DOI: 10.1016/j.atmosres.2018.12.032
Scopus记录号: 2-s2.0-85059591281
论文题名: Evaluation of the GSMaP_Gauge products using rain gauge observations and SWAT model in the Upper Hanjiang River Basin
作者: Deng P. ; Zhang M. ; Bing J. ; Jia J. ; Zhang D.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 219 起始页码: 153
结束页码: 165
语种: 英语
英文关键词: GSMaP_Gauge
; Hanjiang River Basin
; Precipitation correction
; Rainfall
; SWAT
Scopus关键词: Errors
; Information management
; Rain gages
; Runoff
; Watersheds
; Coefficient of determination
; Global precipitation measurement missions
; GSMaP_Gauge
; Hanjiang rivers
; Nash-Sutcliffe coefficient
; Precipitation correction
; Satellite precipitation products
; SWAT
; Rain
; calibration
; error correction
; hydrological modeling
; rainfall
; raingauge
; river basin
; soil and water assessment tool
; China
; Hanjiang Basin
英文摘要: Global Satellite Mapping of Precipitation (GSMaP) product is an important satellite precipitation product of Global Precipitation Measurement (GPM) mission, which provides an alternative means to ground-based rainfall estimates, in which case a rigorous product assessment was required before implementation. The objective of this paper is to evaluate and calibrate the errors of GSMaP_Gauge (GG) products, then SWAT model is chosen to evaluate its performance in hydrological simulation. It was found that the GG has a superior ability in detecting moderate rainfall events of 10–20 mm/d, while other magnitude accuracy needs to be strengthened. The Nash-Sutcliffe coefficient of efficiency (NS), coefficient of determination (R 2 ) and the percent bias (PBIAS) were used to evaluate hydrological model performance in the daily scale, supporting the view that GG still allow considerable room for improvement. SWAT model driving by GG performed relatively poorly which is 0.77 ≤ R 2 ≤ 0.84, 0.53 ≤ NS ≤ 0.64 and |PBIAS| < 9%, while the performance of corrected GG is relatively better that is 0.85 ≤ R 2 ≤ 0.87, 0.70 ≤ NS ≤ 0.75 and |PBIAS| < 15%. Through the error's correction of GG, it brings a better performance of runoff simulation under SWAT modeling, leading to 11.94% and 6.1% maximum increase in NS and R 2 respectively. Certain shortcomings are also noted that improvements to the relative runoff depth errors are limited or worse. But in general, GSMaP product has the potential to be an alternative data source for the research on hydrological simulation and water resources management in data-poor or ungauged basins. © 2019 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122314
Appears in Collections: 气候变化事实与影响
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作者单位: Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan, 430010, China; Hubei Provincial Hydrology and Water Resources Investigation Bureau, Wuhan, 430071, China
Recommended Citation:
Deng P.,Zhang M.,Bing J.,et al. Evaluation of the GSMaP_Gauge products using rain gauge observations and SWAT model in the Upper Hanjiang River Basin[J]. Atmospheric Research,2019-01-01,219