摘要
以2018-2020年2038个中国国家级地面气象站观测资料为标准,对最新一代国际先进的ERA5-Land陆面再分析小时气温数据在中国大陆地区的精度和适应性进行评估。结果表明:(1)评估时段内,ERA5-Land气温能较好反映中国大陆区域的气温变化特征,但相对气象台站观测值有一定的偏低。(2)日变化评估表明,06-09时(世界时)误差较其余时刻的略大。(3)逐月和季节评估表明,从1月到7月误差逐渐减小,7月开始到次年1月,误差逐渐增大,冬季误差大于夏季的。(4)不同地形评估表明,随海拔高度和坡度的增加,ERA5-Land和台站观测值的相关性呈现下降、偏差呈逐步增大趋势。总之,ERA5-Land气温数据在中国大陆有较好的可用性,可为气候变化、科学研究和可持续发展提供重要数据支撑。
Based on the observations collected from 2038 national weather stations in Chinese Mainland from 2018 to 2020,the accuracy and adaptability of the latest generation of ERA5-Land reanalysis data of hourly temperature dataset in Chinese mainland are evaluated.The results are as follows:(1)During the assessment period,the ERA5-Land temperature can better reflect the characteristics of the temperature change in Chinese mainland,but it is somewhat lower than that observed by meteorological stations.(2)The evaluation of daily temperature variation shows that the temperature error from 06:00 to 09:00(UTC)is slightly larger than that at other times.(3)The evaluation of monthly and seasonal temperatures shows that the temperature error decreases gradually from January to July and increases gradually from July to the next January,with greater errors in winter than in summer.(4)The assessment of different topographies shows that,with the rises in altitude and slope,the correlation between ERA5-Land temperature and station-observed temperature has a decreasing trend while their error is gradually increasing.Overall,ERA5-Land temperature datasets are of good applicability in Chinese mainland,and can provide data support for climate change,scientific research and sustainable development.
作者
黄晓龙
韩帅
吴薇
王丽伟
李施颖
蒋雨荷
Huang Xiaolong;Han Shuai;Wu Wei;Wang Liwei;Li Shiying;Jiang Yuhe(Sichuan Key Laboratory of Heavy Rain,Drought and Flood Disasters in Plateau and Basin,Chengdu 610072,China;Sichuan Meteorological Observation and Data Center,Chengdu 610072,China;Southwest Sichuan(Ya′an)Rainstorm Laboratory,Ya′an 625099,China;National Meteorological Information Center,Beijing 100081,China;Jilin Meteorological Information Center,Changchun 130062,China)
出处
《气象与环境科学》
2025年第4期8-18,共11页
Meteorological and Environmental Sciences
基金
中国气象局创新发展专项(CXFZ2023J067)
高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目(SCQXKJZD2021)
川西南(雅安)暴雨实验室科技发展基金项目(CXNBYSYSYWZD202406)。
