DOI: 10.1016/j.atmosres.2018.02.022
Scopus记录号: 2-s2.0-85042936099
论文题名: Evaluation and hydrological application of satellite-based precipitation datasets in driving hydrological models over the Huifa river basin in Northeast China
作者: Zhu H. ; Li Y. ; Huang Y. ; Li Y. ; Hou C. ; Shi X.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 207 起始页码: 28
结束页码: 41
语种: 英语
英文关键词: Fengyun
; Huifa river basin
; Satellite-based precipitation datasets
; Streamflow simulation
; SWAT
Scopus关键词: Gages
; Hydrology
; Rain gages
; Rivers
; Satellites
; Stream flow
; Watersheds
; Distributed hydrological model
; Fengyun
; Frequency distributions
; River basins
; Simulation uncertainty
; Spatial and temporal resolutions
; Streamflow simulations
; SWAT
; Uncertainty analysis
; data set
; FengYun
; hydrological modeling
; precipitation assessment
; satellite data
; soil and water assessment tool
; streamflow
; China
; Huifa Basin
; Jilin
英文摘要: Satellite-based precipitation estimates with high spatial and temporal resolution and large areal coverage have provided hydrologists a potential alternative source for hydrological applications since the last few years, especially for ungauged regions. This study evaluates five satellite-based precipitation datasets, namely, Fengyun, TRMM 3B42, TRMM 3B42RT, CMORPH_BLD and CMORPH_RAW, against gauge observations for streamflow simulation with a distributed hydrological model (SWAT) over the Huifa river basin, Northeast China. Results show that, by comparing the statistical indices (MA, M5P, STDE, ME, BIAS and CC) and inter-annual precipitation, it is demonstrated that Fengyun TRMM 3B42 and CMORPH_BLD show better agreement with gauge precipitation data than CMORPH_RAW and TRMM 3B42RT. When the SWAT model for each dataset calibrated and validated individually, satisfactory model performances (defined as: NS > 0.5) are achieved at daily scale for Fengyun, TRMM 3B42 and gauge-driven model, and very good performances (defined as: NS > 0.75) are achieved at monthly scale for Fengyun and gauge-driven model, respectively. The CMORPH_BLD forced daily simulations also yield higher values of NS and R2 than CMORPH_RAW and TRMM 3B42RT at daily and monthly step. From the uncertainty results, variations of P-factor values and frequency distribution curves of NS suggest that the simulation uncertainty increase when operating the Fengyun, 3B42RT, CMORPH_BLD and CMORPH_RAW-driven model with best fitted parameters for rain gauge SWAT model. The results also indicate that the influence of parameter uncertainty on model simulation results may be greater than the effect of input data accuracy. It is noted that uncertainty analysis is necessary to evaluate the hydrological applications of satellite-based precipitation datasets. © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108894
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: Henan Normal University, Xinxiang, Henan 453007, China; Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Shengbei Road 4888, Changchun, 130102, China; College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China
Recommended Citation:
Zhu H.,Li Y.,Huang Y.,et al. Evaluation and hydrological application of satellite-based precipitation datasets in driving hydrological models over the Huifa river basin in Northeast China[J]. Atmospheric Research,2018-01-01,207