中国极端天气气候研究——"地球系统与全球变化"重点专项项目2025年度最新进展OA
Research on weather and climate extremes over China:2025 progress of the National Key R&D Program of China for Earth System and Global Change
介绍了"地球系统与全球变化"重点专项项目"中国极端天气气候事件的形成机理及其预测和归因"2025 年度的主要成果.1)发展了群发性极端温度事件的检测识别方法并构建了数据集,揭示了群发性极端温度事件、暖季极端高温-降水复合事件的变化特征及北美-东亚冬季极端低温的空间复合特征,并开展了极端温度变化的归因研究.2)阐明了东亚冬季气温反相事件、2022 年夏季长江流域极端高温等典型极端事件的环流特征及动力学机理.3)提出了MJO(Madden-Julian Oscillation)遥相关的动力学新机制,发现夏季 MJO在印度洋停留时间 3 倍增长并加剧了极端气候事件风险;揭示了印度洋快速增暖、春季重新发展增强的 La Niña对中国极端气候的影响,探讨了不同海盆海温异常对夏季高温干旱复合事件的影响,发现华北秋季群发性极端降水增强与关键区北极海冰减少存在密切联系.4)探讨了陆面蒸散发与干旱变化机理、高温干旱复合极端事件的形成机理、积雪与土壤湿度的气候反馈效应以及陆气耦合对极端气候和大尺度环流的影响.5)建立了干旱、极端高温、暴雨-热浪复合极端事件、极端低温次季节-年际预测的物理统计预测模型,发展了极端温度次季节反转的预测方法,在一定程度上改善了中国极端天气气候事件的预测水平.
This paper reviews the major research advances achieved in 2025 on weather and climate extremes o-ver China under the National Key R&D Program of China for Earth System and Global Change.These advances span five key thematic areas.(1)Novel detection and identification methods for clustered extreme temperature e-vents were developed,and a comprehensive dataset covering the past 60 years was established for China.The fun-damental characteristics of clustered extreme temperature events,warm-season compound extreme high-tempera-ture-precipitation events,and concurrent winter cold extremes between North America and East Asia were system-atically documented.Attribution analyses were conducted to quantify the respective roles of anthropogenic climate change and historical land-cover change in driving extreme temperature variability.(2)The circulation character-istics and dynamical and thermodynamical mechanisms underlying several representative extreme climate events were investigated,including summer extreme heat events over the southwestern Mongolian Plateau,large-scale winter temperature reversal events over East Asia,and the record-breaking extreme heat over the Yangtze River basin in the summer of 2022.(3)A new dynamical framework was proposed to improve understanding of Mad-den-Julian Oscillation(MJO)teleconnections.Results show that the tripling of MJO residence time over the rap-idly warming Indian Ocean during the summer monsoon enhances extreme climate events across Indian Ocean rim countries.The impacts of rapid Indian Ocean warming and re-intensified spring La Niña on extreme climate anom-alies in China were also examined.In addition,the roles of sea surface temperature anomalies in multiple ocean basins in modulating summer compound heat-drought events were assessed.A strong linkage was identified be-tween intensified clustered extreme autumn precipitation over North China and Arctic sea ice loss in key regions.(4)Mechanisms governing evapotranspiration variability,drought evolution,and the formation of compound high-temperature-drought events were explored.The subseasonal impacts of snow cover on atmospheric processes and the influence of soil moisture on extreme heat events were quantified.Results highlight the critical role of land-atmosphere coupling and land surface feedbacks in the development of compound drought-heat extremes,as well as in modulating ENSO-related impacts on early-summer large-scale atmospheric circulation over North A-merica.(5)New statistical models were developed for seasonal prediction of spring drought over Northeast Chi-na,and deep learning-based subseasonal prediction models were constructed for extreme high-temperature events over the Yangtze River.The role of Arabian Peninsula dust storms in May 2022 in preconditioning the record-breaking summer heat over China in 2022 was examined,along with the influence of North Atlantic SST anoma-lies on concurrent southern rainstorm and northern heatwave extremes over East China.It was further demonstrated that subseasonal reversals of Northwest Pacific SST anomalies strongly affect the dipole pattern of cold extremes in China,contributing to improved predictability of extreme low-temperature events.Corresponding prediction methods for subseasonal temperature reversals over North China were also established.Overall,these studies have substantially advanced the understanding of mechanisms and predictability of extreme weather and climate events in China and have contributed to measurable improvements in forecasting capability.
陈海山;马红云;祁莉;施宁;孙善磊;张杰;韩婷婷;李文铠;桑英涵;张耀存;张文君;尹志聪;陈国森;华文剑;黄丹青;况雪源;刘芸芸
南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044南京信息工程大学大气科学学院,江苏 南京 210044南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044南京信息工程大学大气科学学院,江苏 南京 210044南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044南京信息工程大学大气科学学院,江苏 南京 210044南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044南京信息工程大学大气科学学院,江苏 南京 210044南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044南京信息工程大学大气科学学院,江苏 南京 210044南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044南京信息工程大学大气科学学院,江苏 南京 210044南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044南京信息工程大学大气科学学院,江苏 南京 210044南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044南京信息工程大学大气科学学院,江苏 南京 210044中国气象科学研究院灾害天气科学与技术全国重点实验室/青藏高原气象研究所,北京 100081
极端天气气候事件海气相互作用陆面过程机理预测
extreme weather and climate eventsair-sea interactionland surface processmechanismprediction
《大气科学学报》 2026 (1)
20-42,23
国家重点研发计划项目(2022YFF0801600)
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