Articles | Volume 19, issue 22
https://doi.org/10.5194/acp-19-13911-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-13911-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
19 Nov 2019
Review article |
| 19 Nov 2019
| 19 Nov 2019
Fundamentals of data assimilation applied to biogeochemistry
School of Earth Sciences, University of Melbourne,
Melbourne, Australia
Anna M. Michalak
Department of Global Ecology, Carnegie Institution for Science,
Stanford, USA
Frédéric Chevallier
Laboratoire des Sciences du Climat et de l'Environnement,
Gif-sur-Yvette, France
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Latest update: 18 Apr 2024
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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