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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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ACP | Articles | Volume 19, issue 22
Atmos. Chem. Phys., 19, 13911–13932, 2019
https://doi.org/10.5194/acp-19-13911-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Data assimilation in carbon/biogeochemical cycles: consistent...

Atmos. Chem. Phys., 19, 13911–13932, 2019
https://doi.org/10.5194/acp-19-13911-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 19 Nov 2019

Review article | 19 Nov 2019

Fundamentals of data assimilation applied to biogeochemistry

Peter J. Rayner et al.

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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
AR by Peter Rayner on behalf of the Authors (10 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Jun 2019) by Marko Scholze
RR by Anonymous Referee #1 (11 Jul 2019)
ED: Publish subject to technical corrections (29 Jul 2019) by Marko Scholze
AR by Peter Rayner on behalf of the Authors (06 Aug 2019)  Author's response    Manuscript
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Short summary
This paper describes the methods for combining models and data to understand how nutrients and pollutants move through natural systems. The methods are analogous to the process of weather forecasting in which previous information is combined with new observations and a model to improve our knowledge of the internal state of the physical system. The methods appear highly diverse but the paper shows that they are all examples of a single underlying formalism.
This paper describes the methods for combining models and data to understand how nutrients and...
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