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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/acp-2018-1081
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2018-1081
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: review article 30 Oct 2018

Submitted as: review article | 30 Oct 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Atmospheric Chemistry and Physics (ACP) and is expected to appear here in due course.

Fundamentals of Data Assimilation applied to biogeochemistry

Peter J. Rayner1, Anna M. Michalak2, and Frédéric Chevallier3 Peter J. Rayner et al.
  • 1School of Earth Sciences, University of Melbourne, Melbourne, Australia
  • 2Department of Global Ecology, Carnegie Institution for Science, Stanford, USA
  • 3Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France

Abstract. This article lays out the fundamentals of data assimilation as used in biogeochemistry. It demonstrates that all of the methods in widespread use within the field are special cases of the underlying Bayesian formalism. Methods differ in the assumptions they make and information they provide on the probability distributions used in Bayesian calculations. It thus provides a basis for comparison and choice among these methods. It also provides a standardised notation for the various quantities used in the field.

Peter J. Rayner 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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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Peter J. Rayner et al.
Peter J. Rayner et al.
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