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DOI10.1016/j.atmosres.2018.08.021
Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China
Jiang, Shanhu1; Ren, Liliang1; Xu, Chong-Yu2; Yong, Bin1; Yuan, Fei1; Liu, Yi1; Yang, Xiaoli1; Zeng, Xinmin1
2018-12-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2018
卷号214页码:418-429
文章类型Article
语种英语
国家Peoples R China; Norway
英文摘要

Recently, the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) products with high spatial (0.1 degrees x 0.1 degrees) and temporal (half-hourly) resolution have become operationally available. It is of crucial importance to comprehensively evaluate these new products before they are applied extensively. This study focuses on statistical and hydrological evaluations of the latest IMERG (Version OS) products: the nearreal-time "Early" run and "Late" run IMERG products (IMERG-E and IMERG-L, respectively), and the post-realtime "Final" run IMERG product (IMERG-F) over the mid-latitude humid Mishui basin in South China during 2014-2015, in comparison with their predecessors, the Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) products (3B42RT and 3B42V7). The post-real-time IMERG-F presents the best performance among the five satellite precipitation products (SPPs), with the highest daily correlation coefficient (CC) of 0.85 and the lowest daily root-mean square error of 5.58 mm at the basin scale. The near-real-time IMERG-E and IMERG-L demonstrate comparable performance with 3B42V7. In addition, the Taylor diagrams visually demonstrate that the IMERG products are better than the 3B42 products. For hydrological simulations under scenario I (model calibration based on rain gauge observations), the post-real-time IMERG-F performs obviously better than the 3B42V7 does, with a relatively high CC of 0.81, a good Nash-Sutcliffe coefficient of 0.63, and an acceptable relative bias of - 3.98%. Both the IMERG-E and IMERG-L demonstrate a better performance than the 3B42RT does. For scenario II (model recalibration based on each satellite dataset), the hydrological performances of both the IMERG and 3B42 products are improved. The IMERG-E, especially, demonstrates streamflow simulation performance comparable to that of the 3B42V7, both for the whole simulation period and flood season, indicating the great potential of the latest near-real-time IMERG-E product for flood simulation and prediction. Overall, this systematic evaluation highlights that the latest IMERG products have desirable hydrological utility in the study region. This study will provide useful guidelines for hydrological applications of the new generation SPPs, as well as IMERG algorithm development.


英文关键词Satellite precipitation product GPM IMERG Statistical evaluation Hydrological utility Xinanjiang model
领域地球科学
收录类别SCI-E
WOS记录号WOS:000445990400034
WOS关键词SATELLITE-BASED PRECIPITATION ; ANALYSIS TMPA ; RAINFALL PRODUCTS ; PERSIANN-CDR ; DAY-1 IMERG ; TRMM ; MODEL ; PERFORMANCE ; NORTHEAST ; LATITUDE
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/38266
专题地球科学
作者单位1.Hohai Univ, Coll Hydrol & Water Resources, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Jiangsu, Peoples R China;
2.Univ Oslo, Dept Geosci, N-0316 Oslo, Blindern, Norway
推荐引用方式
GB/T 7714
Jiang, Shanhu,Ren, Liliang,Xu, Chong-Yu,et al. Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China[J]. ATMOSPHERIC RESEARCH,2018,214:418-429.
APA Jiang, Shanhu.,Ren, Liliang.,Xu, Chong-Yu.,Yong, Bin.,Yuan, Fei.,...&Zeng, Xinmin.(2018).Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China.ATMOSPHERIC RESEARCH,214,418-429.
MLA Jiang, Shanhu,et al."Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China".ATMOSPHERIC RESEARCH 214(2018):418-429.
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