Articles | Volume 20, issue 4
https://doi.org/10.5194/hess-20-1483-2016
https://doi.org/10.5194/hess-20-1483-2016
Research article
 | 
19 Apr 2016
Research article |  | 19 Apr 2016

Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods

Arelia T. Werner and Alex J. Cannon

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Short summary
Seven gridded statistical downscaling methods are tested for strength in simulating climate and hydrologic extremes. A recently developed technique, which is a post-processed version of bias corrected constructed analogues where the final bias correction is based on the bias corrected climate imprint method, is shown to be an especially strong method for hydrologic extremes versus other more commonly applied methods, including the popular bias corrected spatial disaggregation method.