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RA）用 户 手 册 . pdf. CMA national meteorological information logical information center， 1-3. data. cma. cn/article/showPDF‐
center， 2022. CMA Global Atmospheric/Land Surface Reanalysis File. html？ file=/pic/static/doc/cra/CMA Global Atmospheric/
Products（CMA-RA） User Guide［OL］. CMA national meteoro‐ Land Surface Reanalysis Products（CMA-RA） User Guide. pdf.

Applicability Evaluation of China’s First Generation Global Atmospheric

Reanalysis（CRA） Precipitation Products in Sichuan Region

CHEN Zhongyu ， LIAO Jie ， CHU Meng ， LÜ Chunyue 1， 2
1， 2
3
1， 2
（1. Sichuan Meteorological Observation and Data Centre， Chengdu 610072， Sichuan， China；
2. Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of
Sichuan Province， Chengdu 610072， Sichuan， China；
3. National Meteorological Information Centre， Beijing 100081， China）

Abstract： In order to study the applicability of China΄s first generation global atmospheric reanalysis（CRA） pre‐
cipitation dataset in Sichuan region. The applicability of CRA has been evaluated with the precipitation observa‐
tions from 155 national meteorological stations in Sichuan region and further compared with the ERA5 and CF‐
SR datasets in terms of spatial distribution of precipitation， temporal variations， error analysis. The mean error
（ME）， root mean square error（RMSE）， Standard deviation（STD）， Correlation coefficient（R） of the three re‐
analysis datasets are computed to compare the accuracy and evaluate the application. The comparative results sug‐
gest that： （1） In the simulation of the spatial distribution of annual precipitation， the distribution of less precipi‐
tation in the western Sichuan Plateau and more precipitation in the Sichuan Basin can be simulated by the three
reanalysis datasets， but the location and magnitude of the extreme precipitation area can only be better simulated
by CRA； （2） In the simulation of the spatial distribution of four seasons precipitation， CRA is almost consistent
with the observations， and the summer precipitation of CRA is less than the observations， the location and mag‐
nitude of ERA5 and CFSR is mostly inconsistent with the observations， and the precipitation of ERA5 and CFSR
is larger than the observations； （3） In the characteristics of temporal changes in precipitation， the seasonal varia‐
tion of precipitation can be simulated by the three reanalysis datasets， but annual variability of the monthly and
seasonal precipitation can be only be simulated by CRA. Compared with ERA5 and CFSR， the linear variation
characteristics of Sichuan precipitation can be better reflected by CRA； （4） In the spatial distribution of daily
precipitation RMSE， the RMSE of CRA is the smallest， the RMSE of ERA5 and CFSR in different regions are
different. In terms of correlation coefficient， standard deviation， and root mean square error for precipitation in
four seasons， CRA has the largest correlation coefficient in all seasons， and the smallest standard deviation， root
mean square error. On the whole， CRA is better than ERA5 in the simulation of precipitation in Sichuan region，
ERA5 is better than CFSR. And CRA can be used to replace ERA5 and CFSR.
Key words： CRA； ERA5； CFSR； reanalysis datasets； precipitation； applicability evaluation