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The Cryosphere An interactive open-access journal of the European Geosciences Union
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TC | Volume 13, issue 7
The Cryosphere, 13, 2001–2022, 2019
https://doi.org/10.5194/tc-13-2001-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 2001–2022, 2019
https://doi.org/10.5194/tc-13-2001-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 19 Jul 2019

Research article | 19 Jul 2019

Induced surface fluxes: a new framework for attributing Arctic sea ice volume balance biases to specific model errors

Alex West 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
AR by Anna Wenzel on behalf of the Authors (30 Oct 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 Nov 2018) by Dirk Notz
RR by Francois Massonnet (19 Nov 2018)
RR by Anonymous Referee #1 (14 Dec 2018)
ED: Reconsider after major revisions (18 Dec 2018) by Dirk Notz
AR by Alex West on behalf of the Authors (05 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Mar 2019) by Dirk Notz
RR by Francois Massonnet (12 Apr 2019)
RR by Anonymous Referee #1 (10 May 2019)
ED: Publish subject to minor revisions (review by editor) (14 May 2019) by Dirk Notz
AR by Alex West on behalf of the Authors (28 May 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (29 May 2019) by Dirk Notz
AR by Alex West on behalf of the Authors (18 Jun 2019)  Author's response    Manuscript
Publications Copernicus
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Short summary
This study presents a framework for examining the causes of model errors in Arctic sea ice volume, using HadGEM2-ES as a case study. Simple models are used to estimate how much of the error in energy arriving at the ice surface is due to error in key Arctic climate variables. The method quantifies how each variable affects sea ice volume balance and shows that for HadGEM2-ES an annual mean low bias in ice thickness is likely due to errors in surface melt onset.
This study presents a framework for examining the causes of model errors in Arctic sea ice...
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