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

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

doi:https://doi.org/10.5194/bg-17-1199-2020

Articles | Volume 17, issue 4

https://doi.org/10.5194/bg-17-1199-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-17-1199-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 4

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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Final revised paper (published on 03 Mar 2020)
Preprint (discussion started on 03 Jun 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of bg-2019-177', Anonymous Referee #1, 06 Jul 2019
- AC1: 'Reply to the Editor and Reviewer#1 - Simulation of factors affecting E.huxleyi blooms in arctic and subarctic seas by CMIP5 climate models: model validation and selection, by Natalia Gnatiuk et al. MS No.: bg-2019-177', Natalia Gnatiuk, 05 Aug 2019
RC2: 'Review of “Simulation of factors affecting E. huxleyi blooms in arctic and subarctic seas by CMIP5 climate models: model validation and selection” by Gnatiuk et al.', Anonymous Referee #2, 09 Jul 2019
- AC2: 'Reply to the Editor and Reviewer#2 - Simulation of factors affecting E.huxleyi blooms in arctic and subarctic seas by CMIP5 climate models: model validation and selection, by Natalia Gnatiuk et al. MS No.: bg-2019-177', Natalia Gnatiuk, 05 Aug 2019

Peer-review completion

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

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.