Articles | Volume 5, issue 4
https://doi.org/10.5194/os-5-389-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/os-5-389-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
01 Oct 2009
Application of a hybrid EnKF-OI to ocean forecasting
F. Counillon
Mohn Sverdrup Center/Nansen Environmental and Remote Sensing Center Thormøhlensgate 47 , Bergen, Norway
P. Sakov
Mohn Sverdrup Center/Nansen Environmental and Remote Sensing Center Thormøhlensgate 47 , Bergen, Norway
L. Bertino
Mohn Sverdrup Center/Nansen Environmental and Remote Sensing Center Thormøhlensgate 47 , Bergen, Norway
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- An iterative ensemble Kalman filter in the presence of additive model error P. Sakov et al. https://doi.org/10.1002/qj.3213
- Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction M. El Gharamti et al. https://doi.org/10.5194/hess-28-3133-2024
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- Integrated Hybrid Data Assimilation for an Ensemble Kalman Filter https://doi.org/10.1175/MWR-D-21-0002.1
- Assessment of static ensembles on a global ocean assimilation system using EAKF L. Liu & X. Chen https://doi.org/10.1007/s10236-024-01620-z
- A hybrid ensemble-OI Kalman filter for efficient data assimilation into a 3-D biogeochemical model of the Mediterranean K. Tsiaras et al. https://doi.org/10.1007/s10236-017-1050-7
- Ensemble optimal interpolation for adjoint-free biogeochemical data assimilation J. Mattern et al. https://doi.org/10.1371/journal.pone.0291039
- Using a hybrid optimal interpolation–ensemble Kalman filter for the Canadian Precipitation Analysis D. Khedhaouiria et al. https://doi.org/10.5194/npg-29-329-2022
- Data assimilative twin-experiment in a high-resolution Bay of Biscay configuration: 4DEnOI based on stochastic modeling of the wind forcing V. Vervatis et al. https://doi.org/10.1016/j.ocemod.2016.01.003
- Correction of inertial oscillations by assimilation of HF radar data in a model of the Ligurian Sea L. Vandenbulcke et al. https://doi.org/10.1007/s10236-016-1012-5
- A data-driven approach to mesoscale ocean forecasting P. Oke & T. Rykova https://doi.org/10.3389/fmars.2025.1729116
- Data assimilation schemes for ocean forecasting: state of the art M. Martin et al. https://doi.org/10.5194/sp-5-opsr-9-2025
- High‐resolution ensemble data assimilation and forecasting of mesoscale and submesoscale circulation in the Arabian Gulf N. Raboudi et al. https://doi.org/10.1002/qj.70295
- A MITgcm/DART ensemble analysis and prediction system with application to the Gulf of Mexico I. Hoteit et al. https://doi.org/10.1016/j.dynatmoce.2013.03.002
- Towards a dynamically balanced eddy-resolving ocean reanalysis: BRAN3 P. Oke et al. https://doi.org/10.1016/j.ocemod.2013.03.008
- Remotely sensing potential climate change tipping points across scales T. Lenton et al. https://doi.org/10.1038/s41467-023-44609-w
- Regional Ocean Data Assimilation C. Edwards et al. https://doi.org/10.1146/annurev-marine-010814-015821
- An Inflated Ensemble Filter for Ocean Data Assimilation with a Biased Coupled GCM S. Zhang & A. Rosati https://doi.org/10.1175/2010MWR3326.1
21 citations as recorded by crossref.
- Assimilating NOAA SST data into BSH operational circulation model for the North and Baltic Seas: Part 2. Sensitivity of the forecast's skill to the prior model error statistics S. Losa et al. https://doi.org/10.1016/j.jmarsys.2013.06.011
- An iterative ensemble Kalman filter in the presence of additive model error P. Sakov et al. https://doi.org/10.1002/qj.3213
- Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction M. El Gharamti et al. https://doi.org/10.5194/hess-28-3133-2024
- Hybrid covariance super-resolution data assimilation S. Barthélémy et al. https://doi.org/10.1007/s10236-024-01643-6
- High-Resolution (2.5 km) Ensemble Precipitation Analysis across Canada D. Khedhaouiria et al. https://doi.org/10.1175/JHM-D-19-0282.1
- Super-resolution data assimilation S. Barthélémy et al. https://doi.org/10.1007/s10236-022-01523-x
- Integrated Hybrid Data Assimilation for an Ensemble Kalman Filter https://doi.org/10.1175/MWR-D-21-0002.1
- Assessment of static ensembles on a global ocean assimilation system using EAKF L. Liu & X. Chen https://doi.org/10.1007/s10236-024-01620-z
- A hybrid ensemble-OI Kalman filter for efficient data assimilation into a 3-D biogeochemical model of the Mediterranean K. Tsiaras et al. https://doi.org/10.1007/s10236-017-1050-7
- Ensemble optimal interpolation for adjoint-free biogeochemical data assimilation J. Mattern et al. https://doi.org/10.1371/journal.pone.0291039
- Using a hybrid optimal interpolation–ensemble Kalman filter for the Canadian Precipitation Analysis D. Khedhaouiria et al. https://doi.org/10.5194/npg-29-329-2022
- Data assimilative twin-experiment in a high-resolution Bay of Biscay configuration: 4DEnOI based on stochastic modeling of the wind forcing V. Vervatis et al. https://doi.org/10.1016/j.ocemod.2016.01.003
- Correction of inertial oscillations by assimilation of HF radar data in a model of the Ligurian Sea L. Vandenbulcke et al. https://doi.org/10.1007/s10236-016-1012-5
- A data-driven approach to mesoscale ocean forecasting P. Oke & T. Rykova https://doi.org/10.3389/fmars.2025.1729116
- Data assimilation schemes for ocean forecasting: state of the art M. Martin et al. https://doi.org/10.5194/sp-5-opsr-9-2025
- High‐resolution ensemble data assimilation and forecasting of mesoscale and submesoscale circulation in the Arabian Gulf N. Raboudi et al. https://doi.org/10.1002/qj.70295
- A MITgcm/DART ensemble analysis and prediction system with application to the Gulf of Mexico I. Hoteit et al. https://doi.org/10.1016/j.dynatmoce.2013.03.002
- Towards a dynamically balanced eddy-resolving ocean reanalysis: BRAN3 P. Oke et al. https://doi.org/10.1016/j.ocemod.2013.03.008
- Remotely sensing potential climate change tipping points across scales T. Lenton et al. https://doi.org/10.1038/s41467-023-44609-w
- Regional Ocean Data Assimilation C. Edwards et al. https://doi.org/10.1146/annurev-marine-010814-015821
- An Inflated Ensemble Filter for Ocean Data Assimilation with a Biased Coupled GCM S. Zhang & A. Rosati https://doi.org/10.1175/2010MWR3326.1
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