Precipitation forecasting based on deep learning strategy using empirical wavelet transform, Markov chain-incorporated long-short term memory network

Precipitation forecasting based on deep learning strategy using empirical wavelet transform, Markov chain-incorporated long-short term memory network | 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 Article Precipitation forecasting based on deep learning strategy using empirical wavelet transform, Markov chain-incorporated long-short term memory network Jie YANG, Rui Tang, Kun Lan, Han Wang, Lin Zhang, Simon Fong This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1517899/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 Accurate and stable precipitation forecasting can better reflect the changing trend of climate and also provide timely and efficient environmental information for a management decision, as well as prevent the occurrence of floods or droughts. This study proposes a hybrid model for precipitation forecasting and demonstrates its efficiency. Firstly, the empirical wavelet transform (EWT) is introduced to decompose and pre-analysis hidden characteristics of the precipitation data. Secondly, The Long Short Term Memory (LSTM) network is improved in combination with the Markov Chain (MC) algorithm, thus providing more precise forecasting results for rainless and rainy months and mitigating any extreme and non-physical precipitation generation. Thirdly, the multi-step prediction is explored to improve the reliability and flexibility of rainfall. Monthly precipitation data is used as illustrative cases to verify the performance of the proposed model. Parallel experiments using non-decomposing models, other traditional machine learning approaches optimized by the mind evolution algorithm have been designed and conducted to compare with the proposed model. Results indicated that the proposed hybrid model can capture the nonlinear characteristics of the precipitation time series, thus provides more precise forecasting results. precipitation forecasting deep learning empirical wavelet transform Markov chain Full Text Additional Declarations There is NO Competing Interest. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-1517899","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":97917257,"identity":"f02a23b5-319c-4f8a-82b9-e930396d15b0","order_by":0,"name":"Jie 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