Spatiotemporal Variability of Cold Events Associated with Climate Change in Zhejiang Province

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Using daily minimum temperature records from 66 meteorological stations in Zhejiang Province spanning 1971–2022, this study defined “cold days” as minimum temperatures ≤ 4°C and characterized “cold events” and “extreme cold events” accordingly, then analyzed their spatiotemporal variation in the context of climate change. It found that the number of cold days significantly decreased over time, especially in winter, with winter accounting for nearly 70% of annual cold events. Cold-event frequency declined mainly due to reductions in spring and autumn, while winter cold-event frequency showed no significant change but a slight upward trend; extreme cold-event spatial patterns showed low-value zones in parts of the southwestern and southeastern coasts and high-value zones in central and northern coastal areas. The authors’ caveat is that this work is a preprint and has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract Based on the daily minimum temperature data from 66 meteorological stations in Zhejiang Province from1971 to 2022, the absolute threshold for "cold days" was established as a daily minimum temperature of ≤ 4 ℃, and "cold events" and "extreme cold events" were defined accordingly. The spatiotemporal variation characteristics of cold events and extreme cold events in Zhejiang Province were analyzed under the background of climate change. The results indicated that the number of cold days in Zhejiang Province exhibited a significant decreasing trend from 1971 to 2022, with the most pronounced decline occurring in winter. Cold events in Zhejiang primarily occur during winter, accounting for nearly 70% of the annual total. The frequency of cold events throughout the year demonstrates a downward trend, primarily attributed to the decrease in the frequency of cold events in spring and autumn. The frequency of cold events in winter does not exhibit significant changes and reflects a slight upward trend. The low-value zones of extreme cold events in Zhejiang are located in the southwestern and southeastern coastal areas, while the high-value zones are predominantly found in the coastal regions of central and northern Zhejiang. Extreme cold events predominantly occur in winter (December, January, and February), and the likelihood of such events occurring in March and November is approximately once every century. The primary mode of effective cold accumulated temperature empirical orthogonal function (EOF) analysis for cold events is the province-wide consistent type, with a variance contribution of 89.4%. The second, third, and fourth modes are identified as the north-south inversion type, the near-triode type, and the northeast-southwest inversion type, respectively.
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Spatiotemporal Variability of Cold Events Associated with Climate Change in Zhejiang Province | 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 Spatiotemporal Variability of Cold Events Associated with Climate Change in Zhejiang Province Jingjing Xiao, Hao Ma, Fenfen Guo, Shangqian Ma, Yuhui Zhang, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5353520/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 Based on the daily minimum temperature data from 66 meteorological stations in Zhejiang Province from1971 to 2022, the absolute threshold for "cold days" was established as a daily minimum temperature of ≤ 4 ℃, and "cold events" and "extreme cold events" were defined accordingly. The spatiotemporal variation characteristics of cold events and extreme cold events in Zhejiang Province were analyzed under the background of climate change. The results indicated that the number of cold days in Zhejiang Province exhibited a significant decreasing trend from 1971 to 2022, with the most pronounced decline occurring in winter. Cold events in Zhejiang primarily occur during winter, accounting for nearly 70% of the annual total. The frequency of cold events throughout the year demonstrates a downward trend, primarily attributed to the decrease in the frequency of cold events in spring and autumn. The frequency of cold events in winter does not exhibit significant changes and reflects a slight upward trend. The low-value zones of extreme cold events in Zhejiang are located in the southwestern and southeastern coastal areas, while the high-value zones are predominantly found in the coastal regions of central and northern Zhejiang. Extreme cold events predominantly occur in winter (December, January, and February), and the likelihood of such events occurring in March and November is approximately once every century. The primary mode of effective cold accumulated temperature empirical orthogonal function (EOF) analysis for cold events is the province-wide consistent type, with a variance contribution of 89.4%. The second, third, and fourth modes are identified as the north-south inversion type, the near-triode type, and the northeast-southwest inversion type, respectively. Earth and environmental sciences/Climate sciences/Climate change Earth and environmental sciences/Climate sciences Earth and environmental sciences/Ecology cold days cold events extreme cold events frequency of occurrence region of distribution Full Text Additional Declarations No competing interests reported. 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. 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