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作 者:张德杰 师春香[2] 张涛[2] 沈润平 王智慧 ZHANG Dejie;SHI Chunxiang;ZHANG Tao;SHEN Runping;WANG Zhihui(School of Geographical Science,Nanjing University of Information Science&Technology,Nanjing 210044,Jiangsu,China;National Meteorological Information Center,Beijing 100081,China)
机构地区:[1]南京信息工程大学地理科学学院,江苏南京210044 [2]国家气象信息中心,北京100081
出 处:《高原气象》2022年第3期803-813,共11页Plateau Meteorology
基 金:国家重点研发计划项目(2018YFC1506601)。
摘 要:利用1987-2016年中国大陆地区的776个站点的总云量资料与CRA40、ERA5、JRA55、CFSR四套再分析资料和国际卫星云气候计划(ISCCP)的月平均总云量数据,统计分析了不同资料的总云量在中国区域的时空差异以及各资料之间的相对一致性。结果表明,不同资料总云量的空间分布特征总体一致,云量的高值区与低值区都有所体现。但是,不同资料在量值上存在一定的差异,ISCCP总云量整体比其他资料偏高5%~20%,各种资料在江淮、东南和西南等总云量高值区吻合程度更好。在东北、西北及内蒙古大部分地区由于有积雪覆盖,卫星反演存在云雪误判导致ISCCP总云量与地面观测和再分析资料相比显著偏高。CRA40与JRA55在东北、华北和江淮地区与地面观测的偏差较小,而ERA5与CFSR在华南及西南地区与地面观测更为接近,JRA55总云量在各资料中最低,在华北、西北以及青藏高原地区表现得尤为明显。ERA5总云量与地面观测一致性最高,其相关系数达到0.91,再分析总云量与ISCCP相关系数均低于0.7,CRA40与ERA5的相关系数达到0.87,CFSR与ERA5也具有较高的相关性,而JRA55与CFSR相关性很低,仅有0.41。Cloud is an important factor affecting climate change,and it plays an important role in controlling the earth's energy and water cycle.A comprehensive understanding of the distribution and changes of the total cloud cover is particularly important for assessing the role of cloud in climate change.At present,there are relatively few studies on the characteristics of cloud cover changes in China based on reanalysis data.Further attention needs to be paid to the application of cloud products based on reanalysis data in China.Using the total cloud cover data of 776 sites observations in China's Mainland,the four sets of CRA40,ERA5,JRA55,CFSR reanalysis data and the monthly average total cloud cover data of the International Satellite Cloud Climatology Project(ISCCP)from 1987 to 2016,We analyzed the temporal and spatial differences of the total cloud cover of different data in China and the relative consistency between the data.The results showed that:the spatial distribution characteristics of the total cloud cover of different data were generally consistent,and the high value area and low value area of the cloud amount were reflected.However,there were certain differences in the value of the different data.The total cloud cover of ISCCP was generally 5%~20%higher than other data,and the various data were in better agreement in the high value areas of total cloud cover such as Jianghuai,Southeast and Southwest.In the Northeast,Northwest and most areas of Inner Mongolia,due to the snow cover,the misjudgment of cloud and snow in satellite inversion resulted a significantly higher ISCCP total cloud content compared with ground observations and reanalysis data.CRA40 and JRA55 had relatively small deviations from ground observations in Northeast,North China and Jianghuai regions.ERA5 and CFSR were closer to ground observations in South China and Southwest China.JRA55 total cloud cover was the lowest among the various data.This was particularly evident in the North China,Northwest China and Qinghai-Xizang Plateau.ERA5 had
分 类 号:P426.5[天文地球—大气科学及气象学]
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