Articles | Volume 19, issue 6
https://doi.org/10.5194/hess-19-2547-2015
https://doi.org/10.5194/hess-19-2547-2015
Research article
 | 
02 Jun 2015
Research article |  | 02 Jun 2015

Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China

G. H. Fang, J. Yang, Y. N. Chen, and C. Zammit

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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.