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中国地面气象要素格点融合业务产品检验
引用本文:孙靖,程光光,黄小玉. 中国地面气象要素格点融合业务产品检验[J]. 高原气象, 2021, 40(1): 178-188
作者姓名:孙靖  程光光  黄小玉
作者单位:国家气象中心,北京100081;国家气象中心,北京100081;中国气象局数值预报中心,北京100081
基金项目:国家重点研发计划项目(2018YFC1506606)。
摘    要:对2018年5 km分辨率中国地面气象要素2m温度、10 m风速和24 h累积降水格点融合产品进行非独立和独立检验.非独立检验结果表明:(1)相比于站点观测,2m温度格点融合产品整体偏暖,各月平均均方根误差在1 ℃左右,35 ℃以上高温和-20 ℃以下低温天气时均方根误差分别在1 ℃和2 ℃以上.(2)10m风速格点融...

关 键 词:高时空分辨率  格点融合产品  独立检验

The Verification of Gridded Surface Meteorological Elements Merging Product in China
SUN Jing,CHENG Guangguang,HUANG Xiaoyu. The Verification of Gridded Surface Meteorological Elements Merging Product in China[J]. Plateau Meteorology, 2021, 40(1): 178-188
Authors:SUN Jing  CHENG Guangguang  HUANG Xiaoyu
Affiliation:(National Meteorological Center,Beijing 100081,China;Numerical Weather Prediction Center of China Meteorological Administration,Beijing 100081,China)
Abstract:Independent and non-independent validations have been done to evaluate the merged 5 km resolution gridded products in China in 2018,including 2 m temperature,10 m wind and 24 h accumulated precipitation.The non-independent validation shows that:(1)compared with the in situ station data,the 2 m temperature product has a warm bias:the monthly-averaged Root-Mean-Square-Error(RMSE)is around 1 ℃,and for the hottest(≥35 ℃)and the coldest(≤-20 ℃)days,the RMSE is above 1 ℃ and 2 ℃ respectively.(2)The 10 m wind product can precisely re-produce the wind within grade 0~2,but it will underestimate the wind speed within grade 3 and after,especially over grade 6.(3)the precipitation product will over-estimate the rainfall area when the rainfall is between 0 to 0. 1 mm;and the RMSE and Mean-Error(ME)will increase along with the precipitation increasing,which is due to the under-estimation of the precipitation compared with the observation.Generally,the precipitation product merged from three sources(radar,satellite,and gauge)is better than that from two sources(satellite and gauge). The independent validation shows that the monthly RMSE and ME of the2 m temperature,10 m wind and 24 h accumulated precipitation data are very similar to the non-independent validation. And the independent validation can point out the bias,which are discussed in the non-independent validation,more clearly. This is mainly because the in situ station data used in the independent evaluation are not merged in the product. To summary,the merged gridded products have small biases in ordinary days,and larger bias in severe weather like very hot and cold days,windy or rainy days.
Keywords:High time-space resolution  gridded merged products  independent validation
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