Articles | Volume 20, issue 4
https://doi.org/10.5194/hess-20-1483-2016
© Author(s) 2016. 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-20-1483-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods
Arelia T. Werner
CORRESPONDING AUTHOR
Pacific Climate Impacts Consortium, Victoria, British Columbia, Canada
Alex J. Cannon
Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
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Latest update: 13 Dec 2024
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.
Seven gridded statistical downscaling methods are tested for strength in simulating climate and...