Zobrazeno 1 - 10
of 44
pro vyhledávání: '"A. Denvil-Sommer"'
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 2995-3012 (2023)
Understanding the relationship between surface marine ecosystems and the export of carbon to depth by sinking organic particles is key to representing the effect of ecosystem dynamics and diversity, and their evolution under multiple stressors, on th
Externí odkaz:
https://doaj.org/article/ff78d863b97d4c219a0e710025fea418
Publikováno v:
Ocean Science, Vol 17, Pp 1011-1030 (2021)
To derive an optimal observation system for surface ocean pCO2 in the Atlantic Ocean and the Atlantic sector of the Southern Ocean, 11 observation system simulation experiments (OSSEs) were completed. Each OSSE is a feedforward neural network (FFNN)
Externí odkaz:
https://doaj.org/article/cba0020c1afb4d26ba216ebd34ffae19
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 2091-2105 (2019)
A new feed-forward neural network (FFNN) model is presented to reconstruct surface ocean partial pressure of carbon dioxide (pCO2) over the global ocean. The model consists of two steps: (1) the reconstruction of pCO2 climatology, and (2) the reconst
Externí odkaz:
https://doaj.org/article/5ad5231d8e26418dad07cfcadc405c62
Autor:
Denvil-Sommer, Anna1,2 (AUTHOR) anna.sommer.lab@gmail.com, Buitenhuis, Erik T.2 (AUTHOR), Kiko, Rainer3,4 (AUTHOR), Lombard, Fabien4,5 (AUTHOR), Guidi, Lionel4 (AUTHOR), Le Quéré, Corinne2 (AUTHOR)
Publikováno v:
Geoscientific Model Development. 2023, Vol. 16 Issue 10, p2995-3012. 18p.
Autor:
Anna Denvil-Sommer, Erik T. Buitenhuis, Rainer Kiko, Fabien Lombard, Lionel Guidi, Corinne Le Quéré
Understanding the relationship between surface marine ecosystems and the export of carbon to depth by sinking organic particles is key to representing the effect of ecosystem dynamics and diversity, and their evolution under multiple stressors, on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::150c8f1d0031a3c375c0a4cf3b9c5c1e
https://gmd.copernicus.org/preprints/gmd-2022-224/
https://gmd.copernicus.org/preprints/gmd-2022-224/
Autor:
Denvil-Sommer, Anna1 (AUTHOR) anna.sommer.lab@gmail.com, Gehlen, Marion1 (AUTHOR), Vrac, Mathieu1 (AUTHOR), Mejia, Carlos2 (AUTHOR)
Publikováno v:
Geoscientific Model Development. 2019, Vol. 12 Issue 5, p2091-2105. 15p.
Publikováno v:
Ocean Science
Ocean Science, European Geosciences Union, 2021, ⟨10.5194/os-2021-17⟩
Ocean Science, European Geosciences Union, 2021, ⟨10.5194/os-2021-17⟩
To derive an optimal observation system for surface ocean pCO2 in the Atlantic Ocean and the Atlantic sector of the Southern Ocean eleven Observation System Simulation Experiments (OSSEs) were completed. Each OSSE is a Feed-Forward Neural Network (FF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::606db65d826de7b2e6fcf62df5c4db0f
https://hal.archives-ouvertes.fr/hal-03382169
https://hal.archives-ouvertes.fr/hal-03382169
Publikováno v:
Ocean Science
Ocean Science, European Geosciences Union, 2021, 17 (4), pp.1011-1030. ⟨10.5194/os-17-1011-2021⟩
Ocean Science (1812-0784) (Copernicus Gesellschaft Mbh), 2021-08, Vol. 17, N. 4, P. 1011-1030
Ocean Science, 2021, 17 (4), pp.1011-1030. ⟨10.5194/os-17-1011-2021⟩
Ocean Science, European Geosciences Union, 2021, 17 (4), pp.1011-1030. ⟨10.5194/os-17-1011-2021⟩
Ocean Science (1812-0784) (Copernicus Gesellschaft Mbh), 2021-08, Vol. 17, N. 4, P. 1011-1030
Ocean Science, 2021, 17 (4), pp.1011-1030. ⟨10.5194/os-17-1011-2021⟩
To derive an optimal observation system for surface ocean pCO2 in the Atlantic Ocean and the Atlantic sector of the Southern Ocean, 11 observation system simulation experiments (OSSEs) were completed. Each OSSE is a feedforward neural network (FFNN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::420d75e7ba751ba272c07a94dd027d01
https://hal.archives-ouvertes.fr/hal-03317906
https://hal.archives-ouvertes.fr/hal-03317906