Articles | Volume 10, issue 1
https://doi.org/10.5194/esd-10-31-2019
https://doi.org/10.5194/esd-10-31-2019
Research article
 | 
07 Jan 2019
Research article |  | 07 Jan 2019

The effect of univariate bias adjustment on multivariate hazard estimates

Jakob Zscheischler, Erich M. Fischer, and Stefan Lange

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (14 Nov 2018) by Ben Kravitz
AR by Jakob Zscheischler on behalf of the Authors (23 Nov 2018)  Author's response    Manuscript
ED: Publish as is (26 Nov 2018) by Ben Kravitz
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Short summary
Many climate models have biases in different variables throughout the world. Adjusting these biases is necessary for estimating climate impacts. Here we demonstrate that widely used univariate bias adjustment methods do not work well for multivariate impacts. We illustrate this problem using fire risk and heat stress as impact indicators. Using an approach that adjusts not only biases in the individual climate variables but also biases in the correlation between them can resolve these problems.
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