Articles | Volume 19, issue 22
https://doi.org/10.5194/acp-19-13911-2019
https://doi.org/10.5194/acp-19-13911-2019
Review article
 | 
19 Nov 2019
Review article |  | 19 Nov 2019

Fundamentals of data assimilation applied to biogeochemistry

Peter J. Rayner, Anna M. Michalak, and Frédéric Chevallier

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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 
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.
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