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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 19, issue 7
Hydrol. Earth Syst. Sci., 19, 3153–3179, 2015
https://doi.org/10.5194/hess-19-3153-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 3153–3179, 2015
https://doi.org/10.5194/hess-19-3153-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Jul 2015

Research article | 20 Jul 2015

Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework

M. S. Raleigh et al.

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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 (24 Apr 2015) by Ross Woods
AR by Mark Raleigh on behalf of the Authors (20 May 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 May 2015) by Ross Woods
RR by Richard L.H. Essery (31 May 2015)
RR by Francesca Pianosi (05 Jun 2015)
ED: Publish subject to minor revisions (Editor review) (10 Jun 2015) by Ross Woods
AR by Mark Raleigh on behalf of the Authors (17 Jun 2015)  Author's response    Manuscript
ED: Publish as is (18 Jun 2015) by Ross Woods
Publications Copernicus
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Short summary
A sensitivity analysis is used to examine how error characteristics (type, distributions, and magnitudes) in meteorological forcing data impact outputs from a physics-based snow model in four climates. Bias and error magnitudes were key factors in model sensitivity and precipitation bias often dominated. However, the relative importance of forcings depended somewhat on the selected model output. Forcing uncertainty was comparable to model structural uncertainty as found in other studies.
A sensitivity analysis is used to examine how error characteristics (type, distributions, and...
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