Global S&T Development Trend Analysis Platform of Resources and Environment
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, Asi1,2; Xiao, Liusi1,2,3; Min, Chao1,2; Chen, Sheng1,2; Kulie, Mark4; Huang, Chaoying5,6; Liang, Zhenqing5,6 | |
2019-02-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2019 |
卷号 | 216页码:76-85 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
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_MVIO and gauge-corrected products (IMERGCaI, GSMaP_Gauge) were selected for this study. The results showed that: 1) GSMaP_MVK, IMERGUncal, GSMaP_Gauge and IMERGCaI 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. |
英文关键词 | Extreme rainfall Radar IMERG GSMaP Southern China |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000452344700007 |
WOS关键词 | PASSIVE MICROWAVE ; SIZE DISTRIBUTION ; RADAR ; ALGORITHM ; GSMAP ; IMERG ; TMPA |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/15205 |
专题 | 地球科学 |
作者单位 | 1.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China; 2.Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou 510275, Guangdong, Peoples R China; 3.Guangzhou Observ, Guangzhou 511430, Guangdong, Peoples R China; 4.Michigan Technol Univ, Houghton, MI 49931 USA; 5.Guangxi Teachers Educ Univ, Sch Geog & Planning, Nanning 530001, Peoples R China; 6.Educ Univ, Minist Educ, Key Lab Beibu Gulf Environm Evolut & Resources Ut, Nanning 530001, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Asi,Xiao, Liusi,Min, Chao,et al. Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event[J]. ATMOSPHERIC RESEARCH,2019,216:76-85. |
APA | Zhang, Asi.,Xiao, Liusi.,Min, Chao.,Chen, Sheng.,Kulie, Mark.,...&Liang, Zhenqing.(2019).Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event.ATMOSPHERIC RESEARCH,216,76-85. |
MLA | Zhang, Asi,et al."Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event".ATMOSPHERIC RESEARCH 216(2019):76-85. |
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