气候变化领域集成服务门户(CCPortal): Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event

CCPortal

DOI	10.1016/j.atmosres.2018.09.018
	Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event
	Zhang A.; Xiao L.; Min C.; Chen S.; Kulie M.; Huang C.; Liang Z.
发表日期	2019
ISSN	0169-8095
起始页码	76
结束页码	85
卷号	216
英文摘要	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.
英文关键词	Extreme rainfall; GSMaP; IMERG; Radar; Southern China
语种	英语
scopus关键词	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; extreme event; hydrological modeling; precipitation assessment; radar; rainfall; satellite imagery; China; Guangdong
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162325
作者单位	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
推荐引用方式 GB/T 7714	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],2019,216.
APA	Zhang A..,Xiao L..,Min C..,Chen S..,Kulie M..,...&Liang Z..(2019).Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event.Atmospheric Research,216.
MLA	Zhang A.,et al."Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event".Atmospheric Research 216(2019).