DOI: 10.1016/j.atmosres.2018.08.021
Scopus记录号: 2-s2.0-85052612729
论文题名: Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China
作者: Jiang S. ; Ren L. ; Xu C.-Y. ; Yong B. ; Yuan F. ; Liu Y. ; Yang X. ; Zeng X.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 214 起始页码: 418
结束页码: 429
语种: 英语
英文关键词: GPM IMERG
; Hydrological utility
; Satellite precipitation product
; Statistical evaluation
; Xinanjiang model
Scopus关键词: Floods
; Mean square error
; Rain
; Rain gages
; Surface plasmon resonance
; GPM IMERG
; Hydrological utility
; Satellite precipitation products
; Statistical evaluation
; Xin-anjiang models
; Satellites
; analytical method
; hydrological modeling
; midlatitude environment
; precipitation assessment
; real time
; satellite data
; spatiotemporal analysis
; China
; Hunan
; Mishui Basin
英文摘要: Recently, the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) products with high spatial (0.1° × 0.1°) 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 05) products: the near-real-time “Early” run and “Late” run IMERG products (IMERG-E and IMERG-L, respectively), and the post-real-time “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. © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108760
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing, China; Department of Geosciences, University of Oslo, 1047 Blindern, Oslo, N-0316, Norway
Recommended Citation:
Jiang S.,Ren L.,Xu C.-Y.,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,2018-01-01,214