{"title":"Continental evaluation of GPM IMERG V07B precipitation on a sub-daily scale","authors":"Jinghua Xiong , Guoqiang Tang , Yuting Yang","doi":"10.1016/j.rse.2025.114690","DOIUrl":null,"url":null,"abstract":"<div><div>Satellite-based precipitation products have significantly advanced applications in hydrology, climate science, and related fields. Despite the significant role of the Global Precipitation Measurement (GPM) mission in monitoring global precipitation dynamics over the past decade, its performance on sub-daily time scales remains insufficiently explored on a global scale. This study provides a continental assessment of the Integrated Multi-satellitE Retrievals for GPM (IMERG) V07B Final Run using extensive hourly ground observations across contiguous United States (CONUS), West Europe, and East Asia. The results demonstrate that IMERG captures precipitation amounts with reasonable accuracy, yielding a median Kling–Gupta efficiency of 0.31 and a median relative bias of 7 %. This bias is primarily attributed to overestimated precipitation frequency and underestimated intensity. However, its performance varies significantly with seasons, land surface attributes, and precipitation types, with better performance generally observed in spring and fall, as well as in temperate and humid climates, and low-altitude regions. While IMERG performs well in detecting moderate precipitation, it struggles with drizzle and moderate-to-extreme events, particularly those exceeding 5 mm/h. Additionally, diurnal performance variability is evident, with the highest accuracy observed in the morning (0600–0900) and the lowest in the afternoon (1400–1700). These findings underscore the variable performance of IMERG and highlight the need for further improvements, especially in capturing extreme precipitation in regions with complex geo-topographic conditions.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"321 ","pages":"Article 114690"},"PeriodicalIF":11.1000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S003442572500094X","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Satellite-based precipitation products have significantly advanced applications in hydrology, climate science, and related fields. Despite the significant role of the Global Precipitation Measurement (GPM) mission in monitoring global precipitation dynamics over the past decade, its performance on sub-daily time scales remains insufficiently explored on a global scale. This study provides a continental assessment of the Integrated Multi-satellitE Retrievals for GPM (IMERG) V07B Final Run using extensive hourly ground observations across contiguous United States (CONUS), West Europe, and East Asia. The results demonstrate that IMERG captures precipitation amounts with reasonable accuracy, yielding a median Kling–Gupta efficiency of 0.31 and a median relative bias of 7 %. This bias is primarily attributed to overestimated precipitation frequency and underestimated intensity. However, its performance varies significantly with seasons, land surface attributes, and precipitation types, with better performance generally observed in spring and fall, as well as in temperate and humid climates, and low-altitude regions. While IMERG performs well in detecting moderate precipitation, it struggles with drizzle and moderate-to-extreme events, particularly those exceeding 5 mm/h. Additionally, diurnal performance variability is evident, with the highest accuracy observed in the morning (0600–0900) and the lowest in the afternoon (1400–1700). These findings underscore the variable performance of IMERG and highlight the need for further improvements, especially in capturing extreme precipitation in regions with complex geo-topographic conditions.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.