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GPM和CMORPH卫星产品在重庆暴雨过程中的应用评估

何跃 张新科 李强 邓承之

气象研究与应用2024,Vol.45Issue(1):64-71,8.
气象研究与应用2024,Vol.45Issue(1):64-71,8.DOI:10.19849/j.cnki.CN45-1356/P.2024.1.11

GPM和CMORPH卫星产品在重庆暴雨过程中的应用评估

Application evaluation of GPM and CMORPH satellite products during rainstorms in Chongqing

何跃 1张新科 2李强 1邓承之1

作者信息

  • 1. 重庆市气象台,重庆 401147
  • 2. 重庆市荣昌区气象局,重庆 荣昌 402460
  • 折叠

摘要

Abstract

Based on the ground-level high-spatiotemporal-resolution encrypted rainfall observation data during three consecutive regional rainstorm processes in Chongqing in June 2020,the estimation accuracies of two mainstream satellite precipitation products,IMERG(GPM)and CMORPH,for heavy rainfall in Chongqing was evaluated.The results show that IMERG and CMORPH can generally capture the temporal and spatial distribution characteristics of heavy rainfall in Chongqing.However,both satellite products overestimate the total precipitation during the rainstorm processes,with the relative error(RB)of IMERG ranging from 0.7%to 41.6%,and the RB of CMORPH ranging from 23.7%to 82.8%,and the overestimation of CMORPH is more significant than that of IMERG.At the same time,the two satellite products have significant systematic errors in the estimation accuracy of precipitation with rainfall intensity less than 20 mm·h-1,which is manifested as underestimation of rainfall intensity less than 2.0 mm·h-1 and overestimation of rainfall with rainfall intensity of 4.0~19.9 mm·h-1,and the estimation accuracy of IMERG is better than that of CMORPH.For extreme precipitation with a rainfall intensity exceeding 20 mm·h-1,both satellite products show great instability,the detection rate(POD)and the critical success index(CSI)are less than 0.1,and the false alarm rate(FAR)is greater than 0.85,which means the estimation ability is limited,and further improvement of the algorithm is needed.

关键词

暴雨/卫星产品/GPM/CMORPH/应用评估

Key words

rainstorm/satellite products/GPM/CMORPH/application evaluation

分类

大气科学

引用本文复制引用

何跃,张新科,李强,邓承之..GPM和CMORPH卫星产品在重庆暴雨过程中的应用评估[J].气象研究与应用,2024,45(1):64-71,8.

基金项目

中国气象局创新发展专项(CXFZ2022J011)、重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX0665) (CXFZ2022J011)

气象研究与应用

1673-8411

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