Articles | Volume 5, issue 6
https://doi.org/10.5194/gmd-5-1501-2012
© 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/gmd-5-1501-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
03 Dec 2012
Development and technical paper |
| 03 Dec 2012
Better constraints on the sea-ice state using global sea-ice data assimilation
P. Mathiot
British Antarctic Survey, Natural Environment Research Council, Cambridge, UK
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain, Belgium
C. König Beatty
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain, Belgium
T. Fichefet
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain, Belgium
H. Goosse
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain, Belgium
F. Massonnet
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain, Belgium
M. Vancoppenolle
Laboratoire d'Océanographie et du Climat, Institut Pierre-Simon Laplace, Paris, France
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain, Belgium
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- Prospects for improved seasonal Arctic sea ice predictions from multivariate data assimilation F. Massonnet et al. 10.1016/j.ocemod.2014.12.013
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
- Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
- Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model M. Kimmritz et al. 10.1080/16000870.2018.1435945
- Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic M. Kimmritz et al. 10.1029/2019MS001825
- Modeled Trends in Antarctic Sea Ice Thickness P. Holland et al. 10.1175/JCLI-D-13-00301.1
- Relaxation Method for Assimilation of Sea Ice Concentration Data in the NEMO—LIM3 Multicategory Sea Ice Model B. Strukov et al. 10.3103/S1068373920020053
- Local analytical optimal nudging for assimilating AMSR2 sea ice concentration in a high-resolution pan-Arctic coupled ocean (HYCOM 2.2.98) and sea ice (CICE 5.1.2) model K. Wang et al. 10.5194/tc-17-4487-2023
- An anatomy of Arctic sea ice forecast biases in the seasonal prediction system with EC-Earth R. Cruz-García et al. 10.1007/s00382-020-05560-4
- Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
- Data assimilation for moving mesh methods with an application to ice sheet modelling B. Bonan et al. 10.5194/npg-24-515-2017
- Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 T. Tian et al. 10.5194/gmd-14-4283-2021
- Advancements in decadal climate predictability: The role of nonoceanic drivers A. Bellucci et al. 10.1002/2014RG000473
- A data assimilation framework that uses the Kullback-Leibler divergence S. Pimentel et al. 10.1371/journal.pone.0256584
- Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020 S. Cheng et al. 10.5194/tc-17-1735-2023
- A model reconstruction of the Antarctic sea ice thickness and volume changes over 1980–2008 using data assimilation F. Massonnet et al. 10.1016/j.ocemod.2013.01.003
- Exploring non-Gaussian sea ice characteristics via observing system simulation experiments C. Riedel & J. Anderson 10.5194/tc-18-2875-2024
- Ocean Reanalyses: Recent Advances and Unsolved Challenges A. Storto et al. 10.3389/fmars.2019.00418
- 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
- Ensemble of sea ice initial conditions for interannual climate predictions V. Guemas et al. 10.1007/s00382-014-2095-7
19 citations as recorded by crossref.
- Prospects for improved seasonal Arctic sea ice predictions from multivariate data assimilation F. Massonnet et al. 10.1016/j.ocemod.2014.12.013
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
- Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
- Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model M. Kimmritz et al. 10.1080/16000870.2018.1435945
- Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic M. Kimmritz et al. 10.1029/2019MS001825
- Modeled Trends in Antarctic Sea Ice Thickness P. Holland et al. 10.1175/JCLI-D-13-00301.1
- Relaxation Method for Assimilation of Sea Ice Concentration Data in the NEMO—LIM3 Multicategory Sea Ice Model B. Strukov et al. 10.3103/S1068373920020053
- Local analytical optimal nudging for assimilating AMSR2 sea ice concentration in a high-resolution pan-Arctic coupled ocean (HYCOM 2.2.98) and sea ice (CICE 5.1.2) model K. Wang et al. 10.5194/tc-17-4487-2023
- An anatomy of Arctic sea ice forecast biases in the seasonal prediction system with EC-Earth R. Cruz-García et al. 10.1007/s00382-020-05560-4
- Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
- Data assimilation for moving mesh methods with an application to ice sheet modelling B. Bonan et al. 10.5194/npg-24-515-2017
- Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 T. Tian et al. 10.5194/gmd-14-4283-2021
- Advancements in decadal climate predictability: The role of nonoceanic drivers A. Bellucci et al. 10.1002/2014RG000473
- A data assimilation framework that uses the Kullback-Leibler divergence S. Pimentel et al. 10.1371/journal.pone.0256584
- Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020 S. Cheng et al. 10.5194/tc-17-1735-2023
- A model reconstruction of the Antarctic sea ice thickness and volume changes over 1980–2008 using data assimilation F. Massonnet et al. 10.1016/j.ocemod.2013.01.003
- Exploring non-Gaussian sea ice characteristics via observing system simulation experiments C. Riedel & J. Anderson 10.5194/tc-18-2875-2024
- Ocean Reanalyses: Recent Advances and Unsolved Challenges A. Storto et al. 10.3389/fmars.2019.00418
- 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
1 citations as recorded by crossref.
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