Articles | Volume 6, issue 1
https://doi.org/10.5194/os-6-247-2010
© Author(s) 2010. 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-6-247-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
17 Feb 2010
Characterization of mixing errors in a coupled physical biogeochemical model of the North Atlantic: implications for nonlinear estimation using Gaussian anamorphosis
D. Béal
LEGI/CNRS, Université de Grenoble, CNRS, BP 53X, 38041 Grenoble, France
P. Brasseur
LEGI/CNRS, Université de Grenoble, CNRS, BP 53X, 38041 Grenoble, France
J.-M. Brankart
LEGI/CNRS, Université de Grenoble, CNRS, BP 53X, 38041 Grenoble, France
Y. Ourmières
LSEET, Université du Sud Toulon Var, 83957 La Garde Cedex, France
J. Verron
LEGI/CNRS, Université de Grenoble, CNRS, BP 53X, 38041 Grenoble, France
Viewed
Total article views: 3,354 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 30 Jun 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,769 | 1,442 | 143 | 3,354 | 167 | 105 |
- HTML: 1,769
- PDF: 1,442
- XML: 143
- Total: 3,354
- BibTeX: 167
- EndNote: 105
Total article views: 2,536 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 17 Feb 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,470 | 944 | 122 | 2,536 | 140 | 100 |
- HTML: 1,470
- PDF: 944
- XML: 122
- Total: 2,536
- BibTeX: 140
- EndNote: 100
Total article views: 818 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 30 Jun 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 299 | 498 | 21 | 818 | 27 | 5 |
- HTML: 299
- PDF: 498
- XML: 21
- Total: 818
- BibTeX: 27
- EndNote: 5
Cited
45 citations as recorded by crossref.
- Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean A. Barth et al. 10.1016/j.ocemod.2015.07.011
- A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems Y. Fan et al. 10.1007/s00477-014-0954-8
- Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al. 10.1016/j.jmarsys.2015.10.012
- Towards ecosystem‐based techniques for tipping point detection D. Hemraj & J. Carstensen 10.1111/brv.13167
- Stochastic estimation of biogeochemical parameters of a 3D ocean coupled physical–biogeochemical model: Twin experiments M. Doron et al. 10.1016/j.jmarsys.2011.04.001
- Toward an Uncertainty Budget for a Coastal Ocean Model S. Kim et al. 10.1175/2010MWR3352.1
- Smoothing Problems in a Bayesian Framework and Their Linear Gaussian Solutions E. Cosme et al. 10.1175/MWR-D-10-05025.1
- The importance of state transformations when using the ensemble Kalman filter for unsaturated flow modeling: Dealing with strong nonlinearities D. Erdal et al. 10.1016/j.advwatres.2015.09.008
- Probability fields revisited in the context of ensemble Kalman filtering T. Xu & J. Gómez-Hernández 10.1016/j.jhydrol.2015.06.062
- Diet composition uncertainty determines impacts on fisheries following an oil spill H. Morzaria-Luna et al. 10.1016/j.ecoser.2018.05.002
- Comparison of Two Ensemble Kalman-Based Methods for Estimating Aquifer Parameters from Virtual 2-D Hydraulic and Tracer Tomographic Tests E. Sánchez-León et al. 10.3390/geosciences10070276
- 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
- A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al. 10.5194/npg-21-869-2014
- Potential outcomes of glider data assimilation in the Solomon Sea: Control of the water mass properties and parameter estimation A. Melet et al. 10.1016/j.jmarsys.2011.12.003
- Evaluation of iterative Kalman smoother schemes for multi-decadal past climate analysis with comprehensive Earth system models J. García-Pintado & A. Paul 10.5194/gmd-11-5051-2018
- Surf zone bathymetry and circulation predictions via data assimilation of remote sensing observations G. Wilson et al. 10.1002/2013JC009213
- A generic approach to explicit simulation of uncertainty in the NEMO ocean model J. Brankart et al. 10.5194/gmd-8-1285-2015
- 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
- Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al. 10.5194/bg-14-2113-2017
- An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering H. Zhou et al. 10.1016/j.advwatres.2011.04.014
- Detection of potential leakage pathways from geological carbon storage by fluid pressure data assimilation A. González-Nicolás et al. 10.1016/j.advwatres.2015.10.006
- A Simulation-Based Geostatistical Approach to Real-Time Reconciliation of the Grade Control Model T. Wambeke & J. Benndorf 10.1007/s11004-016-9658-6
- Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography A. Schöniger et al. 10.1029/2011WR010462
- A statistical overview and perspectives on data assimilation for marine biogeochemical models M. Dowd et al. 10.1002/env.2264
- A comparison of nonlinear extensions to the ensemble Kalman filter I. Grooms 10.1007/s10596-022-10141-x
- Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al. 10.1109/TGRS.2023.3338296
- 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
- Correcting surface winds by assimilating high-frequency radar surface currents in the German Bight A. Barth et al. 10.1007/s10236-010-0369-0
- Application of Feature Calibration and Alignment to High-Resolution Analysis: Examples Using Observations Sensitive to Cloud and Water Vapor T. Nehrkorn et al. 10.1175/MWR-D-13-00164.1
- Development of a variational data assimilation system for the diurnal cycle of sea surface temperature J. While & M. Martin 10.1002/jgrc.20215
- Corrections to ocean surface forcing in the California Current System using 4D variational data assimilation G. Broquet et al. 10.1016/j.ocemod.2010.10.005
- Regional Ocean Data Assimilation C. Edwards et al. 10.1146/annurev-marine-010814-015821
- Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations J. Brankart et al. 10.5194/os-8-121-2012
- Evolution of oxygen and stratification and their relationship in the North Pacific Ocean in CMIP6 Earth system models L. Novi et al. 10.5194/bg-21-3985-2024
- Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
- Ensemble Kalman filter versus ensemble smoother for assessing hydraulic conductivity via tracer test data assimilation E. Crestani et al. 10.5194/hess-17-1517-2013
- Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
- 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
- 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
- Inverse sequential simulation: Performance and implementation details T. Xu & J. Gómez-Hernández 10.1016/j.advwatres.2015.04.015
- Comparison of Two Ensemble-Kalman Filter Based Methods for Estimating Aquifer Parameters from Real 3-D Hydraulic and Tracer Tomographic Tests E. Sánchez-León et al. 10.3390/geosciences10110462
- The Effect of Thinning and Superobservations in a Simple One-Dimensional Data Analysis with Mischaracterized Error R. Hoffman 10.1175/MWR-D-17-0363.1
- A coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological models Y. Fan et al. 10.1016/j.jhydrol.2015.09.035
- Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
- Controlling atmospheric forcing parameters of global ocean models: sequential assimilation of sea surface Mercator-Ocean reanalysis data C. Skandrani et al. 10.5194/os-5-403-2009
44 citations as recorded by crossref.
- Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean A. Barth et al. 10.1016/j.ocemod.2015.07.011
- A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems Y. Fan et al. 10.1007/s00477-014-0954-8
- Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al. 10.1016/j.jmarsys.2015.10.012
- Towards ecosystem‐based techniques for tipping point detection D. Hemraj & J. Carstensen 10.1111/brv.13167
- Stochastic estimation of biogeochemical parameters of a 3D ocean coupled physical–biogeochemical model: Twin experiments M. Doron et al. 10.1016/j.jmarsys.2011.04.001
- Toward an Uncertainty Budget for a Coastal Ocean Model S. Kim et al. 10.1175/2010MWR3352.1
- Smoothing Problems in a Bayesian Framework and Their Linear Gaussian Solutions E. Cosme et al. 10.1175/MWR-D-10-05025.1
- The importance of state transformations when using the ensemble Kalman filter for unsaturated flow modeling: Dealing with strong nonlinearities D. Erdal et al. 10.1016/j.advwatres.2015.09.008
- Probability fields revisited in the context of ensemble Kalman filtering T. Xu & J. Gómez-Hernández 10.1016/j.jhydrol.2015.06.062
- Diet composition uncertainty determines impacts on fisheries following an oil spill H. Morzaria-Luna et al. 10.1016/j.ecoser.2018.05.002
- Comparison of Two Ensemble Kalman-Based Methods for Estimating Aquifer Parameters from Virtual 2-D Hydraulic and Tracer Tomographic Tests E. Sánchez-León et al. 10.3390/geosciences10070276
- 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
- A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al. 10.5194/npg-21-869-2014
- Potential outcomes of glider data assimilation in the Solomon Sea: Control of the water mass properties and parameter estimation A. Melet et al. 10.1016/j.jmarsys.2011.12.003
- Evaluation of iterative Kalman smoother schemes for multi-decadal past climate analysis with comprehensive Earth system models J. García-Pintado & A. Paul 10.5194/gmd-11-5051-2018
- Surf zone bathymetry and circulation predictions via data assimilation of remote sensing observations G. Wilson et al. 10.1002/2013JC009213
- A generic approach to explicit simulation of uncertainty in the NEMO ocean model J. Brankart et al. 10.5194/gmd-8-1285-2015
- 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
- Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al. 10.5194/bg-14-2113-2017
- An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering H. Zhou et al. 10.1016/j.advwatres.2011.04.014
- Detection of potential leakage pathways from geological carbon storage by fluid pressure data assimilation A. González-Nicolás et al. 10.1016/j.advwatres.2015.10.006
- A Simulation-Based Geostatistical Approach to Real-Time Reconciliation of the Grade Control Model T. Wambeke & J. Benndorf 10.1007/s11004-016-9658-6
- Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography A. Schöniger et al. 10.1029/2011WR010462
- A statistical overview and perspectives on data assimilation for marine biogeochemical models M. Dowd et al. 10.1002/env.2264
- A comparison of nonlinear extensions to the ensemble Kalman filter I. Grooms 10.1007/s10596-022-10141-x
- Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al. 10.1109/TGRS.2023.3338296
- 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
- Correcting surface winds by assimilating high-frequency radar surface currents in the German Bight A. Barth et al. 10.1007/s10236-010-0369-0
- Application of Feature Calibration and Alignment to High-Resolution Analysis: Examples Using Observations Sensitive to Cloud and Water Vapor T. Nehrkorn et al. 10.1175/MWR-D-13-00164.1
- Development of a variational data assimilation system for the diurnal cycle of sea surface temperature J. While & M. Martin 10.1002/jgrc.20215
- Corrections to ocean surface forcing in the California Current System using 4D variational data assimilation G. Broquet et al. 10.1016/j.ocemod.2010.10.005
- Regional Ocean Data Assimilation C. Edwards et al. 10.1146/annurev-marine-010814-015821
- Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations J. Brankart et al. 10.5194/os-8-121-2012
- Evolution of oxygen and stratification and their relationship in the North Pacific Ocean in CMIP6 Earth system models L. Novi et al. 10.5194/bg-21-3985-2024
- Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
- Ensemble Kalman filter versus ensemble smoother for assessing hydraulic conductivity via tracer test data assimilation E. Crestani et al. 10.5194/hess-17-1517-2013
- Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
- 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
- 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
- Inverse sequential simulation: Performance and implementation details T. Xu & J. Gómez-Hernández 10.1016/j.advwatres.2015.04.015
- Comparison of Two Ensemble-Kalman Filter Based Methods for Estimating Aquifer Parameters from Real 3-D Hydraulic and Tracer Tomographic Tests E. Sánchez-León et al. 10.3390/geosciences10110462
- The Effect of Thinning and Superobservations in a Simple One-Dimensional Data Analysis with Mischaracterized Error R. Hoffman 10.1175/MWR-D-17-0363.1
- A coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological models Y. Fan et al. 10.1016/j.jhydrol.2015.09.035
- Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
Saved (final revised paper)
Latest update: 23 Dec 2024
