Articles | Volume 8, issue 2
https://doi.org/10.5194/os-8-121-2012
© Author(s) 2012. 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-8-121-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Mar 2012
Research article |
| 06 Mar 2012
Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations
J.-M. Brankart
LEGI/CNRS, UMR5519, Grenoble, France
C.-E. Testut
Mercator-Océan, Toulouse, France
D. Béal
LEGI/CNRS, UMR5519, Grenoble, France
M. Doron
LEGI/CNRS, UMR5519, Grenoble, France
C. Fontana
LEGI/CNRS, UMR5519, Grenoble, France
M. Meinvielle
LEGI/CNRS, UMR5519, Grenoble, France
P. Brasseur
LEGI/CNRS, UMR5519, Grenoble, France
J. Verron
LEGI/CNRS, UMR5519, Grenoble, France
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26 citations as recorded by crossref.
- Experiences in multiyear combined state–parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter E. Simon et al. 10.1016/j.jmarsys.2015.07.004
- Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach J. Amezcua & P. Van Leeuwen 10.3402/tellusa.v66.23493
- A comparison of nonlinear extensions to the ensemble Kalman filter I. Grooms 10.1007/s10596-022-10141-x
- A generic approach to explicit simulation of uncertainty in the NEMO ocean model J. Brankart et al. 10.5194/gmd-8-1285-2015
- An Ensemble-Based Probabilistic Score Approach to Compare Observation Scenarios: An Application to Biogeochemical-Argo Deployments C. Germineaud et al. 10.1175/JTECH-D-19-0002.1
- Status and future of data assimilation in operational oceanography M. Martin et al. 10.1080/1755876X.2015.1022055
- Assimilating GlobColour ocean colour data into a pre-operational physical-biogeochemical model D. Ford et al. 10.5194/os-8-751-2012
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
- Foundations for Universal Non‐Gaussian Data Assimilation S. Van Loon & S. Fletcher 10.1029/2023GL105148
- Ensemble analysis and forecast of ecosystem indicators in the North Atlantic using ocean colour observations and prior statistics from a stochastic NEMO–PISCES simulator M. Popov et al. 10.5194/os-20-155-2024
- Generating atmospheric forcing perturbations for an ocean data assimilation ensemble I. Mirouze & A. Storto 10.1080/16000870.2019.1624459
- Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution L. Bessières et al. 10.5194/gmd-10-1091-2017
- Correcting for Position Errors in Variational Data Assimilation T. Nehrkorn et al. 10.1175/MWR-D-14-00127.1
- Stochastic estimation of biogeochemical parameters from Globcolour ocean colour satellite data in a North Atlantic 3D ocean coupled physical–biogeochemical model M. Doron et al. 10.1016/j.jmarsys.2013.02.007
- Toward a multivariate reanalysis of the North Atlantic Ocean biogeochemistry during 1998–2006 based on the assimilation of SeaWiFS chlorophyll data C. Fontana et al. 10.5194/os-9-37-2013
- Implicitly Localized MCMC Sampler to Cope With Non-local/Non-linear Data Constraints in Large-Size Inverse Problems J. Brankart 10.3389/fams.2019.00058
- Assessment of an ensemble system that assimilates Jason-1/Envisat altimeter data in a probabilistic model of the North Atlantic ocean circulation G. Candille et al. 10.5194/os-11-425-2015
- A framework for high‐resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions A. Devers et al. 10.1002/qj.3663
- A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity I. Grooms et al. 10.1371/journal.pone.0248266
- Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
- Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean Y. Santana-Falcón et al. 10.5194/os-16-1297-2020
- FYRE Climate: a high-resolution reanalysis of daily precipitation and temperature in France from 1871 to 2012 A. Devers et al. 10.5194/cp-17-1857-2021
- A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al. 10.5194/npg-21-869-2014
- Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al. 10.1109/TGRS.2023.3338296
- Advancing Short‐Term Forecasts of Ice Conditions in the Beaufort Sea M. Yaremchuk et al. 10.1029/2018JC014581
- EAT v1.0.0: a 1D test bed for physical–biogeochemical data assimilation in natural waters J. Bruggeman et al. 10.5194/gmd-17-5619-2024
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