Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 21, issue 6
Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2649-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2649-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 21, issue 6
Research article
 | 
06 Jun 2017
Research article |  | 06 Jun 2017

Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes

Matthew B. Switanek, Peter A. Troch, Christopher L. Castro, Armin Leuprecht, Hsin-I Chang, Rajarshi Mukherjee, and Eleonora M. C. Demaria

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Short summary
The commonly used bias correction method called quantile mapping assumes a constant function of error correction values between modeled and observed distributions. Our article finds that this function cannot be assumed to be constant. We propose a new bias correction method, called scaled distribution mapping, that does not rely on this assumption. Furthermore, the proposed method more explicitly accounts for the frequency of rain days and the likelihood of individual events.
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