Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-1775-2018
https://doi.org/10.5194/hess-22-1775-2018
Research article
 | 
12 Mar 2018
Research article |  | 12 Mar 2018

Mapping (dis)agreement in hydrologic projections

Lieke A. Melsen, Nans Addor, Naoki Mizukami, Andrew J. Newman, Paul J. J. F. Torfs, Martyn P. Clark, Remko Uijlenhoet, and Adriaan J. Teuling

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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 minor revisions (review by editor) (08 Dec 2017) by Stacey Archfield
AR by Lieke Melsen on behalf of the Authors (22 Dec 2017)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (17 Jan 2018) by Stacey Archfield
AR by Lieke Melsen on behalf of the Authors (22 Jan 2018)  Author's response   Manuscript 
ED: Publish as is (09 Feb 2018) by Stacey Archfield
AR by Lieke Melsen on behalf of the Authors (13 Feb 2018)  Manuscript 
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Short summary
Long-term hydrological predictions are important for water management planning, but are also prone to uncertainty. This study investigates three sources of uncertainty for long-term hydrological predictions in the US: climate models, hydrological models, and hydrological model parameters. Mapping the results revealed spatial patterns in the three sources of uncertainty: different sources of uncertainty dominate in different regions.