Articles | Volume 12, issue 8
Geosci. Model Dev., 12, 3419–3438, 2019
https://doi.org/10.5194/gmd-12-3419-2019
Geosci. Model Dev., 12, 3419–3438, 2019
https://doi.org/10.5194/gmd-12-3419-2019

Model evaluation paper 05 Aug 2019

Model evaluation paper | 05 Aug 2019

Climate projections of a multivariate heat stress index: the role of downscaling and bias correction

Ana Casanueva et al.

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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
AR by Ana Casanueva on behalf of the Authors (09 May 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 May 2019) by Lauren Gregoire
RR by Anonymous Referee #2 (03 Jun 2019)
ED: Publish subject to minor revisions (review by editor) (01 Jul 2019) by Lauren Gregoire
AR by Ana Casanueva on behalf of the Authors (11 Jul 2019)  Author's response    Manuscript
ED: Publish as is (15 Jul 2019) by Lauren Gregoire
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Short summary
Given the large number of available data sets and products currently produced for climate impact studies, it is challenging to distil the most accurate and useful information for climate services. This work presents a comparison of methods widely used to generate climate projections, from different sources and at different spatial resolutions, in order to assess the role of downscaling and statistical post-processing (bias correction).