Articles | Volume 9, issue 1
https://doi.org/10.5194/os-9-37-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-9-37-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Jan 2013
Research article |
| 16 Jan 2013
Toward a multivariate reanalysis of the North Atlantic Ocean biogeochemistry during 1998–2006 based on the assimilation of SeaWiFS chlorophyll data
C. Fontana
Université Pierre Marie Curie, Laboratoire d'Océanographie de Villefranche – UMR 7093, Villefranche sur mer, France
P. Brasseur
CNRS, Laboratoire de Glaciologie et Géophysique de l'Environnement – UMR 5183, Grenoble, France
J.-M. Brankart
CNRS, Laboratoire de Glaciologie et Géophysique de l'Environnement – UMR 5183, Grenoble, France
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Cited
20 citations as recorded by crossref.
- Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean Y. Santana-Falcón et al. https://doi.org/10.5194/os-16-1297-2020
- Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux https://doi.org/10.3389/fmars.2017.00060
- Ocean Biogeochemical Predictions—Initialization and Limits of Predictability F. Fransner et al. https://doi.org/10.3389/fmars.2020.00386
- Towards operational 3D-Var assimilation of chlorophyll Biogeochemical-Argo float data into a biogeochemical model of the Mediterranean Sea G. Cossarini et al. https://doi.org/10.1016/j.ocemod.2018.11.005
- Numerical models for monitoring and forecasting ocean biogeochemistry: a short description of present status G. Cossarini et al. https://doi.org/10.5194/sp-5-opsr-12-2025
- Assimilation of coastal and open sea biogeochemical data to improve phytoplankton simulation in the Mediterranean Sea A. Teruzzi et al. https://doi.org/10.1016/j.ocemod.2018.09.007
- Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling S. Ciavatta et al. https://doi.org/10.1016/j.pocean.2014.06.002
- Synthesis of new scientific challenges for GODAE OceanView A. Schiller et al. https://doi.org/10.1080/1755876X.2015.1049901
- Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford https://doi.org/10.5194/bg-18-509-2021
- Can assimilation of satellite observations improve subsurface biological properties in a numerical model? A case study for the Gulf of Mexico B. Wang et al. https://doi.org/10.5194/os-17-1141-2021
- Improving the prediction of ecosystem indicators by assimilating biogeochemical data from multiplatform observing systems G. Cossarini et al. https://doi.org/10.1016/j.ocemod.2026.102805
- Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al. https://doi.org/10.1016/j.jmarsys.2015.10.012
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. https://doi.org/10.1029/2020RG000715
- Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela https://doi.org/10.1016/j.rse.2017.03.040
- Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment A. Teruzzi et al. https://doi.org/10.5194/bg-18-6147-2021
- Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling L. Yu et al. https://doi.org/10.1016/j.ocemod.2018.04.005
- Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. https://doi.org/10.1016/j.asr.2016.03.008
- Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. https://doi.org/10.1002/2015JC011496
- Data assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sites S. Kalaroni et al. https://doi.org/10.1016/j.jmarsys.2016.03.018
- Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al. https://doi.org/10.5194/bg-14-2113-2017
20 citations as recorded by crossref.
- Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean Y. Santana-Falcón et al. https://doi.org/10.5194/os-16-1297-2020
- Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux https://doi.org/10.3389/fmars.2017.00060
- Ocean Biogeochemical Predictions—Initialization and Limits of Predictability F. Fransner et al. https://doi.org/10.3389/fmars.2020.00386
- Towards operational 3D-Var assimilation of chlorophyll Biogeochemical-Argo float data into a biogeochemical model of the Mediterranean Sea G. Cossarini et al. https://doi.org/10.1016/j.ocemod.2018.11.005
- Numerical models for monitoring and forecasting ocean biogeochemistry: a short description of present status G. Cossarini et al. https://doi.org/10.5194/sp-5-opsr-12-2025
- Assimilation of coastal and open sea biogeochemical data to improve phytoplankton simulation in the Mediterranean Sea A. Teruzzi et al. https://doi.org/10.1016/j.ocemod.2018.09.007
- Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling S. Ciavatta et al. https://doi.org/10.1016/j.pocean.2014.06.002
- Synthesis of new scientific challenges for GODAE OceanView A. Schiller et al. https://doi.org/10.1080/1755876X.2015.1049901
- Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford https://doi.org/10.5194/bg-18-509-2021
- Can assimilation of satellite observations improve subsurface biological properties in a numerical model? A case study for the Gulf of Mexico B. Wang et al. https://doi.org/10.5194/os-17-1141-2021
- Improving the prediction of ecosystem indicators by assimilating biogeochemical data from multiplatform observing systems G. Cossarini et al. https://doi.org/10.1016/j.ocemod.2026.102805
- Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al. https://doi.org/10.1016/j.jmarsys.2015.10.012
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. https://doi.org/10.1029/2020RG000715
- Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela https://doi.org/10.1016/j.rse.2017.03.040
- Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment A. Teruzzi et al. https://doi.org/10.5194/bg-18-6147-2021
- Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling L. Yu et al. https://doi.org/10.1016/j.ocemod.2018.04.005
- Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. https://doi.org/10.1016/j.asr.2016.03.008
- Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. https://doi.org/10.1002/2015JC011496
- Data assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sites S. Kalaroni et al. https://doi.org/10.1016/j.jmarsys.2016.03.018
- Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al. https://doi.org/10.5194/bg-14-2113-2017
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