Articles | Volume 9, issue 1
https://doi.org/10.5194/os-9-19-2013
© 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-9-19-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assimilation of sea-ice concentration in a global climate model – physical and statistical aspects
S. Tietsche
Max Planck Institute for Meteorology, Bundesstr. 53, 20146 Hamburg, Germany
International Max Planck Research School on Earth System Modelling, Hamburg, Germany
now at: NCAS-Climate, University of Reading, Reading, UK
Max Planck Institute for Meteorology, Bundesstr. 53, 20146 Hamburg, Germany
J. H. Jungclaus
Max Planck Institute for Meteorology, Bundesstr. 53, 20146 Hamburg, Germany
J. Marotzke
Max Planck Institute for Meteorology, Bundesstr. 53, 20146 Hamburg, Germany
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- Intercomparison of the Arctic sea ice cover in global ocean–sea ice reanalyses from the ORA-IP project M. Chevallier et al. 10.1007/s00382-016-2985-y
- 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
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- Challenges in simulating sea ice in Earth System Models D. Notz 10.1002/wcc.189
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48 citations as recorded by crossref.
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- Seasonal climate forecasts significantly affected by observational uncertainty of Arctic sea ice concentration F. Bunzel et al. 10.1002/2015GL066928
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- The Copernicus Global 1/12° Oceanic and Sea Ice GLORYS12 Reanalysis L. Jean-Michel et al. 10.3389/feart.2021.698876
- Long-Term Variability of Surface Albedo and Its Correlation with Climatic Variables over Antarctica M. Seo et al. 10.3390/rs8120981
- Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
- Assimilating SMOS sea ice thickness into a coupled ice‐ocean model using a local SEIK filter Q. Yang et al. 10.1002/2014JC009963
- Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
- Arctic sea ice concentration and thickness data assimilation in the FIO-ESM climate forecast system Q. Shu et al. 10.1007/s13131-021-1768-4
- Thin Arctic sea ice in L-band observations and an ocean reanalysis S. Tietsche et al. 10.5194/tc-12-2051-2018
- Barents-Kara sea ice and European winters in EC-Earth I. Ringgaard et al. 10.1007/s00382-020-05174-w
- Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season G. Smith et al. 10.3389/fmars.2019.00429
- 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
- Seasonal Predictability over Europe Arising from El Niño and Stratospheric Variability in the MPI-ESM Seasonal Prediction System D. Domeisen et al. 10.1175/JCLI-D-14-00207.1
- 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
- The prediction of surface temperature in the new seasonal prediction system based on the MPI-ESM coupled climate model J. Baehr et al. 10.1007/s00382-014-2399-7
- Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation Q. Yang et al. 10.5194/tc-10-761-2016
- Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat‐2 Sea Ice Thickness Observations Y. Zhang et al. 10.1029/2023GL105672
- Predictability of large interannual Arctic sea-ice anomalies S. Tietsche et al. 10.1007/s00382-013-1698-8
- Analyzing the Characteristics of Sea Ice Initial Conditions for a Global Ocean and Sea Ice Prediction System, the NEMO-CICE/NEMOVAR over the Arctic Region J. Ahn & S. Lee 10.5467/JKESS.2015.36.1.82
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
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- Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al. 10.1007/s00382-015-2673-3
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- Sea ice assimilation into a coupled ocean–sea ice model using its adjoint N. Koldunov et al. 10.5194/tc-11-2265-2017
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- Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al. 10.1016/j.rse.2023.113662
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- Potential of coupled data assimilation studies in cryosphere K. SUZUKI 10.5331/seppyo.80.2_185
7 citations as recorded by crossref.
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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
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- 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
- Advancements in decadal climate predictability: The role of nonoceanic drivers A. Bellucci et al. 10.1002/2014RG000473
- Challenges in simulating sea ice in Earth System Models D. Notz 10.1002/wcc.189
- Real‐time estimation of Arctic sea ice thickness through maximum covariance analysis A. Dirkson et al. 10.1002/2015GL063930
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