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Discussion papers
https://doi.org/10.5194/essd-2018-101
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-101
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  04 Oct 2018

04 Oct 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

A synthetic satellite dataset of E. huxleyi spatio-temporal distributions and their impacts on Arctic and Subarctic marine environments (1998–2016)

Dmitry Kondrik, Eduard Kazakov, and Dmitry Pozdnyakov Dmitry Kondrik et al.
  • Nansen International Environmental and Remote Sensing Centre, Saint Petersburg, 199034, Russian Federation

Abstract. A 19-year (1998–2016) continuous dataset of coccolithophore E. huxleyi distributions and activity in Arctic and Subarctic seas is presented. The dataset is based on optical remote sensing data (mostly OC CCI data) with assimilation of different relevant in-situ observations, preprocessed with authorial algorithms. Alongside with bloom locations, we also provide both detailed information on E. huxleyi impacts within the bloom area on marine environments and the subdatasets of quantified coccolith concentrations, particulate inorganic carbon content and CO2 partial pressure in water driven by coccolithophores. All data are presented on a regular 4×4km grid at a temporal resolution of 8 days. The paper describes the theoretical and methodological basis for all processing and modeling steps. The data are available on Zenodo: https://doi.org/10.5281/zenodo.1402033.

Dmitry Kondrik et al.
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Dmitry Kondrik et al.
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Dataset of E. huxleyi blooms: spatio-temporal distribution and their impact on high-latitudinal marine environments (1998-2016) D. Kondrik, E. Kazakov, and D. Pozdnyakov https://doi.org/10.5281/zenodo.1402033

Dmitry Kondrik et al.
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Latest update: 12 Dec 2018
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Short summary
Paper presents a description of the original database of blooms of the calcifying phytoplankton in subarctic and arctic seas, their spatio-temporal features and associated environmental influence. This type of phytoplankton is efficient in decreasing the ability of the ocean to intake external carbon dioxide and hence to amplification of the greenhouse effect. Published database can be used by a wide community of users involved in studies of both aquatic ecology and carbon cycles.
Paper presents a description of the original database of blooms of the calcifying phytoplankton...
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