大气科学学报2025，Vol.48Issue(2)：207-216,10.DOI:10.13878/j.cnki.dqkxxb.20240607001
近60年中国群发性极端温度事件演变特征及数据集的建立
Establishment of dataset for clustered extreme temperature events in China and their variation over the past 60 years
摘要
Abstract
In the context of global warming,extreme weather and climate events have become more frequent,particularly since the 21st century,exhibiting significant clustering,persistence,complexity and extremity.Under the influence of the same weather system,extreme temperature events of the same type often display spatiotempo-ral clustering,manifested by spatial correlation and temporal persistence.Previous studies based on single-stations analyses have been unable to effectively capture the evolution and movement of weather systems,thus limiting the ability to assess the clustering characteristics of extreme temperature events.In our previous works,we pro-posed a simplified method for identifying clustered extreme weather and climate events,which has been demon-strated to be effective.Using daily observed temperature records from 1961 to 2020,this study established a data-set of five types of clustered extreme temperature events in China by incorporating spatiotemporal correlations.These include hot weather,scorching weather,extreme high temperature,extreme low temperature,and severe cooling events.The results indicate that hot and scorching weather events primarily occur in summer,with high-frequency located in Xinjiang region and the Changjiang-Huaihe River Basin.Notably,seven of the ten most in-tense summer clustered scorching weather events since 1961 occurred after 2000,showing significantly prolonged duration and expanded affected areas.Clustered severe cooling events predominantly occur in seasons other than summer,with high frequency in Nei Monggol and the southern part of Northeast China.While the duration,af-fected area,and intensity of severe cooling events have remained relatively stable,their frequency has exhibited a slight decline.Clustered extreme high and extreme low temperature events occur throughout the year across vari-ous regions.In response to global warming,extreme high-temperature events show an increasing trend,whereas extreme low-temperature events demonstrate a decline in multiple indices.This dataset developed in this study,spanning from 1961 to 2020,provides a comprehensive foundation for understanding the characteristics and long-term trends of clustered extreme temperature events.Further supplement and update will incorporate the latest ob-servational data to refine and expand the dataset.In addition,methodology employed can be extended to identify other extreme events,such as extreme precipitation events,compound extreme events,and high-impact weather and climate events.The establishment of this dataset lays a crucial foundation for in-depth study on the mecha-nisms,impacts,and predictability of extreme temperature events in a changing climate.关键词
中国/群发性极端温度事件/演变特征/数据集建立Key words
China/clustered extreme temperature events/evolution characteristics/dataset establishment引用本文复制引用
况雪源,张耀存,黄丹青,薛道凯,成柯蒙..近60年中国群发性极端温度事件演变特征及数据集的建立[J].大气科学学报,2025,48(2):207-216,10.基金项目
国家重点研发计划项目(2022YFF0801601) （2022YFF0801601）
