Articles | Volume 16, issue 6
https://doi.org/10.5194/tc-16-2565-2022
© Author(s) 2022. 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-16-2565-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jun 2022
Research article |
| 28 Jun 2022
| 28 Jun 2022
Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
Adam William Bateson
CORRESPONDING AUTHOR
Centre for Polar Observation and Modelling, Department of Meteorology, University of Reading, Reading, RG2 7PS, United Kingdom
Daniel L. Feltham
Centre for Polar Observation and Modelling, Department of Meteorology, University of Reading, Reading, RG2 7PS, United Kingdom
David Schröder
Centre for Polar Observation and Modelling, Department of Meteorology, University of Reading, Reading, RG2 7PS, United Kingdom
British Antarctic Survey, Cambridge, CB3 0ET, United Kingdom
Yanan Wang
School of Applied Sciences, University of Huddersfield, Huddersfield, United Kingdom
Byongjun Hwang
School of Applied Sciences, University of Huddersfield, Huddersfield, United Kingdom
Jeff K. Ridley
Hadley Centre for Climate Prediction and Research, Met Office, Exeter, EX1 3PB, United Kingdom
Yevgeny Aksenov
National Oceanography Centre Southampton, Southampton, SO14 3ZH,
United Kingdom
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Cited
14 citations as recorded by crossref.
- Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation Y. Wang et al. 10.5194/tc-17-3575-2023
- Fusing Ice Surface Temperature With the AI4Arctic Dataset for Improved Deep Learning-Based Sea Ice Mapping L. de Loë et al. 10.1109/JSTARS.2025.3610260
- Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model J. Sterlin et al. 10.1016/j.ocemod.2023.102227
- Evolution of wave directional properties in sea ice A. Alberello et al. 10.1016/j.ocemod.2023.102305
- High-resolution maps of Arctic surface skin temperature and type retrieved from airborne thermal infrared imagery collected during the HALO–(𝒜 𝒞)3 campaign J. Müller et al. 10.5194/amt-18-4695-2025
- Impact of lateral melting on Arctic sea ice simulation in a coupled climate model Y. Fang et al. 10.1088/1748-9326/acfe20
- Finely resolved along-track wave attenuation estimates in the Antarctic marginal ice zone from ICESat-2 J. Voermans et al. 10.5194/tc-19-3381-2025
- Simulating ice–wave interactions in the Laurentian Great Lakes using a fully coupled hydrodynamic–ice–wave model M. Javaherian et al. 10.1016/j.ocemod.2025.102513
- Future sea ice weakening amplifies wind-driven trends in surface stress and Arctic Ocean spin-up M. Muilwijk et al. 10.1038/s41467-024-50874-0
- Understanding the influence of ocean waves on Arctic sea ice simulation: a modeling study with an atmosphere–ocean–wave–sea ice coupled model C. Yang et al. 10.5194/tc-18-1215-2024
- Evolution of the Floe Size Distribution in Arctic Summer Based on High-Resolution Satellite Imagery Z. Li et al. 10.3390/rs16142545
- Toward a marginal Arctic sea ice cover: changes to freezing, melting and dynamics R. Frew et al. 10.5194/tc-19-2115-2025
- Climate change hotspots and implications for the global subsea telecommunications network M. Clare et al. 10.1016/j.earscirev.2022.104296
- The sea ice component of GC5: coupling SI3 to HadGEM3 using conductive fluxes E. Blockley et al. 10.5194/gmd-17-6799-2024
14 citations as recorded by crossref.
- Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation Y. Wang et al. 10.5194/tc-17-3575-2023
- Fusing Ice Surface Temperature With the AI4Arctic Dataset for Improved Deep Learning-Based Sea Ice Mapping L. de Loë et al. 10.1109/JSTARS.2025.3610260
- Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model J. Sterlin et al. 10.1016/j.ocemod.2023.102227
- Evolution of wave directional properties in sea ice A. Alberello et al. 10.1016/j.ocemod.2023.102305
- High-resolution maps of Arctic surface skin temperature and type retrieved from airborne thermal infrared imagery collected during the HALO–(𝒜 𝒞)3 campaign J. Müller et al. 10.5194/amt-18-4695-2025
- Impact of lateral melting on Arctic sea ice simulation in a coupled climate model Y. Fang et al. 10.1088/1748-9326/acfe20
- Finely resolved along-track wave attenuation estimates in the Antarctic marginal ice zone from ICESat-2 J. Voermans et al. 10.5194/tc-19-3381-2025
- Simulating ice–wave interactions in the Laurentian Great Lakes using a fully coupled hydrodynamic–ice–wave model M. Javaherian et al. 10.1016/j.ocemod.2025.102513
- Future sea ice weakening amplifies wind-driven trends in surface stress and Arctic Ocean spin-up M. Muilwijk et al. 10.1038/s41467-024-50874-0
- Understanding the influence of ocean waves on Arctic sea ice simulation: a modeling study with an atmosphere–ocean–wave–sea ice coupled model C. Yang et al. 10.5194/tc-18-1215-2024
- Evolution of the Floe Size Distribution in Arctic Summer Based on High-Resolution Satellite Imagery Z. Li et al. 10.3390/rs16142545
- Toward a marginal Arctic sea ice cover: changes to freezing, melting and dynamics R. Frew et al. 10.5194/tc-19-2115-2025
- Climate change hotspots and implications for the global subsea telecommunications network M. Clare et al. 10.1016/j.earscirev.2022.104296
- The sea ice component of GC5: coupling SI3 to HadGEM3 using conductive fluxes E. Blockley et al. 10.5194/gmd-17-6799-2024
Latest update: 12 Oct 2025
Short summary
Numerical models are used to understand the mechanisms that drive the evolution of the Arctic sea ice cover. The sea ice cover is formed of pieces of ice called floes. Several recent studies have proposed variable floe size models to replace the standard model assumption of a fixed floe size. In this study we show the need to include floe fragmentation processes in these variable floe size models and demonstrate that model design can determine the impact of floe size on size ice evolution.
Numerical models are used to understand the mechanisms that drive the evolution of the Arctic...
