Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2253-2020
https://doi.org/10.5194/hess-24-2253-2020
Research article
 | 
08 May 2020
Research article |  | 08 May 2020

Identifying uncertainties in hydrologic fluxes and seasonality from hydrologic model components for climate change impact assessments

Dongmei Feng and Edward Beighley

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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) (07 Jan 2020) by Hilary McMillan
AR by Dongmei Feng on behalf of the Authors (08 Jan 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (09 Jan 2020) by Hilary McMillan
RR by Anonymous Referee #2 (23 Feb 2020)
ED: Publish subject to minor revisions (review by editor) (16 Mar 2020) by Hilary McMillan
AR by Dongmei Feng on behalf of the Authors (17 Mar 2020)  Author's response   Manuscript 
ED: Publish as is (10 Apr 2020) by Hilary McMillan
AR by Dongmei Feng on behalf of the Authors (13 Apr 2020)  Manuscript 
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Short summary
Assessment of climate change impacts on hydrologic systems is critical for making adaptation strategies but subject to uncertainties from various sources. This study developed a framework to investigate such uncertainties from both hydrologic model components and climate forcings as well as associated parameterization. Results of this study reveal variable uncertainty compositions for different hydrological quantities and imply limited impact of hydrologic model parameter equifinality.