Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-75-2020
https://doi.org/10.5194/hess-24-75-2020
Research article
 | 
08 Jan 2020
Research article |  | 08 Jan 2020

A global-scale evaluation of extreme event uncertainty in the eartH2Observe project

Toby R. Marthews, Eleanor M. Blyth, Alberto Martínez-de la Torre, and Ted I. E. Veldkamp

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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
ED: Reconsider after major revisions (further review by editor and referees) (15 May 2019) by Patricia Saco
AR by Anna Wenzel on behalf of the Authors (22 May 2019)  Author's response
ED: Referee Nomination & Report Request started (07 Jun 2019) by Patricia Saco
RR by Anonymous Referee #2 (27 Jun 2019)
RR by Anonymous Referee #3 (03 Oct 2019)
ED: Publish subject to revisions (further review by editor and referees) (07 Oct 2019) by Patricia Saco
AR by Anna Wenzel on behalf of the Authors (08 Nov 2019)  Author's response    Manuscript
ED: Publish as is (02 Dec 2019) by Patricia Saco
AR by Toby Marthews on behalf of the Authors (05 Dec 2019)  Author's response    Manuscript
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Short summary
Climate change impact modellers can only act on predictions of the occurrence of an extreme event in the Earth system if they know the uncertainty in that prediction and how uncertainty is attributable to different model components. Using eartH2Observe data, we quantify the balance between different sources of uncertainty in global evapotranspiration and runoff, making a crucial contribution to understanding the spatial distribution of water resources allocation deficiencies.