Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-773-2019
https://doi.org/10.5194/hess-23-773-2019
Research article
 | 
12 Feb 2019
Research article |  | 12 Feb 2019

Multivariate stochastic bias corrections with optimal transport

Yoann Robin, Mathieu Vrac, Philippe Naveau, and Pascal Yiou

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Latest update: 26 Feb 2024
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Short summary
Bias correction methods are used to calibrate climate model outputs with respect to observations. In this article, a non-stationary, multivariate and stochastic bias correction method is developed based on optimal transport, accounting for inter-site and inter-variable correlations. Optimal transport allows us to construct a joint distribution that minimizes energy spent in bias correction. Our methodology is tested on precipitation and temperatures over 12 locations in southern France.