Articles | Volume 17, issue 4
https://doi.org/10.5194/bg-17-1199-2020
https://doi.org/10.5194/bg-17-1199-2020
Research article
 | 
03 Mar 2020
Research article |  | 03 Mar 2020

Simulation of factors affecting Emiliania huxleyi blooms in Arctic and sub-Arctic seas by CMIP5 climate models: model validation and selection

Natalia Gnatiuk, Iuliia Radchenko, Richard Davy, Evgeny Morozov, and Leonid Bobylev

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (20 Aug 2019) by Christoph Heinze
AR by Natalia Gnatiuk on behalf of the Authors (24 Sep 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Oct 2019) by Christoph Heinze
RR by Anonymous Referee #1 (07 Nov 2019)
ED: Reconsider after major revisions (20 Nov 2019) by Christoph Heinze
AR by Natalia Gnatiuk on behalf of the Authors (25 Dec 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (14 Jan 2020) by Christoph Heinze
AR by Natalia Gnatiuk on behalf of the Authors (20 Jan 2020)  Author's response    Manuscript
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Short summary
We analysed the ability of 34 climate models to reproduce main factors affecting the coccolithophore Emiliania huxleyi blooms in six Arctic and sub-Arctic seas. Furthermore, we proposed a procedure of ranking and selecting these models based on the model’s skill in reproducing 10 important oceanographic, meteorological, and biochemical variables in comparison with observation data and demonstrated that the proposed methodology shows a better result than commonly used all-model averaging.
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