三套再分析气温资料在广西的适用性评估  

Applicability evaluation of surface air temperature from three reanalysis datasets in Guangxi Province

作　　者：何莉阳 苏传程 覃卫坚[1] 邓悦 赖晟 朱秋宇 He Liyang;Su Chuancheng;Qin Weijian;Deng Yue;Lai Sheng;Zhu Qiuyu(Guangxi Climate Center,Nanning 530022,China;Guangxi Meteorological Information Center,Nanning 530022,China)

机构地区：[1]广西壮族自治区气候中心,南宁530022 [2]广西壮族自治区气象信息中心,南宁530022

出　　处：《气象研究与应用》2022年第3期8-13,共6页Journal of Meteorological Research and Application

基　　金：广西科技计划项目(桂科AB21075005)。

摘　　要：以2020年广西91个国家地面气象观测站2m气温资料作为基准,对中国第一代陆面再分析资料CMARA/Land及目前广泛使用的ERA5/Land、CFSR等3套再分析气温资料在广西的适用性进行初步对比评估。结果表明,3套资料均能重现气温时空分布特征,但存在不同程度的冷偏差,CMA-RA/Land与观测值最接近,ERA5/Land在桂北冷偏差较明显,CFSR整体冷偏差较大。CMA-RA/Land在站点上的各项评估指标均表现良好,相关系数高,均方根误差、绝对误差、相对误差均较小。总体来看,CMA-RA/Land在广西适用性最好。Taking the 2m temperature data of 91 national surface meteorological observation stations in Guangxi in 2020 as the benchmark, a preliminary comparison of the applicability of surface air temperature from china first-generation land surface reanalysis data(CMA-RA/Land), and ERA5/Land, CFSR, which two are widely used at present, was conducted in Guangxi. The results show that the spatial-temporal distribution characteristics of temperature can be reproduced in all three sets of data, but there are varying degrees of cold deviation. Among them, CMA-RA/Land is the closest to the observed values, while the cold bias of ERA5/Land is obvious in northern Guangxi, and CFSR has the largest cold deviation. CMA-RA/Land performed best on all evaluation indicators, with the highest correlation coefficient, and its root mean square error, absolute error and relative error were the smallest. Overall, CMA-RA/Land has the best applicability in Guangxi.

关 键 词：再分析资料 地面气温 观测资料 线性拟合 适应性 

分 类 号：P468[天文地球—大气科学及气象学]