globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2018.09.018
Scopus ID: 2-s2.0-85054277838
Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event
Author: Zhang A.; Xiao L.; Min C.; Chen S.; Kulie M.; Huang C.; Liang Z.
Source Publication: Atmospheric Research
ISSN: 1698095
Publishing Year: 2019
Volume: 216
pages begin: 76
pages end: 85
Language: 英语
Keyword: Extreme rainfall ; GSMaP ; IMERG ; Radar ; Southern China
Scopus Keyword: Gages ; Meteorological radar ; Radar ; Rain ; Satellites ; Space-based radar ; Storms ; Dual-polarization weather radar ; Extreme rainfall ; Global precipitation measurements ; GSMaP ; High resolution satellites ; IMERG ; Southern China ; Spatiotemporal patterns ; Radar measurement
English Abstract: This study evaluates the performance of latest version 5B (V5B) Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) Final Run products during a 60-year return extreme precipitation storm on 7 May 2017 over southern China with gauge observations as the reference dataset. Version 4 (V4) Global Satellite Mapping of Precipitation (GSMaP) products and quantitative precipitation estimates derived from a local ground-based S-band dual polarization weather radar (radar, hereafter) were used for parallel comparisons. The satellite-only products (IMERGUncal and GSMaP_MVK) and gauge-corrected products (IMERGCal, GSMaP_Gauge) were selected for this study. The results showed that: 1) GSMaP_MVK, IMERGUncal, GSMaP_Gauge and IMERGCal generally capture the spatio-temporal patterns of storm-accumulated rainfall with correlation coefficient (CC) values about 0.76, 0.70, 0.68 and 0.72, respectively, while radar was well correlated with gauge measurement (CC about 0.94); 2) The GSMaP_Gauge (−19.38%), IMERGCal (−40.23%), GSMaP_MVK (−57.12%), IMERGUncal (−58.77%) satellite-based precipitation products all underestimated the storm-accumulated precipitation, while ground radar overestimated by 27.48%; 3) Both IMERGCal and IMERGUncal outperformed their GSMaP counterparts in capturing the time-series with much higher CC (0.50 vs. -0.21, 0.51 vs. 0.17); 4) Among the satellite-based QPE products, when the rainfall rates are <5 mm/h, IMERGCal performs best with highest CSI. The V4 GSMaP standard products and latest V5B IMERG final run products still had resolution and accuracy limitations in estimating extreme precipitation for this type of warm sector rainfall storm. These findings will help developers of rainfall retrieval products to understand the errors and also help improve modeling of hydrological extremes. © 2018 Elsevier B.V.
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被引频次[WOS]:6   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Appears in Collections:影响、适应和脆弱性

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Affiliation: School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, 519082, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Guangzhou, 510275, China; Guangzhou Observatory, Guangzhou, 511430, China; Michigan Technological University, Houghton, MI, United States; School of Geography and Planning, Guangxi Teachers Education University, Nanning, 530001, China; Key Laboratory of Beibu Gulf Environmental Evolution and Resources Utilization, Education Univerwsity, Ministry of Education, Nanning, 530001, China

Recommended Citation:
Zhang A.,Xiao L.,Min C.,et al. Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event[J]. Atmospheric Research,2019-01-01,216
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