Articles | Volume 25, issue 3
Research article
26 Mar 2021
Research article |  | 26 Mar 2021

Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates

Samuel Saxe, William Farmer, Jessica Driscoll, and Terri S. Hogue


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: Publish subject to revisions (further review by editor and referees) (23 Sep 2020) by Adriaan J. (Ryan) Teuling
AR by Samuel Saxe on behalf of the Authors (10 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (10 Nov 2020) by Adriaan J. (Ryan) Teuling
RR by Nans Addor (19 Nov 2020)
RR by Janneke Remmers (02 Dec 2020)
ED: Publish subject to minor revisions (review by editor) (04 Dec 2020) by Adriaan J. (Ryan) Teuling
AR by Samuel Saxe on behalf of the Authors (16 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (11 Jan 2021) by Adriaan J. (Ryan) Teuling
Short summary
We compare simulated values from 47 models estimating surface water over the USA. Results show that model uncertainty is substantial over much of the conterminous USA and especially high in the west. Applying the studied models to a simple water accounting equation shows that model selection can significantly affect research results. This paper concludes that multimodel ensembles help to best represent uncertainty in conclusions and suggest targeted research efforts in arid regions.