Fundamentals of data assimilation applied to biogeochemistry
<p>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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-11-01
|
| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/19/13911/2019/acp-19-13911-2019.pdf |
| _version_ | 1819136239241003008 |
|---|---|
| author | P. J. Rayner A. M. Michalak F. Chevallier |
| author_facet | P. J. Rayner A. M. Michalak F. Chevallier |
| author_sort | P. J. Rayner |
| collection | DOAJ |
| description | <p>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.</p> |
| first_indexed | 2024-12-22T10:31:49Z |
| format | Article |
| id | doaj.art-c65d1fd99df74bdd9d83eb5eacfebc34 |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-22T10:31:49Z |
| publishDate | 2019-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-c65d1fd99df74bdd9d83eb5eacfebc342022-12-21T18:29:18ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-11-0119139111393210.5194/acp-19-13911-2019Fundamentals of data assimilation applied to biogeochemistryP. J. Rayner0A. M. Michalak1F. Chevallier2School of Earth Sciences, University of Melbourne, Melbourne, AustraliaDepartment of Global Ecology, Carnegie Institution for Science, Stanford, USALaboratoire des Sciences du Climat et de l'Environnement, Gif-sur-Yvette, France<p>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.</p>https://www.atmos-chem-phys.net/19/13911/2019/acp-19-13911-2019.pdf |
| spellingShingle | P. J. Rayner A. M. Michalak F. Chevallier Fundamentals of data assimilation applied to biogeochemistry Atmospheric Chemistry and Physics |
| title | Fundamentals of data assimilation applied to biogeochemistry |
| title_full | Fundamentals of data assimilation applied to biogeochemistry |
| title_fullStr | Fundamentals of data assimilation applied to biogeochemistry |
| title_full_unstemmed | Fundamentals of data assimilation applied to biogeochemistry |
| title_short | Fundamentals of data assimilation applied to biogeochemistry |
| title_sort | fundamentals of data assimilation applied to biogeochemistry |
| url | https://www.atmos-chem-phys.net/19/13911/2019/acp-19-13911-2019.pdf |
| work_keys_str_mv | AT pjrayner fundamentalsofdataassimilationappliedtobiogeochemistry AT ammichalak fundamentalsofdataassimilationappliedtobiogeochemistry AT fchevallier fundamentalsofdataassimilationappliedtobiogeochemistry |