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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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Associated Dataset: Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. E. Kaufman, M. A. M. Friedrichs, J. C. P. Hemmings, and W. O. Smith https://doi.org/10.21220/V5RT5C

Glider data from the southern Ross Sea collected from the iRobot Seaglider during the RVIB Nathaniel B. Palmer (AUV-SG-503-2012, NBP1210) cruises in 2012 (Penguin Glider project) W. O. Smith Jr. http://lod.bco-dmo.org/id/dataset/568868

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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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