中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Comprehensive Evaluation of Latest GPM IMERG V06 Early, Late and Final Precipitation Products across China

文献类型:期刊论文

作者Yu, Linfei1,2; Leng, Guoyong1,2; Python, Andre3; Peng, Jian4,5
刊名REMOTE SENSING
出版日期2021-03-01
卷号13期号:6页码:22
关键词satellite precipitation products IMERG accuracy evaluation rain gauge China
DOI10.3390/rs13061208
通讯作者Leng, Guoyong(lenggy@igsnrr.ac.cn)
英文摘要This study evaluated the performance of the early, late and final runs of IMERG version 06 precipitation products at various spatial and temporal scales in China from 2008 to 2017, against observations from 696 rain gauges. The results suggest that the three IMERG products can well reproduce the spatial patterns of precipitation, but exhibit a gradual decrease in the accuracy from the southeast to the northwest of China. Overall, the three runs show better performances in the eastern humid basins than the western arid basins. Compared to the early and late runs, the final run shows an improvement in the performance of precipitation estimation in terms of correlation coefficient, Kling-Gupta Efficiency and root mean square error at both daily and monthly scales. The three runs show similar daily precipitation detection capability over China. The biases of the three runs show a significantly positive (p < 0.01) correlation with elevation, with higher accuracy observed with an increase in elevation. However, the categorical metrics exhibit low levels of dependency on elevation, except for the probability of detection. Over China and major river basins, the three products underestimate the frequency of no/tiny rain events (P < 0.1 mm/day) but overestimate the frequency of light rain events (0.1 <= P < 10 mm/day). The three products converge with ground-based observation with regard to the frequency of rainstorm (P >= 50 mm/day) in the southern part of China. The revealed uncertainties associated with the IMERG products suggests that sustaining efforts are needed to improve their retrieval algorithms in the future.
WOS关键词INTEGRATED MULTISATELLITE RETRIEVALS ; EXTREME PRECIPITATION ; RAINFALL ; PERFORMANCE ; TRMM ; VALIDATION ; TMPA ; DATASET ; CHIRPS ; ERROR
资助项目National Key Research and Development Program of China[2020YFA0608502] ; National Natural Science Foundation of China[42077420]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000651950700001
出版者MDPI
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/162922]  
专题中国科学院地理科学与资源研究所
通讯作者Leng, Guoyong
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100011, Peoples R China
2.Univ Chinese Acad Sci, Beijing 101400, Peoples R China
3.Univ Oxford, Big Data Inst, Oxford OX3 7LF, England
4.UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Permoserstr 15, D-04318 Leipzig, Germany
5.Univ Leipzig, Remote Sensing Ctr Earth Syst Res, D-04109 Leipzig, Germany
推荐引用方式
GB/T 7714
Yu, Linfei,Leng, Guoyong,Python, Andre,et al. A Comprehensive Evaluation of Latest GPM IMERG V06 Early, Late and Final Precipitation Products across China[J]. REMOTE SENSING,2021,13(6):22.
APA Yu, Linfei,Leng, Guoyong,Python, Andre,&Peng, Jian.(2021).A Comprehensive Evaluation of Latest GPM IMERG V06 Early, Late and Final Precipitation Products across China.REMOTE SENSING,13(6),22.
MLA Yu, Linfei,et al."A Comprehensive Evaluation of Latest GPM IMERG V06 Early, Late and Final Precipitation Products across China".REMOTE SENSING 13.6(2021):22.

入库方式: OAI收割

来源:地理科学与资源研究所

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