Applicability Evaluation of Chinas First Generation Global Atmospheric ReanalysisCRAPrecipitation Products in Sichuan Region

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  • 1. Sichuan Meteorological Observation and Data CentreChengdu 610072SichuanChina
    2. Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan ProvinceChengdu 610072SichuanChina
    3. National Meteorological Information CentreBeijing 100081China

Online published: 2025-06-26

Abstract

In order to study the applicability of China΄s first generation global atmospheric reanalysisCRAprecipitation dataset in Sichuan region. The applicability of CRA has been evaluated with the precipitation observations from 155 national meteorological stations in Sichuan region and further compared with the ERA5 and CF‐ SR datasets in terms of spatial distribution of precipitationtemporal variationserror analysis. The mean error ME),root mean square errorRMSE),Standard deviationSTD),Correlation coefficientRof the three re‐ analysis datasets are computed to compare the accuracy and evaluate the application. The comparative results suggest that:(1In the simulation of the spatial distribution of annual precipitationthe distribution of less precipitation in the western Sichuan Plateau and more precipitation in the Sichuan Basin can be simulated by the three reanalysis datasetsbut the location and magnitude of the extreme precipitation area can only be better simulated by CRA;(2In the simulation of the spatial distribution of four seasons precipitationCRA is almost consistent with the observationsand the summer precipitation of CRA is less than the observationsthe location and magnitude of ERA5 and CFSR is mostly inconsistent with the observationsand the precipitation of ERA5 and CFSR is larger than the observations;(3In the characteristics of temporal changes in precipitationthe seasonal variation of precipitation can be simulated by the three reanalysis datasetsbut annual variability of the monthly and seasonal precipitation can be only be simulated by CRA. Compared with ERA5 and CFSRthe linear variation characteristics of Sichuan precipitation can be better reflected by CRA;(4In the spatial distribution of daily precipitation RMSEthe RMSE of CRA is the smallestthe RMSE of ERA5 and CFSR in different regions are different. In terms of correlation coefficientstandard deviationand root mean square error for precipitation in four seasonsCRA has the largest correlation coefficient in all seasonsand the smallest standard deviationroot mean square error. On the wholeCRA is better than ERA5 in the simulation of precipitation in Sichuan regionERA5 is better than CFSR. And CRA can be used to replace ERA5 and CFSR.

Cite this article

CHEN Zhongyu, LIAO Jie, CHU Meng, LÜ Chunyue . Applicability Evaluation of Chinas First Generation Global Atmospheric ReanalysisCRAPrecipitation Products in Sichuan Region[J]. Plateau Meteorology, 0 : 1 . DOI: 10.7522/j.issn.1000-0534.2025.00014

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