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Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations
Li, WY (Li, Weiyue)1,2; Sun, WW (Sun, Weiwei)3; He, XG (He, Xiaogang)4; Scaioni, M (Scaioni, Marco)5; Yao, DJ (Yao, Dongjing)6; Chen, Y (Chen, Yu)7; Gao, J (Gao, Jun)1; Li, X (Li, Xin)8,9; Cheng, GD (Cheng, Guodong)1,2
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2019
Volume16Issue:11Pages:1678-1682
DOI10.1109/LGRS.2019.2907532
Abstract

A clear bias exists in the widely used gridded precipitation products (GPPs) that result from factors about topography, climate, and retrieval algorithms. Many existing optimization works have a deficiency in validation and domain sizes, which makes the evaluation and corrections of the Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) product still challenging. In this letter, we propose a bias-correction approach that combines coarser-resolution gauge-based precipitation with a probability distribution function (PDF) to improve the accuracy of CHIRPS. The data from 27 local precipitation gauges in Shanghai are utilized to testify the performance of our method. Results explain that daily corrected CHIRPS (Cor-CHIRPS) product has higher accuracy than CHIRPS compared with ground truths (GrTs) in terms of both error statistics and detection capability, particularly in spring, autumn, and winter. Moreover, Cor-CHIRPS better captures the frequencies of precipitation events and well depicts the spatial characteristics of the annual precipitation.

Subject AreaGeochemistry & Geophysics
WOS IDWOS:000496226100002
Language英语
Indexed BySCI
KeywordMicrowave Radar
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
Cooperation Status国际
ISSN1545-598X
Department环境变化与地表过程重点实验室
URL查看原文
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9102
Collection图书馆
Corresponding AuthorSun, WW (Sun, Weiwei)
Affiliation1.Shanghai Normal Univ, Inst Urban Studies, Shanghai 200234, Peoples R China;
2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China;
3.Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Zhejiang, Peoples R China;
4.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA;
5.Politecn Milan, Dept Architecture Built Environm & Construct Engn, I-20133 Milan, Italy;
6.Shanghai Normal Univ, Dept Geog, Shanghai 200234, Peoples R China;
7.Shandong Acad Bldg Res, Jinan 250031, Shandong, Peoples R China;
8.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China;
9.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China.
Recommended Citation
GB/T 7714
Li, WY ,Sun, WW ,He, XG ,et al. Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2019,16(11):1678-1682.
APA Li, WY .,Sun, WW .,He, XG .,Scaioni, M .,Yao, DJ .,...&Cheng, GD .(2019).Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,16(11),1678-1682.
MLA Li, WY ,et al."Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 16.11(2019):1678-1682.
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