Evaluation of reanalysis and satellite-based precipitation datasets in driving hydrological models in a humid region of Southern China

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• 作者：Hongliang Xu ; Chong-Yu Xu ; Nils Roar S?lthun…
• 关键词：Tropical rainfall measuring mission (TRMM) 3B42 ; Water and global change forcing data (WFD) ; Xinanjiang model ; Soil and water assessment tool (SWAT)
• 刊名：Stochastic Environmental Research and Risk Assessment (SERRA)
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：29
• 期：8
• 页码：2003-2020
• 全文大小：1,876 KB
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• 作者单位：Hongliang Xu (1) (2)
  Chong-Yu Xu (1) (3)
  Nils Roar S?lthun (1)
  Bin Zhou (4) (5)
  Youpeng Xu (2)
  
  1. Department of Geosciences, University of Oslo, PO Box 1047, Blindern, 0316, Oslo, Norway
  2. Department of Land Resources and Tourism, Nanjing University, 22 Hankou Road Nanjing, Nanjing, 210093, Jiangsu, People’s Republic of China
  3. Department of Hydrology and Water Resources, Wuhan University, Wuhan, People’s Republic of China
  4. Department of Chemistry, University of Oslo, Oslo, Norway
  5. Tianjin Academy of Environmental Sciences, 17 Fukang Road, Tianjin, People’s Republic of China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Mathematical Applications in Environmental Science
  Mathematical Applications in Geosciences
  Probability Theory and Stochastic Processes
  Statistics for Engineering, Physics, Computer Science, Chemistry and Geosciences
  Numerical and Computational Methods in Engineering
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1436-3259

文摘

This paper compares the original and bias corrected global gridded precipitation datasets, tropical rainfall measuring mission (TRMM) and water and global change forcing data (WFD) with gauged precipitation and evaluates the usefulness of gridded precipitation datasets for hydrological simulations using the distributed soil and water assessment tool (SWAT) and lumped Xinanjiang model in Xiangjiang River basin, Southern China. The results show that the differences in areal mean rainfalls of original TRMM and WFD datasets and gauged dataset are in acceptable limits of less than 10 %, while larger differences exist in maximal 5-day rainfalls, dry spells and Fréchet distance. The bias correction methods are able to significantly improve the biases in the mean values of TRMM and WFD datasets. The nonlinear bias correction method gives good results in correcting the standard deviations of TRMM/WFD data. The hydrological modelling results show that the WFD datasets perform relatively better than TRMM datasets even though the results are poor as compared with using gauged rainfall as input in daily step hydrological models. At monthly time step, both TRMM and WFD data produce acceptable model simulation results in terms of Nash–Sutcliffe efficiency (E _ns > 0.7 for original TRMM/WFD data and E _ns > 0.8 for linearly corrected TRMM/WFD data) and relative error (|R _E | < 10 %). Keywords Tropical rainfall measuring mission (TRMM) 3B42 Water and global change forcing data (WFD) Xinanjiang model Soil and water assessment tool (SWAT)