Articles | Volume 21, issue 6
Hydrol. Earth Syst. Sci., 21, 2649–2666, 2017
https://doi.org/10.5194/hess-21-2649-2017
Hydrol. Earth Syst. Sci., 21, 2649–2666, 2017
https://doi.org/10.5194/hess-21-2649-2017

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 et al.

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Latest update: 02 Dec 2021
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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.