Evaluation of meteorological drought indices using meteorological datasets

Evaluation of meteorological drought indices using meteorological datasets | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Evaluation of meteorological drought indices using meteorological datasets mojgan Ahmadi, Hadi Ramezani Etedali, Abbas Kaviani, Alireza Tavakkoli This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1702854/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Drought indices are a suitable tool for management measures and dealing with the phenomenon of drought and are widely used worldwide. In this study, the drought indices of the SPI, CZI, ZSI, and MCZI in different monthly periods (1, 3, 6, 9, 12, 18, 24 and 48) and the DI and PNI in different monthly, seasonal and annual periods in Kurdistan Province (stations Saqqez, Qorveh, Bijar, Sanandaj) were evaluated. GLDAS and CRU precipitation data for 2000–2000 and TRMM precipitation for 2000–2000 were received, and the drought indices were calculated. RMSE, ME and Pearson and Spearman correlation coefficients were used for evaluation. The results of the SPI index showed that there is a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there is no significant relationship for TRMM at Bijar station for the 24-month period. The correlation coefficient results for the Saqqez and Sanandaj stations in periods of 1 to 9 months for the SPI, CZI, ZSI, and MCZI indices were better than those of the Bijar and Qorveh stations. In assessing the SPI and CZI drought indices, the highest RMSE was for GLDAS at Bijar station and for the 48-month period. In general, the results showed that the drought indices of the SPI, CZI, ZSI, MCZI, DI and PNI obtained from the TRMM satellite, CRU dataset and GLDAS model have a good correlation with the drought indices of synoptic stations. Drought indices CRU TRMM GLDAS. Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Introduction Drought is a natural phenomenon that occurs with a lack of precipitation and rising temperatures over a wide range over time (Alizadeh, 2015 ). The environmental effects of drought in arid and semiarid regions are greater than those in wetlands (Samadianfard and Asadi, 2017 ). Droughts are classified into four categories: meteorological, agricultural, hydrological, and social and economic droughts (Wilhite and Glantz, 1985 ). One of the methods of drought analysis and assessment is the use of drought indices (Angledis et al., 2012 ). Precipitation and evapotranspiration are two important factors in determining the occurrence and severity of drought (Kheyri et al., 2021 ). Studies have shown that the use of precipitation-based indices is appropriate for the general assessment of drought (Blekinsop and Fowler, 2007 ). Many researchers have evaluated drought. Shokouhi and Morvati (2014) evaluated the performance of drought and standard rainfall identification indices in the Lake Urmia basin. They used global data on GPCC dataset precipitation and NCEP/NCAR dataset temperature in the period 1980–2010. Their results showed that Lake Urmia suffered from severe drought in 2000–2009. Kheyri et al. ( 2021 ) evaluated drought changes in Iran using the SPEI and SC-PDSI indices. Their results showed that in both indices, the drought dataset was more severe than it was. Komasi and Sharghi ( 2020 ) predicted drought using the SPI index and a combined model of a wave support vector machine in the Urmia Lake basin. Their results showed that the combined wavelet support vector machine model has a high ability to predict the SPI index time series compared to the single vector machine model. Rafiq et al. ( 2022 ) monitored drought using the SPI index in Pakistan's Balochistan Province during the period 2018 − 1986. Their results showed that frequent droughts occurred, and the SPI index identified two distinct drought periods of 2002 − 1998 and 2018 − 2014. Kikon and Deka ( 2022 ) predicted drought in the Indian subcontinent using various machine learning algorithms and the SPI index. They compared two different models, GA-ANFIS and GRNN, and the results of statistical evaluation showed that the performance of the GA-ANFIS model was better than that of the GRNN model. Kurdistan Province has the second largest area under rainfed wheat cultivation in Iran. Drought and rainfall have a great impact on the rainfed crops of this province. In addition, Kurdistan is a mountainous region, and the density of rain gauge stations in this region is low. Therefore, in this study, meteorological drought indices (SPI, CZI, DI, MCZI, PN, ZSI) were evaluated using the CRU dataset, TRMM satellite and GLDAS model in Kurdistan Province. Materials And Methods 2.1. Area study Kurdistan Province is one of the provinces of Iran with Sanandaj as its center, which is located in the west of the country (Fig. 1 ). The area of this province is 29137 km 2 , equivalent to 7.1% of the total area of Iran. The cities of this province are Sanandaj, Saqqez, Marivan, Baneh, Qorveh, Kamyaran, Bijar, Divandere, Dehgolan and Sarvabad. This province is a completely mountainous region. The amount of precipitation in the central part of the province (Saqqez and Sanandaj cities) is close to five hundred millimeters per year. The whole territory of the province has cool and moderate weather in spring and summer. In this study, the precipitation at the Bijar, Saqqez, Qorveh and Sanandaj stations in the period 2000–2020 was used. 2.2. Drought Indices 2.2.1 Standardized Precipitation Index (SPI) The index was compiled in 1993 by McKee et al. of Colorado State University. It is based on rainfall probabilities for any time scale. To calculate the SPI index, the monthly rainfall or the total rainfall in any desired time period (quarterly, six months, etc.) can be fitted using a suitable distribution, such as gamma or Pearson type three distribution. The SPI index for each region is calculated based on the record of its long-term rainfall. First, the appropriate statistical distribution is fitted to the long-term rainfall statistics. The cumulative distribution function is then converted to the normal distribution using equal probabilities. Therefore, it is standardized, and its average for each region and period is zero. Positive SPI values indicate more rainfall than average rainfall, and negative values indicate the opposite. According to this method, the dry period occurs when the SPI is continuously negative, reaches a value of -1 or less, and ends when the SPI becomes positive. In this method, SPI index values are extracted using Eq. ( 1 ), and according to Table 1 , different intensities of drought and wetlands are classified. $$SPI=\frac{{P}_{i}-\stackrel{-}{P}}{SD}$$ 1 SPI: drought index, Pi: annual rainfall, P: total annual rainfall, SD: total annual deviation. To calculate the SPI index, the monthly rainfall or the total rainfall in any desired time range can be fitted using a suitable gamma or Pearson type three distribution. The statistical distribution of gamma has a good fit with the climatic time series of rainfall. The density function of the gamma distribution probability for X > 0 is calculated as Eq. ( 2 ) (Bordi et al., 2004). $$g\left(x\right)=\frac{1}{{\beta }^{\alpha }\left(\alpha \right)}{x}^{\alpha -1}{e}^{-x/\beta }$$ 2 In this equation, α (0 < α) is the shape parameter, β (0 < β) is the scale parameter, x (0 < x) is the amount of precipitation and Γ (α) is the gamma function. To fit rainfall data to the gamma distribution, it is necessary to estimate α and β. To estimate these two parameters, the use of maximum likelihood has been proposed, which are calculated in the form of the following equations (Edwards and Mckee, 1997). $$\widehat{\alpha }=\frac{1}{4A}\left[1+\sqrt{1+\frac{4A}{3}}\right]$$ 3 $$\widehat{\beta }=\frac{\stackrel{-}{X}}{\widehat{\alpha }}$$ 4 In Eq. ( 3 ), the value of A for n observations is estimated as follows. $$A=\text{ln}\left(\stackrel{-}{x}\right)-\frac{\sum \text{l}\text{n}\left(x\right)}{n}$$ 5 In this equation, n is the number of observations in which rainfall has occurred, and \(\stackrel{-}{x}\) is the average rainfall of the desired period (monthly, quarterly, etc.). Using the parameters estimated in the above equations, the cumulative probability of rainfall at the desired scale for each station can be calculated. Assuming \(t=x/\widehat{\beta }\) The cumulative probability will become an incomplete gamma function and is defined as Eq. ( 6 ). $$G\left(x\right)=\frac{1}{\left(\widehat{\alpha }\right)}\underset{0}{\overset{x}{\int }}{t}^{\widehat{\alpha }-1}{e}^{-t}dt$$ 6 Since the gamma function cannot be defined for x = 0 and the rainfall data always contain a large number of observations with zero rainfall, the cumulative rainfall probability becomes Eq. ( 7 ). $$H\left(x\right)=q+\left(1-q\right)G\left(x\right)$$ 7 In this equation, q is equal to the probability that the rainfall values are zero. Finally, H (x) is given to the standard normal distribution with mean zero and standard deviations of one using equations ( 8 ) and ( 9 ), which is known as the obtained result of the SPI value. $$Z=SPI=-\left[t-\frac{{c}_{0}+{c}_{1}t+{c}_{2}{t}^{2}}{1+{d}_{1}t+{d}_{2}{t}^{2}+{d}_{3}{t}^{3}}\right] 0<H\left(x\right)\le 0.5$$ 8 $$Z=SPI=+\left[t-\frac{{c}_{0}+{c}_{1}t+{c}_{2}{t}^{2}}{1+{d}_{1}t+{d}_{2}{t}^{2}+{d}_{3}{t}^{3}}\right] 0.5<H\left(x\right)<1$$ 9 $$t=\sqrt{ln\left[\frac{1}{{\left(1-H\left(x\right)\right)}^{2}}\right]} 0.5<H\left(x\right)<1.0$$ 10 $$t=\sqrt{ln\left[\frac{1}{{\left(H\left(x\right)\right)}^{2}}\right]} 0<H\left(x\right)\le 0.5$$ 11 Thus, the SPI shows the Z score, and it is normalized and shows the amount of deviations higher or lower than the average. Table 1 Classification of SPI SPI Classification \(\ge 2.00\) Extremely wet 1.5 to 1.99 Very wet 1.00 to 1.49 Moderately wet 0 to 0.99 Near Normal 0 to -0.99 Mild drought -1 to -1.49 Moderate drought -1.5 to -1.99 Severe drought \(\le 2.00\) Extreme drought 2.2.2 Deciles Index (Di) Sorting monthly rainfall data by deciles and by normal distribution is another method of monitoring drought. It is calculated by dividing the occurrence of long-term rainfall by decades in the normal distribution and calling each of these groups a decile. The first decile means the amount of rainfall that does not exceed ten percent, and the second decile does not exceed twenty percent of the incidence of rainfall; these deciles continue until the tenth decile. The decile method was selected and used for the Australian drought monitoring system. This is because it is relatively simple to calculate and requires less data and hypotheses than the Palmer index. To use this method, it is necessary for the data to have a normal distribution, and since rainfall data usually do not follow the normal distribution, it is first necessary to normalize the data with one of the appropriate methods. The following two equations, derived from Box–Cox transformations, are used to normalize the data. $$\left\{\begin{array}{c}\frac{{R}^{\lambda }-1}{\lambda } \to \lambda \ne 0\\ {R}_{n}=\text{log}\left(R\right)\to \lambda =0\end{array}\right.\to {R}_{n}=\frac{{\left(R+{\lambda }_{2}\right)}^{{\lambda }_{1}-1}}{{\lambda }_{1}\times {g}^{({\lambda }_{1}-1)}}$$ 12 Rn: normalized rainfall data, R: observed rainfall data, g: geometric mean and λ, λ 1 and λ 2 are the parameters of the equations. Table 2 shows the relationship between decile value and drought status. Table 2 Classification of DI Deciles Classes Weather Conditions 1–2 < 20% Much below normal 3–4 20%-40% Below normal 5–6 40%-60% Near normal 7–8 60%-80% Above normal 9–10 80%-100% Much above normal 2.2.3 Present Of Normal Index (Pni) The normal percentage of rainfall is one of the simplest indices of drought. This index is obtained from Eq. ( 13 ). $$PN=\frac{{P}_{i}}{\stackrel{-}{P}}\times 100$$ 13 Where \({P}_{i}\) : rainfall in year i and \(\stackrel{-}{P}\) : average rainfall in statistical years. This index is always positive and is limited to zero from the bottom and theoretically not limited from the top. The different classes of this index are listed in Table 3 . Table 3 Classification of PNI Drought category PNI threshold (%) Slight drought < 80 Moderate drought < 70 Severe drought < 55 Extreme drought < 40 2.3.4 China Z Index (Czi) And Modified Czi Index (Mczi) The CZI is estimated according to the following equation. $${Z}_{ij}=\frac{6}{{C}_{si}}{\left(\frac{{C}_{si}}{2}{\phi }_{ij}+1\right)}^{1/3}-\frac{6}{{C}_{si}}+\frac{{C}_{si}}{6}$$ 14 where \({Z}_{ij}\) is the CZI index. i is the time scale that can be 1,2.... up to 44 years, and j is the desired year. $${C}_{si}=\frac{\sum _{j=i}^{n}{\left({x}_{ij}-\stackrel{-}{{x}_{i}}\right)}^{3}}{n{{\sigma }_{i}}^{3}}$$ 15 where \({C}_{si}\) : skewness coefficient and n: the total number of years in the statistical period. $${\phi }_{ij}=\frac{{x}_{ij}-\stackrel{-}{{x}_{i}}}{{\sigma }_{i}}$$ 16 Also \({\phi }_{ij}\) : standardized variable, \({ x}_{ij}\) : rainfall of year j for period i, \({\sigma }_{i}\) and \(\stackrel{-}{{x}_{i}}\) are the average and standard deviation of rainfall in each time scale, respectively. SPI classification is used to classify this index. The middle is also used to calculate the CZI instead of the mean, which is called the modified CZI or MCZI. Table 4 Classification of CZI and MCZI CZI and MCZI Classification \(\ge 2.00\) Extremely wet 1.5 to 1.99 Very wet 1.00 to 1.49 Moderately wet 0 to 0.99 Near Normal 0 to -0.99 Mild drought -1 to -1.49 Moderate drought -1.5 to -1.99 Severe drought \(\le 2.00\) Extreme drought 2.3.5 Z Score Index (Zsi) The basis of this index is the deviation from the mean relative to the standard deviation of statistical data, and this index is obtained from Eq. ( 17 ). $$ZSI=\frac{{P}_{i}-\stackrel{-}{P}}{SD}$$ 17 where \({P}_{i}\) : rainfall in year i, SD: standard deviation of rainfall during the statistical period, and \(\stackrel{-}{P}:\) is the average long-term rainfall. The different classes of this index are listed in Table 5 . Table 5 Classification of ZSI ZSI values Classification \(ZSI\ge 0.25\) No drought \(0.25>ZSI\ge -0.25\) Weak drought \(-0.25>ZSI\ge -0.52\) Slight drought \(-0.54>ZSI\ge -0.84\) Moderate drought \(-0.84>ZSI\ge -1.25\) Severe drought ZSI< \(-\) 1.25 Extreme drought In this study, DIP software was used to calculate drought indices. 2.3. Statistical Evaluation Criteria In this study, the rainfall of the Qorveh, Bijar, Saqqez, Sanandaj stations as well as the TRMM satellite, CRU dataset and GLDAS model have been used to calculate drought indices. The TRMM satellite is a joint product of Japan and the United States and was launched on November 27, 1997 (Kummerow et al, 2000 ). The TRMM satellite has sensors such as weather radar, multiple passive microwave radiometers, and highly advanced high-resolution radiometers (Simpson et al, 1988 ). The satellite moves at a relatively low altitude of 350 km for better spatial resolution (Wentz et al, 2001 ). The spatial resolution of the satellite's precipitation products is 0.25 degrees, and its temporal resolution is three hours and daily. The satellite covers latitudes from 50 degrees south to 50 degrees north (Sohn et al, 2010 ). The GLDAS was created by four teams of scientists from the National Aeronautics and Space Administration (NASA), the Godard Space Flight Center (GSFC), the National Oceanic and Atmospheric Administration (NOAA) and the National Center for Environmental Prediction (NCEP). GLDAS presents simulation results of four LSM models, including NOAH, Mosaic, CLM and VIC, since 1979 for the entire Earth at a 1⋅1 degree scale. Additionally, the results of the NOAH model at a scale of 0.25 ⋅ 0.25 degrees from 2000 onward are presented. The resolution for GLDAS products is 3 hours. Monthly products are also produced through the time averaging of 3-hour products (Fangl et al, 2009 ). The CRU Climate Research Base was first established at the College of East Anglia in 1972. These datasets have various information, such as precipitation, average minimum and maximum temperature, number of wet days, cloud cover, potential evapotranspiration and air vapor pressure, which are available to the whole world with a spatial resolution of 0.5 ⋅ 0.5 degrees and a monthly temporal separation (Mitchell et al., 2004 ). In this study, the Pearson and Spearman correlation coefficients, root mean square error (RMSE) and maximum error (ME) were used for evaluation. The RMSE shows the mean of the simulated deviation values from the measured values. This index studies the simulated size error by weighting it into an oversized error. The simulation accuracy is well estimated if the RMSE value is less than 10%. $$RMSE=\sqrt{\frac{\sum _{i=1}^{n}{\left({O}_{i}-{P}_{i}\right)}^{2}}{n}}$$ 18 The ME index, which indicates the highest error in the model and indicates its overestimation or underestimation of the model, is calculated using formula (19). $$ME=Max \left|{{O}_{i}-P}_{i}\right|$$ 19 Large amounts of ME indicate the worst performance. In the mentioned relations, \({O}_{i}\) are the real values, and \({P}_{i}\) are the predicted values with the databases. Results And Discussion CRU and GLDAS precipitation data were received for the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000–2020 and TRMM precipitation for the mentioned stations in the period 2000–2019. A radar diagram of the annual precipitation at the Saqqez, Bijar, Qorveh and Sanandaj stations is presented (Fig. 2 ). Additionally, descriptive parametric and nonparametric precipitation statistics of CRU, GLDAS and TRMM for the stations mentioned in Tables 6 – 8 are presented. Table 6 Parametric and nonparametric descriptive statistics of GLDAS, CRU, TRMM and Saqqez stations Variable N Mean StDev CoefVar Minimum Q1 Median Q3 Maximum Range Skewness Kurtosis Saqqez 21 430.6 96.1 22.33 275.3 363.2 408.9 505.1 647.5 372.3 0.45 -0.30 GLDAS 21 489.9 80.4 16.41 343.7 428.5 493.6 580.9 600.1 256.4 -0.20 -1.13 CRU 21 388.6 75.4 19.41 250.4 336.2 391.0 431.3 571.6 321.2 0.37 0.50 TRMM 20 447.8 109.5 24.45 300.8 361.7 413.6 554.8 644.0 343.1 0.67 -0.73 N: Total data, StDev: Standard deviation, Coef Var: Coefficient of variation, Q1: First quartile, Q3: Third quartile Table 7 Parametric and nonparametric descriptive statistics of the GLDAS, CRU, TRMM and Bijar stations Variable N Mean StDev CoefVar Minimum Q1 Median Q3 Maximum Range Skewness Kurtosis Bijar 21 331.4 60.4 18.24 230.7 291.3 331.2 381.3 458.2 227.5 0.28 -0.35 GLDAS 21 456.1 72.1 15.80 346.3 389.4 450.5 524.9 622.2 275.9 0.56 -0.20 CRU 21 333.6 60.4 18.11 214.4 295.7 323.3 373.8 452.2 237.8 0.15 -0.12 TRMM 20 297.8 73.5 24.67 196.1 240.7 272.7 378.3 427.9 231.8 0.34 -1.31 N: Total data, StDev: Standard deviation, Coef Var: Coefficient of variation, Q1: First quartile, Q3: Third quartile Table 8 Parametric and nonparametric descriptive statistics of the GLDAS, CRU, TRMM and Qorveh stations Variable N Mean StDev CoefVar Minimum Q1 Median Q3 Maximum Range Skewness Kurtosis Qorveh 21 322.8 68.7 21.27 212.9 268.2 310.8 370.7 478.2 265.4 0.63 -0.03 GLDAS 21 447.8 74.3 16.60 346.8 384.9 432.5 502.6 622.0 275.2 0.62 -0.07 CRU 21 347.8 66.6 19.15 230.9 309.8 343.3 380.4 497.9 267.0 0.53 0.30 TRMM 20 338.3 84.9 25.10 219.7 261.6 322.5 417.5 500.6 280.8 0.36 -1.19 N: Total data, StDev: Standard deviation, Coef Var: Coefficient of variation, Q1: First quartile, Q3: Third quartile Table 9 Parametric and nonparametric descriptive statistics of the GLDAS, CRU, TRMM and Sanandaj stations Variable N Mean StDev CoefVar Minimum Q1 Median Q3 Maximum Range Skewness Kurtosis Sanandaj 21 356.3 67.1 18.82 244.1 308.3 351.6 398.0 547.1 303.0 1.08 2.11 GLDAS 21 451.9 78.4 17.34 344.5 387.2 433.3 529.0 622.1 277.6 0.55 -0.61 CRU 21 383.1 76.6 19.98 251.9 340.5 375.6 417.7 583.7 331.8 0.73 1.23 TRMM 20 391.0 104.7 26.79 257.4 291.2 361.4 496.4 584.5 327.1 0.45 -1.21 N: Total data, StDev: Standard deviation, Coef Var: Coefficient of variation, Q1: First quartile, Q3: Third quartile The GLDAS model has the highest average rainfall at Saqqez station, and TRMM has the lowest average rainfall at Bijar station. TRMM has the highest standard deviation at Saqqez station, and CRU has the lowest standard deviation at Bijar station. Spi Index Using GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000–2020 and TRMM in the period 2000–2019, the SPI index in different monthly periods (1, 3, 6, 9, 12, 18, 24, 48) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. 4 and Table 10 . The annual amount of SPI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. 3 ). Sanandaj Qorveh Bijar Saqqez Table 10 Pearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the SPI index p S p P p S p P p S p P p S p P SPI 0 0.79 0 0.82 0 0.76 0 0.76 0 0.74 0 0.75 0 0.86 0 0.87 TRMM 1 Month 0 0.73 0 0.73 0 0.73 0 0.72 0 0.71 0 0.7 0 0.71 0 0.71 CRU 0 0.72 0 0.7 0 0.66 0 0.67 0 0.69 0 0.69 0 0.73 0 0.72 GLDAS 0 0.85 0 0.87 0 0.81 0 0.81 0 0.73 0 0.75 0 0.89 0 0.9 TRMM 3 Month 0 0.81 0 0.8 0 0.8 0 0.78 0 0.72 0 0.74 0 0.74 0 0.78 CRU 0 0.8 0 0.8 0 0.77 0 0.78 0 0.73 0 0.75 0 0.76 0 0.78 GLDAS 0 0.82 0 0.85 0 0.73 0 0.77 0 0.57 0 0.64 0 0.87 0 0.88 TRMM 6 Month 0 0.81 0 0.82 0 0.77 0 0.79 0 0.71 0 0.72 0 0.74 0 0.8 CRU 0 0.83 0 0.84 0 0.75 0 0.79 0 0.66 0 0.7 0 0.76 0 0.79 GLDAS 0 0.77 0 0.78 0 0.61 0 0.67 0 0.4 0 0.48 0 0.84 0 0.84 TRMM 9 Month 0 0.82 0 0.83 0 0.73 0 0.76 0 0.7 0 0.71 0 0.7 0 0.78 CRU 0 0.81 0 0.83 0 0.66 0 73 0 0.55 0 0.61 0 0.73 0 0.77 GLDAS 0 0.75 0 0.75 0 0.58 0 0.63 0 31 0 0.39 0 83 0 0.83 TRMM 12 Month 0 0.84 0 0.86 0 0.72 0 0.75 0 0.67 0 0.71 0 0.67 0 0.81 CRU 0 0.81 0 0.84 0 0.65 0 0.7 0 0.49 0 0.54 0 0.75 0 0.79 GLDAS 0 0.73 0 0.72 0 0.46 0 0.53 0.084 0.12 0.005 0.19 0 0.81 0 0.8 TRMM 18 Month 0 0.85 0 0.87 0 0.68 0 0.73 0 0.62 0 0.7 0 0.69 0 0.81 CRU 0 80 0 0.82 0 0.56 0 0.64 0 0.35 0 0.42 0 0.76 0 0.81 GLDAS 0 0.76 0 0.72 0 0.44 0 0.45 0.939 0 0.857 0.01 0 0.83 0 0.79 TRMM 24 Month 0 0.89 0 0.89 0 0.65 0 0.7 0 0.54 0 0.64 0 0.73 0 0.84 CRU 0 0.82 0 0.8 0 0.54 0 0.57 0 0.26 0 0.3 0 0.76 0 0.8 GLDAS 0 0.85 0 0.81 0 0.37 0 0.37 0 -0.36 0 -0.34 0 0.76 0 0.78 TRMM 48 Month 0 0.87 0 0.86 0 0.46 0 0.49 0.001 0.23 0 0.29 0 0.77 0 0.81 CRU 0 0.83 0 0.8 0 0.37 0 0.39 0.008 -0.18 0.012 -0.17 0 0.76 0 0.78 GLDAS P: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values The lowest RMSE index was for TRMM at Saqqez station and the 3-month period, and the highest RMSE was for GLDAS at Bijar station and the 48-month period. The highest ME was for TRMM at Bijar station and the 48-month period. The lowest ME was for GLDAS at Saqqez station and the 48-month period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at Bijar station for the 24-month period. The results show that in 2019, the SPI index in northwestern Kurdistan Province was low, and the spatial distribution of the SPM index of the TRMM satellite was more in line with the map of synoptic stations. Czi Index Using GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000–2020 and TRMM in the period 2000–2019, the CZI index in different monthly periods (1, 3, 6, 9, 12, 18, 24, 48) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. 6 and Table 11 . The annual CZI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. 5 ). Table 11 Pearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the CZI index Sanandaj Qorveh Bijar Saqqez p S p P p S p P p S p P p S p P CZI 0 0.84 0 0.83 0 0.78 0 0.79 0 0.75 0 0.75 0 0.88 0 0.87 TRMM 1 Month 0 0.77 0 0.75 0 0.75 0 0.74 0 0.72 0 0.71 0 0.7 0 0.66 CRU 0 0.73 0 0.72 0 0.67 0 0.67 0 0.7 0 0.71 0 0.74 0 0.73 GLDAS 0 0.86 0 0.85 0 0.81 0 0.8 0 0.74 0 0.74 0 0.89 0 0.89 TRMM 3 Month 0 0.82 0 0.8 0 0.8 0 0.79 0 0.74 0 0.74 0 0.75 0 0.76 CRU 0 0.81 0 0.79 0 0.78 0 0.76 0 0.74 0 0.74 0 0.77 0 0.77 GLDAS 0 0.82 0 0.83 0 0.73 0 0.76 0 0.59 0 0.62 0 0.87 0 0.87 TRMM 6 Month 0 0.81 0 0.81 0 0.77 0 0.79 0 0.72 0 0.71 0 0.75 0 0.79 CRU 0 0.83 0 0.84 0 0.75 0 0.78 0 0.67 0 0.68 0 0.77 0 0.78 GLDAS 0 0.77 0 0.76 0 0.62 0 0.66 0 0.42 0 0.47 0 0.84 0 0.84 TRMM 9 Month 0 0.82 0 0.81 0 0.73 0 0.73 0 0.71 0 0.72 0 0.72 0 0.79 CRU 0 0.81 0 0.83 0 0.67 0 0.72 0 0.56 0 0.6 0 0.74 0 0.75 GLDAS 0 0.75 0 0.75 0 0.59 0 0.62 0 0.34 0 0.39 0 0.84 0 0.83 TRMM 12 Month 0 0.85 0 0.82 0 0.74 0 0.69 0 0.7 0 0.68 0 0.7 0 0.79 CRU 0 0.81 0 0.84 0 0.67 0 0.71 0 0.51 0 0.55 0 0.76 0 0.77 GLDAS 0 0.73 0 0.72 0 0.48 0 0.53 0.015 0.16 0.003 0.2 0 0.82 0 0.81 TRMM 18 Month 0 0.86 0 0.84 0 0.7 0 0.68 0 0.64 0 0.68 0 0.71 0 0.81 CRU 0 0.8 0 0.82 0 0.58 0 0.63 0 0.38 0 0.42 0 0.77 0 0.79 GLDAS 0 0.75 0 0.71 0 0.46 0 0.46 0.469 0.05 0.594 0.04 0 0.83 0 0.8 TRMM 24 Month 0 0.9 0 0.85 0 0.67 0 0.64 0 0.58 0 0.65 0 0.75 0 0.85 CRU 0 0.82 0 0.8 0 0.56 0 0.58 0 0.3 0 0.32 0 0.76 0 0.79 GLDAS 0 0.84 0 0.82 0 0.4 0 0.39 0 -0.31 0 -0.28 0 0.76 0 0.79 TRMM 48 Month 0 0.87 0 0.87 0 0.49 0 0.5 0 0.3 0 0.3 0 0.79 0 0.83 CRU 0 0.81 0 0.82 0 0.39 0 0.41 0.023 -0.16 0.074 -0.13 0 0.76 0 0.79 GLDAS P: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values The lowest RMSE index was for TRMM at Saqqez station and the 3-month period, and the highest RMSE was for GLDAS at Bijar station and the 48-month period. The highest ME was for TRMM at Qorveh station and the 24-month period. The lowest ME was for CRU at Saqqez station and the 48-month period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the 24-month period and GLDAS at the Bijar station for the 48-month period. The results show that in 2019, the CZI index in the northwest of the province and southeast of Kurdistan was low, and the spatial distribution of the CZI index of the TRMM satellite was more in line with the map of synoptic stations. Mczi Index Using GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000–2020 and TRMM in the period 2000–2019, the MCZI index in different monthly periods (1, 3, 6, 9, 12, 18, 24, 48) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. 7 and Table 12 . Table 12 Pearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the MCZI index Sanandaj Qorveh Bijar Saqqez p S p P p S p P p S p P p S p P MCZI 0 0.82 0 0.81 0 0.74 0 0.76 0 0.79 0 0.78 0 0.84 0 0.84 TRMM 1 Month 0 0.73 0 0.7 0 0.7 0 0.69 0 0.78 0 0.75 0 0.66 0 0.62 CRU 0 0.65 0 0.64 0 0.56 0 0.57 0 0.68 0 0.69 0 0.78 0 0.76 GLDAS 0 0.79 0 0.74 0 0.68 0 0.66 0 0.68 0 0.67 0 0.81 0 0.79 TRMM 3 Month 0 0.67 0 0.67 0 0.59 0 0.59 0 0.72 0 0.7 0 0.69 0 0.69 CRU 0 0.66 0 0.66 0 0.56 0 0.55 0 0.71 0 0.7 0 0.73 0 0.73 GLDAS 0 0.71 0 0.75 0 0.64 0 0.66 0 0.47 0 0.5 0 0.72 0 0.73 TRMM 6 Month 0 0.73 0 0.73 0 0.69 0 0.69 0 0.72 0 0.69 0 0.72 0 0.73 CRU 0 0.72 0 0.74 0 0.66 0 0.66 0 0.65 0 0.66 0 0.76 0 0.76 GLDAS 0 0.66 0 0.68 0 0.54 0 0.55 0 0.3 0 0.35 0 0.72 0 0.74 TRMM 9 Month 0 0.77 0 0.74 0 0.72 0 0.65 0 0.74 0 0.68 0 0.74 0 0.73 CRU 0 0.73 0 0.77 0 0.64 0 0.64 0 0.54 0 0.57 0 0.75 0 0.75 GLDAS 0 0.7 0 0.71 0 0.48 0 0.51 0.001 0.23 0 0.3 0 0.8 0 0.8 TRMM 12 Month 0 0.85 0 0.77 0 0.7 0 0.61 0 0.7 0 0.66 0 0.68 0 0.76 CRU 0 0.8 0 0.81 0 0.63 0 0.63 0 0.5 0 0.54 0 0.74 0 0.74 GLDAS 0 0.66 0 0.66 0 0.4 0 0.41 0.803 -0.02 0.466 0.05 0 0.66 0 0.71 TRMM 18 Month 0 0.84 0 0.8 0 0.65 0 0.57 0 0.64 0 0.68 0 0.72 0 0.76 CRU 0 0.79 0 0.81 0 0.52 0 0.54 0 0.37 0 0.44 0 0.78 0 0.79 GLDAS 0 0.65 0 0.68 0 0.35 0 0.32 0.816 -0.02 0.773 0.02 0 0.78 0 0.77 TRMM 24 Month 0 0.9 0 0.86 0 0.62 0 0.58 0 0.63 0 0.62 0 0.78 0 0.81 CRU 0 0.77 0 0.79 0 0.51 0 0.5 0 0.33 0 0.38 0 0.77 0 0.79 GLDAS 0 0.84 0 0.83 0 0.43 0 0.44 0 -0.26 0.029 -0.16 0 0.76 0 0.75 TRMM 48 Month 0 0.87 0 0.86 0 0.49 0 0.53 0 0.33 0 0.39 0 0.79 0 0.82 CRU 0 0.82 0 0.82 0 0.41 0 0.46 0.102 -0.11 0.844 -0.01 0 0.77 0 0.83 GLDAS P: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values The lowest RMSE index was for CRU at Sanandaj station and the 48-month period, and the highest RMSE was for TRMM at Bijar station and the 48-month period. The highest ME was for CRU at Qorveh station and the 18-month period. The lowest ME was for GLDAS at Sanandaj station and the 48-month period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the 24- and 18-month periods and GLDAS at the Bijar station for the 48-month period. Zsi Index Using GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000–2020 and TRMM in the period 2000–2019, the ZSI index in different monthly periods (1, 3, 6, 9, 12, 18, 24, 48) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. 9 and Table 13 . The annual ZSI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. 8 ). Table 13 Pearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the ZSI index Sanandaj Qorveh Bijar Saqqez p S p P p S p P p S p P p S p P ZSI 0 0.84 0 0.82 0 0.8 0 0.81 0 0.74 0 0.79 0 0.89 0 0.9 TRMM 1 Month 0 0.77 0 0.69 0 0.76 0 0.71 0 0.72 0 0.72 0 0.71 0 0.67 CRU 0 0.74 0 0.68 0 0.68 0 0.66 0 0.71 0 0.75 0 0.73 0 0.71 GLDAS 0 0.86 0 0.86 0 0.82 0 0.8 0 0.74 0 0.72 0 0.9 0 0.89 TRMM 3 Month 0 0.82 0 0.77 0 0.81 0 0.76 0 0.75 0 0.74 0 0.75 0 0.75 CRU 0 0.8 0 0.77 0 0.79 0 0.74 0 0.74 0 0.74 0 0.77 0 0.77 GLDAS 0 0.83 0 0.83 0 0.73 0 0.73 0 0.59 0 0.61 0 0.87 0 0.86 TRMM 6 Month 0 0.81 0 0.79 0 0.77 0 0.77 0 0.72 0 0.71 0 0.75 0 0.79 CRU 0 0.83 0 0.83 0 0.76 0 0.76 0 0.67 0 0.68 0 0.77 0 0.78 GLDAS 0 0.77 0 0.76 0 0.62 0 0.65 0 0.42 0 0.47 0 0.85 0 0.84 TRMM 9 Month 0 0.82 0 0.83 0 0.74 0 0.75 0 0.72 0 0.71 0 0.71 0 0.79 CRU 0 0.81 0 0.82 0 0.67 0 0.71 0 0.56 0 0.6 0 0.74 0 0.75 GLDAS 0 0.76 0 0.74 0 0.59 0 0.61 0 0.34 0 0.4 0 0.84 0 0.83 TRMM 12 Month 0 0.85 0 0.87 0 0.74 0 0.76 0 0.7 0 0.72 0 0.69 0 0.81 CRU 0 0.81 0 0.84 0 0.67 0 0.71 0 0.52 0 0.55 0 0.76 0 0.78 GLDAS 0 0.73 0 0.7 0 0.48 0 0.52 0.014 0.16 0.002 0.21 0 0.82 0 0.8 TRMM 18 Month 0 0.86 0 0.88 0 0.71 0 0.74 0 0.65 0 0.71 0 0.71 0 0.81 CRU 0 0.8 0 0.82 0 0.58 0 0.64 0 0.3 0 0.44 0 0.77 0 0.8 GLDAS 0 0.76 0 0.7 0 0.46 0 0.44 0.48 0.05 0.57 0.04 0 0.83 0 0.79 TRMM 24 Month 0 0.9 0 0.9 0 0.69 0 0.72 0 0.58 0 0.67 0 0.75 0 0.84 CRU 0 0.82 0 0.81 0 0.56 0 0.59 0 0.3 0 0.34 0 0.76 0 0.8 GLDAS 0 0.84 0 0.8 0 0.4 0 0.38 0 -0.31 0 -0.282 0 0.76 0 0.79 TRMM 48 Month 0 0.87 0 0.87 0 0.5 0 0.51 0 0.3 0 0.33 0 0.78 0 0.82 CRU 0 0.81 0 0.81 0 0.39 0 0.41 0 -0.157 0.062 -0.13 0 0.77 0 0.78 GLDAS P: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values The lowest RMSE index was for TRMM at Saqqez station and the 1-month period, and the highest RMSE was for TRMM at Bijar station and the 48-month period. The highest ME was for TRMM at Sanandaj station and the 1-month period. The lowest ME was for CRU at Sanandaj station and the 24-month period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the 24-month period and GLDAS at the Bijar station for the 48-month period. The results show that in 2019, the ZSI index in the northwest of the province and southeast of Kurdistan was low, and the spatial distribution of the ZSI index of the TRMM satellite was more in line with synoptic stations. Di Index Using GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000–2020 and TRMM in the period 2000–2019, the DI index in different periods (monthly, seasonally, yearly) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. 11 and Table 14 . The annual amount of DI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. 12 ). Table 14 Pearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for DI index Sanandaj Qorveh Bijar Saqqez p S p P p S p P p S p P p S p P DI 0 0.81 0 0.8 0 0.76 0 0.75 0 0.72 0 0.72 0 0.84 0 0.84 TRMM Monthly 0 0.74 0 0.73 0 0.73 0 0.73 0 0.69 0 0.69 0 0.7 0 0.71 CRU 0 0.74 0 0.74 0 0.67 0 0.66 0 0.68 0 0.67 0 0.72 0 0.73 GLDAS 0 0.81 0 0.81 0 0.75 0 0.75 0 0.67 0 0.67 0 86 0 0.86 TRMM Seasonaly 0 0.75 0 0.75 0 0.79 0 0.79 0 0.71 0 0.71 0 0.68 0 0.67 CRU 0 0.72 0 0.72 0 0.69 0 0.68 0 0.72 0 0.72 0 0.71 0 0.71 GLDAS 0 0.74 0 0.72 0.03 0.49 0.036 0.47 0.167 0.32 0.114 0.37 0 0.77 0 0.79 TRMM Yearly 0 0.74 0 0.76 0.003 0.62 0.003 0.62 0 0.62 0 0.66 0 0.82 0 0.82 CRU 0 0.79 0 0.78 0.02 0.5 0.017 0.52 0.029 0.48 0 0.5 0 78 0 0.79 GLDAS P: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values The lowest RMSE index was for TRMM at Saqqez station and during the monthly period, and the highest RMSE was for TRMM at Bijar station and during the yearly period. The highest ME was for CRU at Sanandaj, Bijar and Qorveh stations and GLDAS at Qorveh station for the monthly period. The lowest ME was for TRMM at Saqqez station and monthly and yearly periods and CRU at Saqqez station for yearly periods. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the yearly period. The results show that in 2019, the DI index in the northwest of the province and southeast of Kurdistan was low, and the spatial distribution of the DI index of the TRMM satellite and CRU base was more in line with synoptic stations. Pni Index Using GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000–2020 and TRMM in the period 2000–2019, the PNI index in different periods (monthly, seasonally, yearly) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. 13 and Table 15. The annual amount of PNI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. 12 ). The lowest RMSE index was for GLDAS at Sanandaj station and yearly period, and the highest RMSE was for CRU at Sanandaj station and monthly period. The highest ME was for GLDAS at Qorveh station for the monthly period. The lowest ME was for GLDAS at Sanandaj station and yearly period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the yearly period. The results show that in 2019, the PN index in the northwest of the province and southeast of Kurdistan was low, and the spatial distribution of the TRNM satellite PN index and GLDAS model was more in line with synoptic stations. Table 14 Pearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for PNI index Sanandaj Qorveh Bijar Saqqez p S p P p S p P p S p P p S p P PNI 0 0.77 0 0.67 0 0.73 0 0.83 0 0.73 0 0.8 0 0.88 0 0.91 TRMM Monthly 0 0.74 0 0.56 0 0.76 0 0.65 0 0.71 0 0.71 0 0.72 0 0.55 CRU 0 0.69 0 0.57 0 0.62 0 0.59 0 0.66 0 0.75 0 0.7 0 0.59 GLDAS 0 0.81 0 0.77 0 0.77 0 0.81 0 0.75 0 0.67 0 0.89 0 0.89 TRMM Seasonaly 0 0.76 0 0.67 0 0.82 0 0.66 0 0.73 0 0.67 0 0.66 0 0.52 CRU 0 0.69 0 0.56 0 0.68 0 0.59 0 0.73 0 0.68 0 0.68 0 0.64 GLDAS 0 0.74 0.002 0.65 0.008 0.57 0.015 0.54 0.214 0.29 0.102 0.38 0 0.82 0 0.81 TRMM Yearly 0 0.73 0 0.83 0.001 0.68 0.001 0.69 0.002 0.64 0 0.74 0 0.78 0 0.82 CRU 0 0.78 0 0.83 0.005 0.59 0.005 0.59 0.062 0.41 0.01 0.55 0 0.79 0 0.76 GLDAS P: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values Niazi et al. ( 2018 ) used soil moisture output from GLDAS to prepare a spatial distribution map of drought during the statistical period of 2004 − 2001 in Central Iran. Their results showed that the drought intensity estimated by the GLDAS-SMDI index had a significant correlation with the SPI drought intensity map at the 95% confidence level. Wei et al ( 2021 ) the constrained optimization method was used to establish weights for the MODIS-derived Vegetation Conditional Index (VCI), TRMM-derived Precipitation Condition Index (PCI), and GLDAS-derived Soil Moisture Condition Index (SMCI) and calculate the Optimized Meteorological Drought Index (OMDI) based on the Standard Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and weather stations. Their results indicated that the OMDI was suitable to monitor meteorological drought. Conclusion Field measurements are very accurate for generating drought indices, but the preparation of these indices in large areas due to insufficient density of ground measuring stations, high cost of construction and maintenance of these stations and poor data quality of ground measuring networks reduce the ability to show the spatial pattern. Therefore, it is necessary to identify data sources that can address these shortcomings and use them after evaluation. Spatial observations with the ability to receive information with the power of spatial and temporal resolution over a large area of the Earth make it possible to monitor droughts using remote sensing technology (Niazi et al., 2018 ). Kurdistan Province has the second largest area under rainfed wheat cultivation in Iran. Drought and rainfall have a great impact on the rainfed crops of this province. In addition, Kurdistan is a mountainous region, and the density of rain gauge stations in this region is low. Therefore, in this study, from the output of TRMM, CRU and GLDAS, drought indices of SPI, CZI, ZSI, MCZI in different monthly periods (1, 3, 6, 9, 12, 18, 24 and 48), DI and PNI in different periods monthly, seasonal and annual in Kurdistan Province (Saqqez, Qorveh, Bijar, Sanandaj stations) were calculated and evaluated with synoptic station data.The results of the correlation coefficient for the Saqqez and Sanandaj stations in periods of 1 to 9 months for the SPI, CZI, ZSI, MCZI indices were better than those of the Bijar and Qorveh stations. In assessing the SPI and CZI drought index, the lowest RMSE was for TRMM at Saqqez station and for the 3-month period. In the evaluation of the MCZI index, the lowest RMSE was for CRU at Sanandaj station and the 48-month period. In evaluating the ZSI index, the lowest RMSE was for TRMM at the Saqqez station and at the 1-month period. In evaluating DI and PN indices, the lowest RMSE indices were for TRMM at Saqqez station and seasonal period, and GLDAS at Sanandaj station and annual period, respectively. Therefore, it can be concluded that the precipitation of the mentioned bases and models can be used to quickly and cheaply estimate the intensity of rainfall-based drought. Declarations Conflict of Interest The authors declare no competing interests . Funding Statement The authors declare that no funds, grants, or other support were received during the preparation of this manuscript. Data availability The data that support the findings of this study are available from the first author, upon reasonable request. Ethics approval Not applicable Declaration of competing interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. CRediT authorship contribution statement: Mojgan Ahmadi: Conceptualization, Methodology, Software, Writing–original draft. Hadi Ramezani Etedali, Abbas Kaviani and Alireza Tavakkoli: Visualization, Data curation, Writing – review & editing. References Samadianfard S, Asadi E (2017) Prediction of SPI drought index using support vector and multiple linear regressions. Water and soil resource protection 6(4):1–16 Komasi M, Sharghi S (2020) Drought Forecasting Using Wavelet - Support Vector Machine and Standardized Precipitation Index (Case Study: Urmia Lake-Iran). Environ Sci Technol 22(7):83–101 Shokoohi A, Moravati R (2014) An investigation on the Urmia Lake Basin drought using RDI and SPI indices. Watershed Eng Manage 6(3):232–246 Niazi Y, Talebi A, Mokhtari MH, Vazifedoust M (2018) Presenting a soil moisture-based drought index derived from Global Land Data Assimilation System (GLDAS-SMDI) in Central Iran. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-1702854","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":116315090,"identity":"4bbac163-5dd6-44c4-8726-f595d0adda6d","order_by":0,"name":"mojgan Ahmadi","email":"","orcid":"","institution":"Imam Khomeini International University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"mojgan","middleName":"","lastName":"Ahmadi","suffix":""},{"id":116315091,"identity":"c19b94c1-c6dc-46dd-829f-0cb165a52285","order_by":1,"name":"Hadi Ramezani Etedali","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA90lEQVRIiWNgGAWjYBAC+wYIzcMPpgwSeCB8A9xaDA5AtUg2kKoFxkgg7DCD46cTH/6ouSNjfLz38AuGgjQZgwPMDz8wFNzDqcW+J3ezgcSxZzxmZ86lWTAY5PAYHGAzlmAwKMapxY4hd5uEAdthHrMbOWYGDAYVQC0MZiBP4dRizP92+4+Ef4d5jOe/gWlh/4ZXi+GM3G0MB9sO8xhI8Bg/gDiMB78tBjfebpZs7DvMI3Emx4whwSCNR/IwT7FEAj4t53M3fvzx7bA9f/sZ4w8f/iTb8x1v3whk4NaCDNgkwOqYGYiKHjBg/kCkwlEwCkbBKBhhAADSH1GGqxO6yAAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-4840-0201","institution":"Imam Khomeini International University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Hadi","middleName":"Ramezani","lastName":"Etedali","suffix":""},{"id":116315092,"identity":"d95989f4-006f-4e01-b23f-7a67b3cf4b22","order_by":2,"name":"Abbas Kaviani","email":"","orcid":"","institution":"Imam Khomeini International University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Abbas","middleName":"","lastName":"Kaviani","suffix":""},{"id":116315093,"identity":"c4d066ac-7b0a-4a29-8a18-14620b5ec6af","order_by":3,"name":"Alireza Tavakkoli","email":"","orcid":"","institution":"Agricultural Engineering Research Institute","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Alireza","middleName":"","lastName":"Tavakkoli","suffix":""}],"badges":[],"createdAt":"2022-05-28 13:33:35","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1702854/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1702854/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":23648526,"identity":"e4f0ad90-9cc3-4c55-8f5d-d0271dc2cd33","added_by":"auto","created_at":"2022-07-08 18:43:18","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":548468,"visible":true,"origin":"","legend":"\u003cp\u003eLocation of the study area\u003c/p\u003e","description":"","filename":"resizedfig1.png","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/3cc0ae99dfbd3bf4af367b03.png"},{"id":23648850,"identity":"1f5b2e29-37ea-4c34-8a5a-72f8b5345108","added_by":"auto","created_at":"2022-07-08 18:53:18","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":348096,"visible":true,"origin":"","legend":"\u003cp\u003eRainfall radar diagram\u003c/p\u003e","description":"","filename":"resizedfig2.png","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/46ddfbaef634e6da331c504b.png"},{"id":23648253,"identity":"af2990d7-6142-4e9e-b7fe-03ceac69b2b7","added_by":"auto","created_at":"2022-07-08 18:33:18","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":616795,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial distribution of the SPI index in 2019\u003c/p\u003e","description":"","filename":"resizedfig3.png","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/248893312e8d5149368fe5ae.png"},{"id":23648255,"identity":"93f5a3ab-aac7-4296-8a9b-7e902e2bb3df","added_by":"auto","created_at":"2022-07-08 18:33:18","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":111712,"visible":true,"origin":"","legend":"\u003cp\u003eStatistical evaluation of CRU, TRMM, GLDAS with the Saqqez, Qorveh, Bijar and Sanandaj stations for the SPI index\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/6b95e1ffe26d9f7da742c05f.jpg"},{"id":23648488,"identity":"ee10435a-5c21-4c9e-9d5c-224b61831923","added_by":"auto","created_at":"2022-07-08 18:38:18","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":619969,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial distribution of the CZI index in 2019\u003c/p\u003e","description":"","filename":"resizedfig5.png","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/cab672a91e13d64098ff1fc4.png"},{"id":23648529,"identity":"f6885668-3d1e-4d47-96f0-1a1c82bbacdb","added_by":"auto","created_at":"2022-07-08 18:43:18","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":86748,"visible":true,"origin":"","legend":"\u003cp\u003eStatistical evaluation of CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the CZI index\u003c/p\u003e","description":"","filename":"6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/b760661fe0d3e33208b3a2c0.jpg"},{"id":23648773,"identity":"67b6cb0c-8f07-4d2a-9cf6-2c22e7745593","added_by":"auto","created_at":"2022-07-08 18:48:18","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":88474,"visible":true,"origin":"","legend":"\u003cp\u003eStatistical evaluation of CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the MCZI index\u003c/p\u003e","description":"","filename":"7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/3f34bd7ab4595907f2e292a7.jpg"},{"id":23648262,"identity":"9f8f7a22-eb87-4ca8-bf28-8a3365e18374","added_by":"auto","created_at":"2022-07-08 18:33:18","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":54331,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial distribution of the ZSI index in 2019\u003c/p\u003e","description":"","filename":"8.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/1f7f2d19709707cea7c848d5.jpg"},{"id":23648264,"identity":"490b0986-5411-409a-afa1-4f794ea6bcb9","added_by":"auto","created_at":"2022-07-08 18:33:18","extension":"jpg","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":94350,"visible":true,"origin":"","legend":"\u003cp\u003eStatistical evaluation of CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the ZSI index\u003c/p\u003e","description":"","filename":"9.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/562451e92cc26e7116a23f5c.jpg"},{"id":23648494,"identity":"fac018ef-12f3-4340-9304-b5b2882de627","added_by":"auto","created_at":"2022-07-08 18:38:18","extension":"jpg","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":54845,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial distribution of the DI index in 2019\u003c/p\u003e","description":"","filename":"10.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/ea05f528ec8e4d67928d19dd.jpg"},{"id":23648492,"identity":"b3562715-ba0d-4c97-b9e6-c4276bb13123","added_by":"auto","created_at":"2022-07-08 18:38:18","extension":"jpg","order_by":11,"title":"Figure 11","display":"","copyAsset":false,"role":"figure","size":63487,"visible":true,"origin":"","legend":"\u003cp\u003eStatistical evaluation of CRU, TRMM, GLDAS with the Saqqez, Qorveh, Bijar and Sanandaj stations for the DI index\u003c/p\u003e","description":"","filename":"11.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/125c334642b5feae7bd511e8.jpg"},{"id":23648259,"identity":"ae81df20-deb0-4092-a833-e3411ba6d124","added_by":"auto","created_at":"2022-07-08 18:33:18","extension":"jpg","order_by":12,"title":"Figure 12","display":"","copyAsset":false,"role":"figure","size":54629,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial distribution of the PNI index in 2019\u003c/p\u003e","description":"","filename":"12.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/e3cd871aa603afa8cecdf2c2.jpg"},{"id":24037557,"identity":"38cdafa0-742f-4a7d-b399-8bfdc0260a5f","added_by":"auto","created_at":"2022-07-19 14:01:46","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2317939,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1702854/v1/0f584259-e103-491b-8752-43d1e278fcd6.pdf"}],"financialInterests":"","formattedTitle":"Evaluation of meteorological drought indices using meteorological datasets","fulltext":[{"header":"Introduction","content":"\u003cp\u003eDrought is a natural phenomenon that occurs with a lack of precipitation and rising temperatures over a wide range over time (Alizadeh, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). The environmental effects of drought in arid and semiarid regions are greater than those in wetlands (Samadianfard and Asadi, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Droughts are classified into four categories: meteorological, agricultural, hydrological, and social and economic droughts (Wilhite and Glantz, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e1985\u003c/span\u003e). One of the methods of drought analysis and assessment is the use of drought indices (Angledis et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2012\u003c/span\u003e). Precipitation and evapotranspiration are two important factors in determining the occurrence and severity of drought (Kheyri et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Studies have shown that the use of precipitation-based indices is appropriate for the general assessment of drought (Blekinsop and Fowler, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2007\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eMany researchers have evaluated drought. Shokouhi and Morvati (2014) evaluated the performance of drought and standard rainfall identification indices in the Lake Urmia basin. They used global data on GPCC dataset precipitation and NCEP/NCAR dataset temperature in the period 1980\u0026ndash;2010. Their results showed that Lake Urmia suffered from severe drought in 2000\u0026ndash;2009. Kheyri et al. (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) evaluated drought changes in Iran using the SPEI and SC-PDSI indices. Their results showed that in both indices, the drought dataset was more severe than it was. Komasi and Sharghi (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) predicted drought using the SPI index and a combined model of a wave support vector machine in the Urmia Lake basin. Their results showed that the combined wavelet support vector machine model has a high ability to predict the SPI index time series compared to the single vector machine model. Rafiq et al. (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) monitored drought using the SPI index in Pakistan's Balochistan Province during the period 2018\u0026thinsp;\u0026minus;\u0026thinsp;1986. Their results showed that frequent droughts occurred, and the SPI index identified two distinct drought periods of 2002\u0026thinsp;\u0026minus;\u0026thinsp;1998 and 2018\u0026thinsp;\u0026minus;\u0026thinsp;2014. Kikon and Deka (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) predicted drought in the Indian subcontinent using various machine learning algorithms and the SPI index. They compared two different models, GA-ANFIS and GRNN, and the results of statistical evaluation showed that the performance of the GA-ANFIS model was better than that of the GRNN model.\u003c/p\u003e \u003cp\u003eKurdistan Province has the second largest area under rainfed wheat cultivation in Iran. Drought and rainfall have a great impact on the rainfed crops of this province. In addition, Kurdistan is a mountainous region, and the density of rain gauge stations in this region is low. Therefore, in this study, meteorological drought indices (SPI, CZI, DI, MCZI, PN, ZSI) were evaluated using the CRU dataset, TRMM satellite and GLDAS model in Kurdistan Province.\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Area study\u003c/h2\u003e \u003cp\u003eKurdistan Province is one of the provinces of Iran with Sanandaj as its center, which is located in the west of the country (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The area of this province is 29137 km\u003csup\u003e2\u003c/sup\u003e, equivalent to 7.1% of the total area of Iran. The cities of this province are Sanandaj, Saqqez, Marivan, Baneh, Qorveh, Kamyaran, Bijar, Divandere, Dehgolan and Sarvabad. This province is a completely mountainous region. The amount of precipitation in the central part of the province (Saqqez and Sanandaj cities) is close to five hundred millimeters per year. The whole territory of the province has cool and moderate weather in spring and summer. In this study, the precipitation at the Bijar, Saqqez, Qorveh and Sanandaj stations in the period 2000\u0026ndash;2020 was used.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch2\u003e2.2. Drought Indices\u003c/h2\u003e\n\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1 Standardized Precipitation Index (SPI)\u003c/h2\u003e \u003cp\u003eThe index was compiled in 1993 by McKee et al. of Colorado State University. It is based on rainfall probabilities for any time scale. To calculate the SPI index, the monthly rainfall or the total rainfall in any desired time period (quarterly, six months, etc.) can be fitted using a suitable distribution, such as gamma or Pearson type three distribution. The SPI index for each region is calculated based on the record of its long-term rainfall. First, the appropriate statistical distribution is fitted to the long-term rainfall statistics. The cumulative distribution function is then converted to the normal distribution using equal probabilities. Therefore, it is standardized, and its average for each region and period is zero. Positive SPI values indicate more rainfall than average rainfall, and negative values indicate the opposite. According to this method, the dry period occurs when the SPI is continuously negative, reaches a value of -1 or less, and ends when the SPI becomes positive.\u003c/p\u003e \u003cp\u003eIn this method, SPI index values are extracted using Eq.\u0026nbsp;(\u003cspan refid=\"Equ1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), and according to Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, different intensities of drought and wetlands are classified.\u003cdiv id=\"Equ1\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ1\" name=\"EquationSource\"\u003e\n$$SPI=\\frac{{P}_{i}-\\stackrel{-}{P}}{SD}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e1\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eSPI: drought index, Pi: annual rainfall, P: total annual rainfall, SD: total annual deviation.\u003c/p\u003e \u003cp\u003eTo calculate the SPI index, the monthly rainfall or the total rainfall in any desired time range can be fitted using a suitable gamma or Pearson type three distribution. The statistical distribution of gamma has a good fit with the climatic time series of rainfall. The density function of the gamma distribution probability for X\u0026thinsp;\u0026gt;\u0026thinsp;0 is calculated as Eq.\u0026nbsp;(\u003cspan refid=\"Equ2\" class=\"InternalRef\"\u003e2\u003c/span\u003e) (Bordi et al., 2004).\u003cdiv id=\"Equ2\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ2\" name=\"EquationSource\"\u003e\n$$g\\left(x\\right)=\\frac{1}{{\\beta }^{\\alpha }\\left(\\alpha \\right)}{x}^{\\alpha -1}{e}^{-x/\\beta }$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e2\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eIn this equation, α (0\u0026thinsp;\u0026lt;\u0026thinsp;α) is the shape parameter, β (0\u0026thinsp;\u0026lt;\u0026thinsp;β) is the scale parameter, x (0\u0026thinsp;\u0026lt;\u0026thinsp;x) is the amount of precipitation and Γ (α) is the gamma function.\u003c/p\u003e \u003cp\u003eTo fit rainfall data to the gamma distribution, it is necessary to estimate α and β. To estimate these two parameters, the use of maximum likelihood has been proposed, which are calculated in the form of the following equations (Edwards and Mckee, 1997).\u003cdiv id=\"Equ3\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ3\" name=\"EquationSource\"\u003e\n$$\\widehat{\\alpha }=\\frac{1}{4A}\\left[1+\\sqrt{1+\\frac{4A}{3}}\\right]$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e3\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Equ4\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ4\" name=\"EquationSource\"\u003e\n$$\\widehat{\\beta }=\\frac{\\stackrel{-}{X}}{\\widehat{\\alpha }}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e4\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eIn Eq.\u0026nbsp;(\u003cspan refid=\"Equ3\" class=\"InternalRef\"\u003e3\u003c/span\u003e), the value of A for n observations is estimated as follows.\u003cdiv id=\"Equ5\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ5\" name=\"EquationSource\"\u003e\n$$A=\\text{ln}\\left(\\stackrel{-}{x}\\right)-\\frac{\\sum \\text{l}\\text{n}\\left(x\\right)}{n}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e5\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eIn this equation, n is the number of observations in which rainfall has occurred, and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\stackrel{-}{x}\\)\u003c/span\u003e\u003c/span\u003e is the average rainfall of the desired period (monthly, quarterly, etc.). Using the parameters estimated in the above equations, the cumulative probability of rainfall at the desired scale for each station can be calculated. Assuming \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(t=x/\\widehat{\\beta }\\)\u003c/span\u003e\u003c/span\u003e The cumulative probability will become an incomplete gamma function and is defined as Eq.\u0026nbsp;(\u003cspan refid=\"Equ6\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003cdiv id=\"Equ6\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ6\" name=\"EquationSource\"\u003e\n$$G\\left(x\\right)=\\frac{1}{\\left(\\widehat{\\alpha }\\right)}\\underset{0}{\\overset{x}{\\int }}{t}^{\\widehat{\\alpha }-1}{e}^{-t}dt$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e6\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eSince the gamma function cannot be defined for x\u0026thinsp;=\u0026thinsp;0 and the rainfall data always contain a large number of observations with zero rainfall, the cumulative rainfall probability becomes Eq.\u0026nbsp;(\u003cspan refid=\"Equ7\" class=\"InternalRef\"\u003e7\u003c/span\u003e).\u003cdiv id=\"Equ7\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ7\" name=\"EquationSource\"\u003e\n$$H\\left(x\\right)=q+\\left(1-q\\right)G\\left(x\\right)$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e7\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eIn this equation, q is equal to the probability that the rainfall values are zero. Finally, H (x) is given to the standard normal distribution with mean zero and standard deviations of one using equations (\u003cspan refid=\"Equ8\" class=\"InternalRef\"\u003e8\u003c/span\u003e) and (\u003cspan refid=\"Equ9\" class=\"InternalRef\"\u003e9\u003c/span\u003e), which is known as the obtained result of the SPI value.\u003cdiv id=\"Equ8\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ8\" name=\"EquationSource\"\u003e\n$$Z=SPI=-\\left[t-\\frac{{c}_{0}+{c}_{1}t+{c}_{2}{t}^{2}}{1+{d}_{1}t+{d}_{2}{t}^{2}+{d}_{3}{t}^{3}}\\right] 0\u0026lt;H\\left(x\\right)\\le 0.5$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e8\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Equ9\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ9\" name=\"EquationSource\"\u003e\n$$Z=SPI=+\\left[t-\\frac{{c}_{0}+{c}_{1}t+{c}_{2}{t}^{2}}{1+{d}_{1}t+{d}_{2}{t}^{2}+{d}_{3}{t}^{3}}\\right] 0.5\u0026lt;H\\left(x\\right)\u0026lt;1$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e9\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Equ10\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ10\" name=\"EquationSource\"\u003e\n$$t=\\sqrt{ln\\left[\\frac{1}{{\\left(1-H\\left(x\\right)\\right)}^{2}}\\right]} 0.5\u0026lt;H\\left(x\\right)\u0026lt;1.0$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e10\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Equ11\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ11\" name=\"EquationSource\"\u003e\n$$t=\\sqrt{ln\\left[\\frac{1}{{\\left(H\\left(x\\right)\\right)}^{2}}\\right]} 0\u0026lt;H\\left(x\\right)\\le 0.5$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e11\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eThus, the SPI shows the Z score, and it is normalized and shows the amount of deviations higher or lower than the average.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eClassification of SPI\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSPI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClassification\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\ge 2.00\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExtremely wet\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1.5 to 1.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eVery wet\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1.00 to 1.49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerately wet\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e0 to 0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNear Normal\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e0 to -0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMild drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e-1 to -1.49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerate drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e-1.5 to -1.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSevere drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\le 2.00\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExtreme drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch2\u003e2.2.2 Deciles Index (Di)\u003c/h2\u003e\n\u003cp\u003eSorting monthly rainfall data by deciles and by normal distribution is another method of monitoring drought. It is calculated by dividing the occurrence of long-term rainfall by decades in the normal distribution and calling each of these groups a decile. The first decile means the amount of rainfall that does not exceed ten percent, and the second decile does not exceed twenty percent of the incidence of rainfall; these deciles continue until the tenth decile.\u003c/p\u003e \u003cp\u003eThe decile method was selected and used for the Australian drought monitoring system. This is because it is relatively simple to calculate and requires less data and hypotheses than the Palmer index. To use this method, it is necessary for the data to have a normal distribution, and since rainfall data usually do not follow the normal distribution, it is first necessary to normalize the data with one of the appropriate methods. The following two equations, derived from Box\u0026ndash;Cox transformations, are used to normalize the data.\u003cdiv id=\"Equ12\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ12\" name=\"EquationSource\"\u003e\n$$\\left\\{\\begin{array}{c}\\frac{{R}^{\\lambda }-1}{\\lambda } \\to \\lambda \\ne 0\\\\ {R}_{n}=\\text{log}\\left(R\\right)\\to \\lambda =0\\end{array}\\right.\\to {R}_{n}=\\frac{{\\left(R+{\\lambda }_{2}\\right)}^{{\\lambda }_{1}-1}}{{\\lambda }_{1}\\times {g}^{({\\lambda }_{1}-1)}}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e12\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eRn: normalized rainfall data, R: observed rainfall data, g: geometric mean and λ, λ\u003csub\u003e1\u003c/sub\u003e and λ\u003csub\u003e2\u003c/sub\u003e are the parameters of the equations. Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows the relationship between decile value and drought status.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eClassification of DI\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDeciles\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClasses\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eWeather Conditions\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u0026ndash;2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;20%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMuch below normal\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3\u0026ndash;4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20%-40%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBelow normal\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5\u0026ndash;6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40%-60%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNear normal\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e7\u0026ndash;8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e60%-80%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAbove normal\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e9\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e80%-100%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMuch above normal\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch2\u003e2.2.3 Present Of Normal Index (Pni)\u003c/h2\u003e\n\u003cp\u003eThe normal percentage of rainfall is one of the simplest indices of drought. This index is obtained from Eq.\u0026nbsp;(\u003cspan refid=\"Equ13\" class=\"InternalRef\"\u003e13\u003c/span\u003e).\u003cdiv id=\"Equ13\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ13\" name=\"EquationSource\"\u003e\n$$PN=\\frac{{P}_{i}}{\\stackrel{-}{P}}\\times 100$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e13\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eWhere\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({P}_{i}\\)\u003c/span\u003e\u003c/span\u003e: rainfall in year i and\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\stackrel{-}{P}\\)\u003c/span\u003e\u003c/span\u003e: average rainfall in statistical years. This index is always positive and is limited to zero from the bottom and theoretically not limited from the top. The different classes of this index are listed in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eClassification of PNI\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrought category\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePNI threshold (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSlight drought\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;80\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModerate drought\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;70\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSevere drought\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;55\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExtreme drought\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;40\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch2\u003e2.3.4 China Z Index (Czi) And Modified Czi Index (Mczi)\u003c/h2\u003e\n\u003cp\u003e \u003cb\u003eThe\u003c/b\u003e CZI is estimated according to the following equation.\u003cdiv id=\"Equ14\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ14\" name=\"EquationSource\"\u003e\n$${Z}_{ij}=\\frac{6}{{C}_{si}}{\\left(\\frac{{C}_{si}}{2}{\\phi }_{ij}+1\\right)}^{1/3}-\\frac{6}{{C}_{si}}+\\frac{{C}_{si}}{6}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e14\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003ewhere \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({Z}_{ij}\\)\u003c/span\u003e\u003c/span\u003e is the CZI index. i is the time scale that can be 1,2.... up to 44 years, and j is the desired year.\u003cdiv id=\"Equ15\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ15\" name=\"EquationSource\"\u003e\n$${C}_{si}=\\frac{\\sum _{j=i}^{n}{\\left({x}_{ij}-\\stackrel{-}{{x}_{i}}\\right)}^{3}}{n{{\\sigma }_{i}}^{3}}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e15\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003ewhere\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({C}_{si}\\)\u003c/span\u003e\u003c/span\u003e: skewness coefficient and n: the total number of years in the statistical period.\u003cdiv id=\"Equ16\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ16\" name=\"EquationSource\"\u003e\n$${\\phi }_{ij}=\\frac{{x}_{ij}-\\stackrel{-}{{x}_{i}}}{{\\sigma }_{i}}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e16\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eAlso\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({\\phi }_{ij}\\)\u003c/span\u003e\u003c/span\u003e: standardized variable,\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({ x}_{ij}\\)\u003c/span\u003e\u003c/span\u003e: rainfall of year j for period i, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({\\sigma }_{i}\\)\u003c/span\u003e\u003c/span\u003e and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\stackrel{-}{{x}_{i}}\\)\u003c/span\u003e\u003c/span\u003e are the average and standard deviation of rainfall in each time scale, respectively.\u003c/p\u003e \u003cp\u003eSPI classification is used to classify this index. The middle is also used to calculate the CZI instead of the mean, which is called the modified CZI or MCZI.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eClassification of CZI and MCZI\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCZI and MCZI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClassification\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\ge 2.00\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExtremely wet\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1.5 to 1.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eVery wet\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1.00 to 1.49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerately wet\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e0 to 0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNear Normal\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e0 to -0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMild drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e-1 to -1.49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerate drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e-1.5 to -1.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSevere drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\le 2.00\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExtreme drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch2\u003e2.3.5 Z Score Index (Zsi)\u003c/h2\u003e\n\u003cp\u003eThe basis of this index is the deviation from the mean relative to the standard deviation of statistical data, and this index is obtained from Eq.\u0026nbsp;(\u003cspan refid=\"Equ17\" class=\"InternalRef\"\u003e17\u003c/span\u003e).\u003cdiv id=\"Equ17\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ17\" name=\"EquationSource\"\u003e\n$$ZSI=\\frac{{P}_{i}-\\stackrel{-}{P}}{SD}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e17\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003ewhere\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({P}_{i}\\)\u003c/span\u003e\u003c/span\u003e: rainfall in year i, SD: standard deviation of rainfall during the statistical period, and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\stackrel{-}{P}:\\)\u003c/span\u003e\u003c/span\u003e is the average long-term rainfall. The different classes of this index are listed in Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eClassification of ZSI\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eZSI values\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClassification\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(ZSI\\ge 0.25\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(0.25\u0026gt;ZSI\\ge -0.25\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWeak drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(-0.25\u0026gt;ZSI\\ge -0.52\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSlight drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(-0.54\u0026gt;ZSI\\ge -0.84\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerate drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(-0.84\u0026gt;ZSI\\ge -1.25\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSevere drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eZSI\u0026lt; \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(-\\)\u003c/span\u003e\u003c/span\u003e1.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExtreme drought\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn this study, DIP software was used to calculate drought indices.\u003c/p\u003e\n\u003ch2\u003e2.3. Statistical Evaluation Criteria\u003c/h2\u003e\n\u003cp\u003eIn this study, the rainfall of the Qorveh, Bijar, Saqqez, Sanandaj stations as well as the TRMM satellite, CRU dataset and GLDAS model have been used to calculate drought indices.\u003c/p\u003e \u003cp\u003eThe TRMM satellite is a joint product of Japan and the United States and was launched on November 27, 1997 (Kummerow et al, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2000\u003c/span\u003e). The TRMM satellite has sensors such as weather radar, multiple passive microwave radiometers, and highly advanced high-resolution radiometers (Simpson et al, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e1988\u003c/span\u003e). The satellite moves at a relatively low altitude of 350 km for better spatial resolution (Wentz et al, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). The spatial resolution of the satellite's precipitation products is 0.25 degrees, and its temporal resolution is three hours and daily. The satellite covers latitudes from 50 degrees south to 50 degrees north (Sohn et al, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2010\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe GLDAS was created by four teams of scientists from the National Aeronautics and Space Administration (NASA), the Godard Space Flight Center (GSFC), the National Oceanic and Atmospheric Administration (NOAA) and the National Center for Environmental Prediction (NCEP). GLDAS presents simulation results of four LSM models, including NOAH, Mosaic, CLM and VIC, since 1979 for the entire Earth at a 1\u0026sdot;1 degree scale. Additionally, the results of the NOAH model at a scale of 0.25 \u0026sdot; 0.25 degrees from 2000 onward are presented. The resolution for GLDAS products is 3 hours. Monthly products are also produced through the time averaging of 3-hour products (Fangl et al, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2009\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe CRU Climate Research Base was first established at the College of East Anglia in 1972. These datasets have various information, such as precipitation, average minimum and maximum temperature, number of wet days, cloud cover, potential evapotranspiration and air vapor pressure, which are available to the whole world with a spatial resolution of 0.5 \u0026sdot; 0.5 degrees and a monthly temporal separation (Mitchell et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2004\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn this study, the Pearson and Spearman correlation coefficients, root mean square error (RMSE) and maximum error (ME) were used for evaluation.\u003c/p\u003e \u003cp\u003eThe RMSE shows the mean of the simulated deviation values from the measured values. This index studies the simulated size error by weighting it into an oversized error. The simulation accuracy is well estimated if the RMSE value is less than 10%.\u003cdiv id=\"Equ18\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ18\" name=\"EquationSource\"\u003e\n$$RMSE=\\sqrt{\\frac{\\sum _{i=1}^{n}{\\left({O}_{i}-{P}_{i}\\right)}^{2}}{n}}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e18\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eThe ME index, which indicates the highest error in the model and indicates its overestimation or underestimation of the model, is calculated using formula (19).\u003cdiv id=\"Equ19\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ19\" name=\"EquationSource\"\u003e\n$$ME=Max \\left|{{O}_{i}-P}_{i}\\right|$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e19\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eLarge amounts of ME indicate the worst performance. In the mentioned relations, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({O}_{i}\\)\u003c/span\u003e\u003c/span\u003eare the real values, and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({P}_{i}\\)\u003c/span\u003e\u003c/span\u003eare the predicted values with the databases.\u003c/p\u003e\n"},{"header":"Results And Discussion","content":"\u003cp style=\"text-align: left;\"\u003eCRU and GLDAS precipitation data were received for the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000\u0026ndash;2020 and TRMM precipitation for the mentioned stations in the period 2000\u0026ndash;2019. A radar diagram of the annual precipitation at the Saqqez, Bijar, Qorveh and Sanandaj stations is presented (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). Additionally, descriptive parametric and nonparametric precipitation statistics of CRU, GLDAS and TRMM for the stations mentioned in Tables \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan class=\"InternalRef\"\u003e8\u003c/span\u003e are presented.\u003c/p\u003e\n\u003cp style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab6\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 6\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003eParametric and nonparametric descriptive statistics of GLDAS, CRU, TRMM and Saqqez stations\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" style=\"width: 2.7645%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eVariable\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 0.8592%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.9052%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMean\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.98%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eStDev\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.7271%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCoefVar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.2128%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMinimum\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQ1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.503%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMedian\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQ3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 4.072%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMaximum\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.4743%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eRange\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.0633%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSkewness\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.8018%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eKurtosis\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7645%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSaqqez\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.8592%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9052%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e430.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.98%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e96.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7271%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e22.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2128%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e275.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e363.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.503%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e408.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e505.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.072%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e647.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.4743%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e372.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.0633%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.8018%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7645%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.8592%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9052%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e489.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.98%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e80.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7271%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e16.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2128%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e343.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e428.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.503%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e493.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e580.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.072%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e600.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.4743%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e256.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.0633%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.8018%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-1.13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7645%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.8592%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9052%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e388.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.98%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e75.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7271%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e19.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2128%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e250.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e336.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.503%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e391.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e431.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.072%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e571.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.4743%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e321.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.0633%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.8018%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7645%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.8592%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9052%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e447.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.98%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e109.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7271%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e24.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2128%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e300.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e361.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.503%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e413.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7558%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e554.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.072%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e644.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.4743%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e343.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.0633%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.8018%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"13\" style=\"width: 33.5097%;\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eN: Total data, StDev: Standard deviation, Coef Var: Coefficient of variation, Q1: First quartile, Q3: Third quartile\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab7\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 7\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003eParametric and nonparametric descriptive statistics of the GLDAS, CRU, TRMM and Bijar stations\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eVariable\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 0.8608%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.9088%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMean\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.9837%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eStDev\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.7322%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCoefVar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.2188%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMinimum\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQ1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.5076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMedian\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQ3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.331%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMaximum\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.0959%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eRange\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.0153%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSkewness\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eKurtosis\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eBijar\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.8608%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9088%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e331.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9837%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e60.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7322%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e18.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2188%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e230.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e291.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.5076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e331.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e381.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.331%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e458.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.0959%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e227.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0153%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.8608%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9088%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e456.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9837%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e72.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7322%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e15.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2188%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e346.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e389.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.5076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e450.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e524.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.331%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e622.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.0959%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e275.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0153%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.8608%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9088%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e333.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9837%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e60.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7322%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e18.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2188%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e214.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e295.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.5076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e323.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e373.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.331%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e452.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.0959%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e237.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0153%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.8608%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9088%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e297.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9837%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e73.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7322%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e24.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2188%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e196.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e240.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.5076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e272.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.7591%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e378.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.331%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e427.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.0959%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e231.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0153%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.7696%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"13\" style=\"width: 33.5725%;\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eN: Total data, StDev: Standard deviation, Coef Var: Coefficient of variation, Q1: First quartile, Q3: Third quartile\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003ctable border=\"1\" id=\"Tab8\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 8\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003eParametric and nonparametric descriptive statistics of the GLDAS, CRU, TRMM and Qorveh stations\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eVariable\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMean\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eStDev\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCoefVar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMinimum\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQ1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMedian\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQ3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMaximum\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eRange\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSkewness\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eKurtosis\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQorveh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e322.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e68.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e212.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e268.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e310.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e370.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e478.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e265.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e447.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e74.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e16.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e346.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e384.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e432.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e502.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e622.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e275.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e347.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e66.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e19.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e230.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e309.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e343.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e380.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e497.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e267.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e338.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e84.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e25.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e219.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e261.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e322.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e417.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e500.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e280.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"13\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eN: Total data, StDev: Standard deviation, Coef Var: Coefficient of variation, Q1: First quartile, Q3: Third quartile\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003ctable border=\"1\" id=\"Tab9\" style=\"margin-left: calc(0%); width: 100%;\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 9\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003eParametric and nonparametric descriptive statistics of the GLDAS, CRU, TRMM and Sanandaj stations\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" style=\"width: 2.7212%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eVariable\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 0.9319%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.0502%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMean\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.1248%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eStDev\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.9076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCoefVar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.4667%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMinimum\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQ1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.6839%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMedian\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQ3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.5785%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMaximum\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 2.2739%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eRange\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.3176%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSkewness\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.2058%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eKurtosis\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7212%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSanandaj\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.9319%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.0502%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e356.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.1248%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e67.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.9076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e18.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.4667%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e244.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e308.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.6839%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e351.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e398.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.5785%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e547.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.2739%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e303.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.3176%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e1.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2058%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e2.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7212%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.9319%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.0502%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e451.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.1248%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e78.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.9076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e17.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.4667%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e344.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e387.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.6839%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e433.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e529.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.5785%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e622.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.2739%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e277.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.3176%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2058%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7212%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.9319%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.0502%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e383.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.1248%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e76.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.9076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e19.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.4667%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e251.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e340.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.6839%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e375.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e417.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.5785%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e583.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.2739%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e331.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.3176%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2058%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.7212%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 0.9319%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.0502%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e391.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.1248%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e104.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.9076%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e26.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.4667%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e257.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e291.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.6839%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e361.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 1.9011%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e496.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.5785%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e584.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 2.2739%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e327.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.3176%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.2058%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"13\" style=\"width: 33.4369%;\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eN: Total data, StDev: Standard deviation, Coef Var: Coefficient of variation, Q1: First quartile, Q3: Third quartile\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp style=\"text-align: left;\"\u003eThe GLDAS model has the highest average rainfall at Saqqez station, and TRMM has the lowest average rainfall at Bijar station. TRMM has the highest standard deviation at Saqqez station, and CRU has the lowest standard deviation at Bijar station.\u003c/p\u003e\n\u003ch2 style=\"text-align: left;\"\u003eSpi Index\u003c/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eUsing GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000\u0026ndash;2020 and TRMM in the period 2000\u0026ndash;2019, the SPI index in different monthly periods (1, 3, 6, 9, 12, 18, 24, 48) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e and Table \u003cspan class=\"InternalRef\"\u003e10\u003c/span\u003e. The annual amount of SPI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003ctable border=\"1\" id=\"Tab10\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSanandaj\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQorveh\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eBijar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"5\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSaqqez\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 10\u0026nbsp;Pearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the SPI index\u003c/div\u003e\n \u003c/caption\u003e\n \u003ctbody style=\"text-align: left;\"\u003e\u003c/tbody\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSPI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e1 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e3 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n 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style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e6 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n 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left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n 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left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.084\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e18 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n 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left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.939\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.857\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e24 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e48 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"18\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eP: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003eThe lowest RMSE index was for TRMM at Saqqez station and the 3-month period, and the highest RMSE was for GLDAS at Bijar station and the 48-month period. The highest ME was for TRMM at Bijar station and the 48-month period. The lowest ME was for GLDAS at Saqqez station and the 48-month period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at Bijar station for the 24-month period. The results show that in 2019, the SPI index in northwestern Kurdistan Province was low, and the spatial distribution of the SPM index of the TRMM satellite was more in line with the map of synoptic stations.\u0026nbsp;\n\u003c/div\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ch2 style=\"text-align: left;\"\u003eCzi Index\u003c/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eUsing GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000\u0026ndash;2020 and TRMM in the period 2000\u0026ndash;2019, the CZI index in different monthly periods (1, 3, 6, 9, 12, 18, 24, 48) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e and Table \u003cspan class=\"InternalRef\"\u003e11\u003c/span\u003e. The annual CZI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e).\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 11\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003ePearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the CZI index\u003c/p\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tabb\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSanandaj\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQorveh\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eBijar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"5\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSaqqez\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCZI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e1 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n 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align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e3 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e6 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e9 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e12 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n 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left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n 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\u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e24 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e48 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.074\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"18\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eP: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp style=\"text-align: left;\"\u003eThe lowest RMSE index was for TRMM at Saqqez station and the 3-month period, and the highest RMSE was for GLDAS at Bijar station and the 48-month period. The highest ME was for TRMM at Qorveh station and the 24-month period. The lowest ME was for CRU at Saqqez station and the 48-month period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the 24-month period and GLDAS at the Bijar station for the 48-month period. The results show that in 2019, the CZI index in the northwest of the province and southeast of Kurdistan was low, and the spatial distribution of the CZI index of the TRMM satellite was more in line with the map of synoptic stations.\u0026nbsp;\u003c/p\u003e\n\u003ch2 style=\"text-align: left;\"\u003eMczi Index\u003c/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eUsing GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000\u0026ndash;2020 and TRMM in the period 2000\u0026ndash;2019, the MCZI index in different monthly periods (1, 3, 6, 9, 12, 18, 24, 48) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. \u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003e and Table \u003cspan class=\"InternalRef\"\u003e12\u003c/span\u003e.\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab12\" style=\"margin-left: calc(0%); width: 100%;\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 12\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003ePearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the MCZI index\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"4\" style=\"width: 16.539%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSanandaj\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQorveh\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\" style=\"width: 29.5559%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003eBijar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"5\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSaqqez\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMCZI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e1 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp 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7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n 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left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e3 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n 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align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e6 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e9 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n 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left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n 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style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n 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Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n 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style=\"text-align: left;\"\u003e0.803\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.466\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e18 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.32\u003c/p\u003e\n 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left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e24 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e48 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 2.1439%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 7.657%;\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.844\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"18\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eP: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThe lowest RMSE index was for CRU at Sanandaj station and the 48-month period, and the highest RMSE was for TRMM at Bijar station and the 48-month period. The highest ME was for CRU at Qorveh station and the 18-month period. The lowest ME was for GLDAS at Sanandaj station and the 48-month period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the 24- and 18-month periods and GLDAS at the Bijar station for the 48-month period.\u003c/p\u003e\n\u003ch2 style=\"text-align: left;\"\u003eZsi Index\u003c/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eUsing GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000\u0026ndash;2020 and TRMM in the period 2000\u0026ndash;2019, the ZSI index in different monthly periods (1, 3, 6, 9, 12, 18, 24, 48) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. \u003cspan class=\"InternalRef\"\u003e9\u003c/span\u003e and Table \u003cspan class=\"InternalRef\"\u003e13\u003c/span\u003e. The annual ZSI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. \u003cspan class=\"InternalRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 13\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003ePearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for the ZSI index\u003c/p\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tabc\" style=\"margin-left: calc(3%); width: 97%;\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSanandaj\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQorveh\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eBijar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"5\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSaqqez\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eZSI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e1 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e3 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n 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left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e9 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e12 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e18 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n 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left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n 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left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.282\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003e48 Month\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.157\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.062\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e-0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"18\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eP: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp style=\"text-align: left;\"\u003eThe lowest RMSE index was for TRMM at Saqqez station and the 1-month period, and the highest RMSE was for TRMM at Bijar station and the 48-month period. The highest ME was for TRMM at Sanandaj station and the 1-month period. The lowest ME was for CRU at Sanandaj station and the 24-month period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the 24-month period and GLDAS at the Bijar station for the 48-month period. The results show that in 2019, the ZSI index in the northwest of the province and southeast of Kurdistan was low, and the spatial distribution of the ZSI index of the TRMM satellite was more in line with synoptic stations.\u003c/p\u003e\n\u003ch2 style=\"text-align: left;\"\u003eDi Index\u003c/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eUsing GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000\u0026ndash;2020 and TRMM in the period 2000\u0026ndash;2019, the DI index in different periods (monthly, seasonally, yearly) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. \u003cspan class=\"InternalRef\"\u003e11\u003c/span\u003e and Table \u003cspan class=\"InternalRef\"\u003e14\u003c/span\u003e. The annual amount of DI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. \u003cspan class=\"InternalRef\"\u003e12\u003c/span\u003e).\u003c/p\u003e\n\u003cdiv align=\"left\" class=\"colspec\" style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n\u003ctable border=\"1\" id=\"Tab14\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 14\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003ePearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for DI index\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSanandaj\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQorveh\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eBijar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"5\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSaqqez\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eDI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMonthly\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSeasonaly\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.036\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.167\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.114\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003eYearly\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.017\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"18\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eP: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp style=\"text-align: left;\"\u003eThe lowest RMSE index was for TRMM at Saqqez station and during the monthly period, and the highest RMSE was for TRMM at Bijar station and during the yearly period. The highest ME was for CRU at Sanandaj, Bijar and Qorveh stations and GLDAS at Qorveh station for the monthly period. The lowest ME was for TRMM at Saqqez station and monthly and yearly periods and CRU at Saqqez station for yearly periods. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the yearly period. The results show that in 2019, the DI index in the northwest of the province and southeast of Kurdistan was low, and the spatial distribution of the DI index of the TRMM satellite and CRU base was more in line with synoptic stations.\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ch2 style=\"text-align: left;\"\u003ePni Index\u003c/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eUsing GLDAS and CRU precipitation and precipitation of the Saqqez, Bijar, Qorveh and Sanandaj stations in the period 2000\u0026ndash;2020 and TRMM in the period 2000\u0026ndash;2019, the PNI index in different periods (monthly, seasonally, yearly) was calculated. The results of statistical evaluation, GLDAS and CRU with Saqqez, Bijar, Qorveh and Sanandaj stations and TRMM with the mentioned stations are presented in Fig. \u003cspan class=\"InternalRef\"\u003e13\u003c/span\u003e and Table 15. The annual amount of PNI in 2019 was calculated with DIP software, and then, in ArcMap 10.2 software, interpolation was performed by the IDW method. Auxiliary stations were used for interpolation (Fig. \u003cspan class=\"InternalRef\"\u003e12\u003c/span\u003e).\u003c/p\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThe lowest RMSE index was for GLDAS at Sanandaj station and yearly period, and the highest RMSE was for CRU at Sanandaj station and monthly period. The highest ME was for GLDAS at Qorveh station for the monthly period. The lowest ME was for GLDAS at Sanandaj station and yearly period. The results showed that there was a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there was no significant relationship for TRMM at the Bijar station for the yearly period. The results show that in 2019, the PN index in the northwest of the province and southeast of Kurdistan was low, and the spatial distribution of the TRNM satellite PN index and GLDAS model was more in line with synoptic stations.\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab15\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\" style=\"text-align: left;\"\u003eTable 14\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp style=\"text-align: left;\"\u003ePearson and Spearman correlation coefficient CRU, TRMM, GLDAS with Saqqez, Qorveh, Bijar and Sanandaj stations for PNI index\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSanandaj\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eQorveh\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp style=\"text-align: left;\"\u003eBijar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"5\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSaqqez\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003ePNI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003eMonthly\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003eSeasonaly\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.214\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eTRMM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp style=\"text-align: left;\"\u003eYearly\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eCRU\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.062\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp style=\"text-align: left;\"\u003eGLDAS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"18\"\u003e\n \u003cdiv style=\"text-align: left;\"\u003eP: Pearson correlation coefficient, S: Spearman correlation coefficient, p: p values\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp style=\"text-align: left;\"\u003eNiazi et al. (\u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e) used soil moisture output from GLDAS to prepare a spatial distribution map of drought during the statistical period of 2004\u0026thinsp;\u0026minus;\u0026thinsp;2001 in Central Iran. Their results showed that the drought intensity estimated by the GLDAS-SMDI index had a significant correlation with the SPI drought intensity map at the 95% confidence level.\u003c/p\u003e\n\u003cp style=\"text-align: left;\"\u003eWei et al (\u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e) the constrained optimization method was used to establish weights for the MODIS-derived Vegetation Conditional Index (VCI), TRMM-derived Precipitation Condition Index (PCI), and GLDAS-derived Soil Moisture Condition Index (SMCI) and calculate the Optimized Meteorological Drought Index (OMDI) based on the Standard Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and weather stations. Their results indicated that the OMDI was suitable to monitor meteorological drought."},{"header":"Conclusion","content":"\u003cp\u003eField measurements are very accurate for generating drought indices, but the preparation of these indices in large areas due to insufficient density of ground measuring stations, high cost of construction and maintenance of these stations and poor data quality of ground measuring networks reduce the ability to show the spatial pattern. Therefore, it is necessary to identify data sources that can address these shortcomings and use them after evaluation. Spatial observations with the ability to receive information with the power of spatial and temporal resolution over a large area of the Earth make it possible to monitor droughts using remote sensing technology (Niazi et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Kurdistan Province has the second largest area under rainfed wheat cultivation in Iran. Drought and rainfall have a great impact on the rainfed crops of this province. In addition, Kurdistan is a mountainous region, and the density of rain gauge stations in this region is low. Therefore, in this study, from the output of TRMM, CRU and GLDAS, drought indices of SPI, CZI, ZSI, MCZI in different monthly periods (1, 3, 6, 9, 12, 18, 24 and 48), DI and PNI in different periods monthly, seasonal and annual in Kurdistan Province (Saqqez, Qorveh, Bijar, Sanandaj stations) were calculated and evaluated with synoptic station data.The results of the correlation coefficient for the Saqqez and Sanandaj stations in periods of 1 to 9 months for the SPI, CZI, ZSI, MCZI indices were better than those of the Bijar and Qorveh stations. In assessing the SPI and CZI drought index, the lowest RMSE was for TRMM at Saqqez station and for the 3-month period. In the evaluation of the MCZI index, the lowest RMSE was for CRU at Sanandaj station and the 48-month period. In evaluating the ZSI index, the lowest RMSE was for TRMM at the Saqqez station and at the 1-month period. In evaluating DI and PN indices, the lowest RMSE indices were for TRMM at Saqqez station and seasonal period, and GLDAS at Sanandaj station and annual period, respectively. Therefore, it can be concluded that the precipitation of the mentioned bases and models can be used to quickly and cheaply estimate the intensity of rainfall-based drought.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eConflict of Interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests\u003cspan dir=\"RTL\"\u003e.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that no funds, grants, or other support were received during the preparation of this manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data that support the findings of this study are available from the first author, upon reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of competing interest:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCRediT authorship contribution statement:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMojgan Ahmadi:\u003c/strong\u003e Conceptualization, Methodology, Software, Writing\u0026ndash;original draft.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHadi Ramezani Etedali, Abbas Kaviani and Alireza Tavakkoli:\u003c/strong\u003e Visualization, Data curation, Writing \u0026ndash; review \u0026amp; editing.\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eSamadianfard S, Asadi E (2017) Prediction of SPI drought index using support vector and multiple linear regressions. 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J Environ Manage 292(112733):0301\u0026ndash;4797. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jenvman.2021.112733\u003c/span\u003e\u003cspan address=\"10.1016/j.jenvman.2021.112733\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Drought indices, CRU, TRMM, GLDAS.","lastPublishedDoi":"10.21203/rs.3.rs-1702854/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1702854/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDrought indices are a suitable tool for management measures and dealing with the phenomenon of drought and are widely used worldwide. In this study, the drought indices of the SPI, CZI, ZSI, and MCZI in different monthly periods (1, 3, 6, 9, 12, 18, 24 and 48) and the DI and PNI in different monthly, seasonal and annual periods in Kurdistan Province (stations Saqqez, Qorveh, Bijar, Sanandaj) were evaluated. GLDAS and CRU precipitation data for 2000\u0026ndash;2000 and TRMM precipitation for 2000\u0026ndash;2000 were received, and the drought indices were calculated. RMSE, ME and Pearson and Spearman correlation coefficients were used for evaluation. The results of the SPI index showed that there is a significant relationship between TRMM, CRU and GLDAS at the Saqqez, Qorveh and Sanandaj stations (at the 5% level), and there is no significant relationship for TRMM at Bijar station for the 24-month period. The correlation coefficient results for the Saqqez and Sanandaj stations in periods of 1 to 9 months for the SPI, CZI, ZSI, and MCZI indices were better than those of the Bijar and Qorveh stations. In assessing the SPI and CZI drought indices, the highest RMSE was for GLDAS at Bijar station and for the 48-month period. In general, the results showed that the drought indices of the SPI, CZI, ZSI, MCZI, DI and PNI obtained from the TRMM satellite, CRU dataset and GLDAS model have a good correlation with the drought indices of synoptic stations.\u003c/p\u003e","manuscriptTitle":"Evaluation of meteorological drought indices using meteorological datasets","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2022-07-08 18:33:16","doi":"10.21203/rs.3.rs-1702854/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"08542300-4011-4e52-8348-52585c0f4885","owner":[],"postedDate":"July 8th, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2022-07-19T14:01:39+00:00","versionOfRecord":[],"versionCreatedAt":"2022-07-08 18:33:16","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-1702854","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-1702854","identity":"rs-1702854","version":["v1"]},"buildId":"rHA-KDH7Qsr4HCuvH75dn","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}