Articles | Volume 17, issue 5
https://doi.org/10.5194/tc-17-1873-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-1873-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modelling the evolution of Arctic multiyear sea ice over 2000–2018
Nansen Environmental and Remote Sensing Center and Bjerknes Centre for Climate Research, Bergen, Norway
Pierre Rampal
CNRS, Institut de Géophysique de l'Environnement, Grenoble, France
Nansen Environmental and Remote Sensing Center and Bjerknes Centre for Climate Research, Bergen, Norway
Einar Ólason
Nansen Environmental and Remote Sensing Center and Bjerknes Centre for Climate Research, Bergen, Norway
Guillaume Boutin
Nansen Environmental and Remote Sensing Center and Bjerknes Centre for Climate Research, Bergen, Norway
Anton Korosov
Nansen Environmental and Remote Sensing Center and Bjerknes Centre for Climate Research, Bergen, Norway
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Cited
15 citations as recorded by crossref.
- The stepwise decrease of 4+ year ice extent and its linked survivability since around 2007 Q. Shan et al. https://doi.org/10.1017/jog.2024.33
- The MET Norway Ice Service: a comprehensive review of the historical and future evolution, ice chart creation, and end user interaction within METAREA XIX W. Copeland et al. https://doi.org/10.3389/fmars.2024.1400479
- Reconstruction of Arctic sea ice thickness (1992–2010) based on a hybrid machine learning and data assimilation approach L. Edel et al. https://doi.org/10.5194/tc-19-731-2025
- Arctic regional changes revealed by clustering of sea-ice observations A. Simon et al. https://doi.org/10.5194/tc-19-6639-2025
- Reconstructing Pre-SMAP Archives of Polarized Brightness Temperatures in Arctic Sea Ice Leveraging ResNet-Based Conditional GANs S. Jo et al. https://doi.org/10.1109/TGRS.2025.3645345
- Satellite observations reveal a significant poleward expansion of the multiyear sea ice replenishment in the heart region of Arctic Ocean H. Bi & L. Yu https://doi.org/10.1088/1748-9326/ae2b88
- Challenges in simulating ozone depletion events in the Arctic boundary layer: a case study using ECHAM/MESSy for spring 2019/2020 S. Falk et al. https://doi.org/10.5194/acp-25-15653-2025
- Smoother sea ice with fewer pressure ridges in a more dynamic Arctic T. Krumpen et al. https://doi.org/10.1038/s41558-024-02199-5
- Modeling Antarctic Sea Ice Variability Using a Brittle Rheology R. Santana et al. https://doi.org/10.1029/2024MS004584
- Numerical investigation of hull–podded propulsor–ice interactions based on a coupled FEM–SPH approach P. Xu et al. https://doi.org/10.1016/j.oceaneng.2026.124357
- A climate data record of sea ice age using Lagrangian advection of a triangular mesh A. Korosov et al. https://doi.org/10.5194/essd-18-721-2026
- Environmental regionalisation of the Arctic Ocean and its implications for navigation B. Wei et al. https://doi.org/10.1016/j.oceaneng.2026.126867
- The Stepwise Reduction of Multiyear Sea Ice Area in the Arctic Ocean Since 1980 D. Babb et al. https://doi.org/10.1029/2023JC020157
- Mass and heat balance of sea ice during the thaw-freezing transition in the Pacific sector of Arctic Ocean derived from the buoy measurements in 2018 M. Wu et al. https://doi.org/10.1007/s13131-025-2514-0
- Tuning parameters of a sea ice model using machine learning A. Korosov et al. https://doi.org/10.5194/gmd-18-885-2025
15 citations as recorded by crossref.
- The stepwise decrease of 4+ year ice extent and its linked survivability since around 2007 Q. Shan et al. https://doi.org/10.1017/jog.2024.33
- The MET Norway Ice Service: a comprehensive review of the historical and future evolution, ice chart creation, and end user interaction within METAREA XIX W. Copeland et al. https://doi.org/10.3389/fmars.2024.1400479
- Reconstruction of Arctic sea ice thickness (1992–2010) based on a hybrid machine learning and data assimilation approach L. Edel et al. https://doi.org/10.5194/tc-19-731-2025
- Arctic regional changes revealed by clustering of sea-ice observations A. Simon et al. https://doi.org/10.5194/tc-19-6639-2025
- Reconstructing Pre-SMAP Archives of Polarized Brightness Temperatures in Arctic Sea Ice Leveraging ResNet-Based Conditional GANs S. Jo et al. https://doi.org/10.1109/TGRS.2025.3645345
- Satellite observations reveal a significant poleward expansion of the multiyear sea ice replenishment in the heart region of Arctic Ocean H. Bi & L. Yu https://doi.org/10.1088/1748-9326/ae2b88
- Challenges in simulating ozone depletion events in the Arctic boundary layer: a case study using ECHAM/MESSy for spring 2019/2020 S. Falk et al. https://doi.org/10.5194/acp-25-15653-2025
- Smoother sea ice with fewer pressure ridges in a more dynamic Arctic T. Krumpen et al. https://doi.org/10.1038/s41558-024-02199-5
- Modeling Antarctic Sea Ice Variability Using a Brittle Rheology R. Santana et al. https://doi.org/10.1029/2024MS004584
- Numerical investigation of hull–podded propulsor–ice interactions based on a coupled FEM–SPH approach P. Xu et al. https://doi.org/10.1016/j.oceaneng.2026.124357
- A climate data record of sea ice age using Lagrangian advection of a triangular mesh A. Korosov et al. https://doi.org/10.5194/essd-18-721-2026
- Environmental regionalisation of the Arctic Ocean and its implications for navigation B. Wei et al. https://doi.org/10.1016/j.oceaneng.2026.126867
- The Stepwise Reduction of Multiyear Sea Ice Area in the Arctic Ocean Since 1980 D. Babb et al. https://doi.org/10.1029/2023JC020157
- Mass and heat balance of sea ice during the thaw-freezing transition in the Pacific sector of Arctic Ocean derived from the buoy measurements in 2018 M. Wu et al. https://doi.org/10.1007/s13131-025-2514-0
- Tuning parameters of a sea ice model using machine learning A. Korosov et al. https://doi.org/10.5194/gmd-18-885-2025
Saved (final revised paper)
Latest update: 19 Jul 2026
Short summary
Multiyear ice (MYI), sea ice that survives the summer, is more resistant to changes than younger ice in the Arctic, so it is a good indicator of sea ice resilience. We use a model with a new way of tracking MYI to assess the contribution of different processes affecting MYI. We find two important years for MYI decline: 2007, when dynamics are important, and 2012, when melt is important. These affect MYI volume and area in different ways, which is important for the interpretation of observations.
Multiyear ice (MYI), sea ice that survives the summer, is more resistant to changes than younger...