Articles | Volume 19, issue 6
https://doi.org/10.5194/hess-19-2547-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-2547-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China
G. H. Fang
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China
University of Chinese Academy of Sciences, Beijing, China
Department of Geography, Ghent University, Ghent, Belgium
J. Yang
CORRESPONDING AUTHOR
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China
National Institute of Water and Atmospheric Research, Christchurch, New Zealand
Y. N. Chen
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China
C. Zammit
National Institute of Water and Atmospheric Research, Christchurch, New Zealand
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Short summary
This study compares the effects of five precipitation and three temperature correction methods on precipitation, temperature, and streamflow through loosely coupling RCM (RegCM) and a distributed hydrological model (SWAT) in terms of frequency-based indices and time-series-based indices. The methodology and results can be used for other regions and other RCM and hydrologic models, and for impact studies of climate change on water resources at a regional scale.
This study compares the effects of five precipitation and three temperature correction methods...