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
19 citations as recorded by crossref.
- Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean Y. Santana-Falcón et al.
- Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux
- Ocean Biogeochemical Predictions—Initialization and Limits of Predictability F. Fransner et al.
- Towards operational 3D-Var assimilation of chlorophyll Biogeochemical-Argo float data into a biogeochemical model of the Mediterranean Sea G. Cossarini et al.
- Assimilation of coastal and open sea biogeochemical data to improve phytoplankton simulation in the Mediterranean Sea A. Teruzzi et al.
- Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling S. Ciavatta et al.
- Synthesis of new scientific challenges for GODAE OceanView A. Schiller et al.
- Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford
- 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.
- Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al.
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al.
- Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela
- Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment A. Teruzzi et al.
- 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.
- An Ensemble-Based Probabilistic Score Approach to Compare Observation Scenarios: An Application to Biogeochemical-Argo Deployments C. Germineaud et al.
- Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al.
- Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al.
- Data assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sites S. Kalaroni et al.
- Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al.
19 citations as recorded by crossref.
- Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean Y. Santana-Falcón et al.
- Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux
- Ocean Biogeochemical Predictions—Initialization and Limits of Predictability F. Fransner et al.
- Towards operational 3D-Var assimilation of chlorophyll Biogeochemical-Argo float data into a biogeochemical model of the Mediterranean Sea G. Cossarini et al.
- Assimilation of coastal and open sea biogeochemical data to improve phytoplankton simulation in the Mediterranean Sea A. Teruzzi et al.
- Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling S. Ciavatta et al.
- Synthesis of new scientific challenges for GODAE OceanView A. Schiller et al.
- Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford
- 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.
- Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al.
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al.
- Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela
- Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment A. Teruzzi et al.
- 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.
- An Ensemble-Based Probabilistic Score Approach to Compare Observation Scenarios: An Application to Biogeochemical-Argo Deployments C. Germineaud et al.
- Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al.
- Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al.
- Data assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sites S. Kalaroni et al.
- Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al.
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