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Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge
Li, WY (Li, Weiyue)1,2; He, XG (He, Xiaogang)3; Sun, WW (Sun, Weiwei)4; Scaioni, M (Scaioni, Marco)5; Yao, DJ (Yao, Dongjing)6; Fu, J (Fu, Jing)1; Chen, Y (Chen, Yu)7; Liu, B (Liu, Bin)7; Gao, J (Gao, Jun)1; Li, X (Li, Xin)8,9; Cheng, GD (Cheng, Guodong)1,2
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
2019
Volume40Issue:15Pages:5875-5891
DOI10.1080/01431161.2019.1584686
Abstract

Gridded precipitation products have been widely used in scientific literatures, e.g., weather forecasting, hydrological process modelling and disaster simulating. However, it is necessary to evaluate their accuracies before using them for practical purposes. In this study, three mainstream different-spatial-scale daily gridded precipitation data (GPD), including [Global Satellite Mapping of Precipitation-gauge adjusted (GSMAP_Gauge), TRMM 3B42 version-7 (TRMM 3B42V7) and Global Precipitation Climatology Project version 1.2 (GPCP-V1.2)] were systematically evaluated against local rain gauges for their ability to detect precipitation characteristics of Shanghai in 2008 based on upscaling of rain gauge. In general, the gridded precipitation products overestimate precipitation compared to upscaled ground observations (UGOs). However, all of the products have an obvious underestimation on extreme precipitation (>50 mm day(-1)). In contrast, the results show that GSMaP_Gauge has the highest correlation coefficient, TRMM 3B42V7 has the lowest RMSE, and Probability of Detection (POD) in GPCP-V1.2 is better than that in TRMM 3B42V7 and GSMaP_Gauge. As the spatial resolution decreases, the frequency and amount of extreme precipitation events decrease regardless of detection from UGOs and GPD. We also find that those heavy precipitation events detected from TRMM 3B42V7 at 0.25 degrees and 1.0 degrees are significantly underestimated. Overall, we believe that it is necessary to evaluate gridded precipitation products at the urban scale based on upscaling of rain gauge.

Subject AreaRemote Sensing
WOS IDWOS:000467756400010
Language英语
Indexed BySCI
KeywordGlobal Gridded Precipitation Passive Microwave Urban Weather Climatology Landslides Project Cmorph Gsmap Areas
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
Cooperation Status国际
ISSN0143-1161
URL查看原文
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9198
Collection图书馆
Corresponding AuthorLi, WY (Li, Weiyue); Fu, J (Fu, Jing)
Affiliation1.Shanghai Normal Univ, Inst Urban Studies, 100 Guilin Rd, Shanghai 200234, Peoples R China;
2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Gansu, Peoples R China;
3.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA;
4.Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo, Zhejiang, Peoples R China;
5.Politecn Milan, Dept Architecture Built Environm & Construct Engn, Milan, Italy;
6.Shanghai Normal Univ, Dept Geog, Shanghai, Peoples R China;
7.Shandong Acad Bldg Res, Jinan, Shandong, Peoples R China;
8.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing, Peoples R China;
9.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
Recommended Citation
GB/T 7714
Li, WY ,He, XG ,Sun, WW ,et al. Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(15):5875-5891.
APA Li, WY .,He, XG .,Sun, WW .,Scaioni, M .,Yao, DJ .,...&Cheng, GD .(2019).Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(15),5875-5891.
MLA Li, WY ,et al."Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.15(2019):5875-5891.
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