基于ETCCDI指数的1991-2021年辽宁省极端降水和气温特征分析OACSTPCD
Analysis of extreme precipitation and temperature characteristics in Liaoning province from 1991 to 2021 based on ETCCDI indices
选用1991-2021 年辽宁省60 站气温和降水量逐日资料,计算国际气候变化监测和指标专家组定义的 26 个极端气候指数,分析近30a辽宁省极端气候事件变化以及2021 年极端降水和气温特征.结果表明:辽宁省单次极端冷(暖)事件平均强度增强,但发生频次减少,持续性极端事件发生频次减少;低温日数减少,生长期长度增长,热夜、夏日指数增大;极端降水量年代际变化为显著的先减小再增大.2021 年辽宁省极端冷事件和暖事件均较常年偏冷,其中,极端冷事件为全省一致偏冷,暖事件为辽宁西部偏冷、东部偏暖;该年的生长期较往年偏长;总降水量和极端降水事件均偏多,持续湿润日数偏长,干旱日数偏短.
Daily temperature and precipitation data from 60 stations in Liaoning province from 1991 to 2021 were used to calculate 26 extreme climate indices defined by the Expert Team on Climate Change Detection and Indices(ETCCDI).The changes in extreme climate events over the past 30 years and the characteristics of extreme pre-cipitation and temperature in 2021 in Liaoning province were analyzed.The results showed that the average intensi-ty of single extreme cold(warm)events in Liaoning province has increased,but their frequency has decreased,and the frequency of persistent extreme events has also decreased.The number of low-temperature days has de-creased.The length of the growing season has increased,and the indices of warm nights and summer days have in-creased.Extreme precipitation amounts showed significant decadal variations from decrease to increase.In 2021,both extreme cold and warm events in Liaoning province were colder than normal,with extreme cold events being consistently colder across the province,while warm events were colder in western Liaoning province and warmer in the east.The growing season in 2021 was longer than in previous years.Total precipitation and extreme precipitati-on events were both above average,with prolonged wet periods and shortened dry spells.
张婉莹;孙秀博;林毅;宋健;李冰;张萌萌;李嘉宁;吕家欣
辽宁省气象服务中心,辽宁沈阳 110166辽宁省气象局,辽宁沈阳 110001本溪市气象局,辽宁本溪 117000
大气科学
气候变化冷事件暖事件
Climate changeCold eventsWarm events
《气象与环境学报》 2024 (004)
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辽宁省气象局开放基金项目"精细化表征夏季电力负荷的气象数据产品研发(202304)"、辽宁省气象局科研项目"基于ETCCDI指数的辽宁地区极端高温事件与东北亚环流关系研究"(202205)、辽宁省气象服务中心能源气象与安全生产保障研究团队项目和辽宁省气象局金融保险气象灾害风险减量关键技术青年创新团队项目共同资助.
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