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Biogeosciences An interactive open-access journal of the European Geosciences Union
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Volume 15, issue 1
Biogeosciences, 15, 73–90, 2018
https://doi.org/10.5194/bg-15-73-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 15, 73–90, 2018
https://doi.org/10.5194/bg-15-73-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Jan 2018

Research article | 04 Jan 2018

Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea

Daniel E. Kaufman 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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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (20 Oct 2017) by Marilaure Grégoire
AR by Daniel Kaufman on behalf of the Authors (20 Oct 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Nov 2017) by Marilaure Grégoire
RR by M.E. Gharamti (06 Nov 2017)
RR by Anonymous Referee #2 (07 Nov 2017)
ED: Publish subject to minor revisions (review by editor) (19 Nov 2017) by Marilaure Grégoire
AR by Daniel Kaufman on behalf of the Authors (22 Nov 2017)  Author's response    Manuscript
ED: Publish as is (22 Nov 2017) by Marilaure Grégoire
Publications Copernicus
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Short summary
Computer simulations of the highly variable phytoplankton in the Ross Sea demonstrated how incorporating data from different sources (satellite, ship, or glider) results in different system interpretations. For example, simulations assimilating satellite-based data produced lower carbon export estimates. Combining observations with models in this remote, harsh, and biologically variable environment should include consideration of the potential impacts of data frequency, duration, and coverage.
Computer simulations of the highly variable phytoplankton in the Ross Sea demonstrated how...
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