Articles | Volume 10, issue 1
Earth Syst. Dynam., 10, 31–43, 2019
Earth Syst. Dynam., 10, 31–43, 2019

Research article 07 Jan 2019

Research article | 07 Jan 2019

The effect of univariate bias adjustment on multivariate hazard estimates

Jakob Zscheischler et al.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

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
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.
Final-revised paper