Journal cover Journal topic
Earth System Dynamics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.769 IF 3.769
  • IF 5-year value: 4.522 IF 5-year
    4.522
  • CiteScore value: 4.14 CiteScore
    4.14
  • SNIP value: 1.170 SNIP 1.170
  • SJR value: 2.253 SJR 2.253
  • IPP value: 3.86 IPP 3.86
  • h5-index value: 26 h5-index 26
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 22 Scimago H
    index 22
ESD | Articles | Volume 10, issue 1
Earth Syst. Dynam., 10, 31-43, 2019
https://doi.org/10.5194/esd-10-31-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Dynam., 10, 31-43, 2019
https://doi.org/10.5194/esd-10-31-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Jan 2019

Research article | 07 Jan 2019

The effect of univariate bias adjustment on multivariate hazard estimates

Jakob Zscheischler et al.
Download
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
Publications Copernicus
Download
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.
Many climate models have biases in different variables throughout the world. Adjusting these...
Citation
Share