Articles | Volume 21, issue 6
Research article
17 Jun 2021
Research article |  | 17 Jun 2021

Towards a compound-event-oriented climate model evaluation: a decomposition of the underlying biases in multivariate fire and heat stress hazards

Roberto Villalobos-Herrera, Emanuele Bevacqua, Andreia F. S. Ribeiro, Graeme Auld, Laura Crocetti, Bilyana Mircheva, Minh Ha, Jakob Zscheischler, and Carlo De Michele


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (26 Feb 2021) by Ricardo Trigo
AR by Roberto Villalobos Herrera on behalf of the Authors (23 Mar 2021)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (24 Mar 2021) by Ricardo Trigo
RR by Anonymous Referee #1 (21 Apr 2021)
ED: Publish as is (06 May 2021) by Ricardo Trigo
AR by Roberto Villalobos Herrera on behalf of the Authors (11 May 2021)  Author's response   Manuscript 
Short summary
Climate hazards may be caused by events which have multiple drivers. Here we present a method to break down climate model biases in hazard indicators down to the bias caused by each driving variable. Using simplified fire and heat stress indicators driven by temperature and relative humidity as examples, we show how multivariate indicators may have complex biases and that the relationship between driving variables is a source of bias that must be considered in climate model bias corrections.
Final-revised paper