长江科学院院报2025，Vol.42Issue(4)：52-60,9.DOI:10.11988/ckyyb.20231363
中国第一代全球陆面再分析月降水产品在长江流域的适用性分析
Applicability of China's First Generation of Global Land Surface Reanalysis Monthly Precipitation Products in the Yangtze River Basin
摘要
Abstract
China's first-generation global land surface reanalysis CRA monthly precipitation products offer a new boundary information source for basin hydrological analysis.Taking station observations in the Yangtze River Basin as a reference,we assessed the applicability of CRA products from aspects of temporal evolution,spatial distribu-tion,and drought identification ability.The results reveal that CRA data can effectively capture the interannual vari-ations and monthly distribution of areal precipitation in the Yangtze River Basin.The multi-year average precipitati-on derived from CRA data is only 1.2％lower than the observed data.The correlation coefficients of monthly data all exceed 0.9.Nevertheless,the efficiency coefficients during the main flood season(July and August)are below 0.9,slightly lower than those in other months.The applicability of CRA products shows significant spatial heterogeneity.The mainstream of the Yangtze River from Yibin to Hukou has the best applicability with minimal spatial variation within this region,while the Minjiang and Tuojiang Rivers has the lowest applicability with remarkable spatial varia-bility.CRA data tend to underestimate the precipitation in high-value areas and overestimate the precipitation in low-value areas.Nonetheless,CRA products display strong capabilities in identifying various levels of drought e-vents on an intra-annual scale.These findings provide a reference for analyzing and enhancing the accuracy of CRA products,facilitating their application in basin hydrology.关键词
CRA/再分析资料/适用性评估/降水/干旱/长江流域Key words
CRA/reanalysis data/applicability assessment/precipitation/drought/Yangtze River Basin分类
建筑与水利引用本文复制引用
王文鹏,张馨月,崔俊豪,吴光东,张天宇,刘波..中国第一代全球陆面再分析月降水产品在长江流域的适用性分析[J].长江科学院院报,2025,42(4):52-60,9.基金项目
国家重点研发计划项目(2023YFC3006501) （2023YFC3006501）
水利部重大科技项目(SKS-2022132) （SKS-2022132）
国家自然科学基金联合基金项目(U24A20587) （U24A20587）
