Published April 2025 | Version Published
Journal Article Embargoed

Comparing the Role of Floe Breakage and Melt on Summer Sea Ice Loss

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Lawrence Livermore National Laboratory
  • 3. ROR icon Delft University of Technology

Abstract

Marginal ice zones are composed of individual sea ice floes, whose breakage and melt influence its dynamical behavior. These processes are not well represented by global or regional climate models due to the continuum approximations and uncertainties regarding forcing, data resolution and parameterizations used for sea ice. Here, we use a Discrete Element Model (DEM) coupled to a slab thermodynamic ocean to investigate how breakage and melt processes impact the decay of summer sea ice. The DEM is calibrated using MODIS satellite imagery and reanalysis data within the Arctic Ocean's Baffin Bay during June–July 2018. The sensitivity of the sea ice decay is evaluated by varying the solar heating, the ice/ocean heat exchange parameter, and a prescribed floe breakage rate. For the parameter regime that best fits observations, the ratio of mass loss of resolved floes (diameter > 2 km) due to breakage versus melt is 0.47, and oceanic versus solar melt is 0.46. The rate at which resolved floes lose mass is most sensitive to the breakage rate, as compared to the solar and oceanic melt parameters. The number decay of the largest floes (D > 21 km) is controlled by breakage, whereas the decay of smaller floes (D = 2–21 km) depends strongly on lateral and basal melt. Inferences from this exploration of the parameter space may help motivate more accurate parameterizations of the floe size distribution evolution in climate models.

Copyright and License

© 2025. American Geophysical Union.

Acknowledgement

R.M.L. and J.A.’s research was funded by the support of ARO Grant W911NF-19-1-0245 and the NSF Grant JEA. NSFCMMIECI-1-NSF.2033779. M.G. and A.F.T. were supported by award NSF-OCE 1829969 and the Office of Naval Research Multidisciplinary University Research Initiative (MURI) on Mathematics and Data Science for Physical Modeling and Prediction of Sea Ice, N00014-19-1-2421. Portions of the manuscript were performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

Data Availability

MODIS images can be accessed from MODIS Science Team (2017). This study has been conducted using E.U. Copernicus Marine Service Information, specifically Arctic Ocean Physics Reanalysis, accessed from European Union-Copernicus Marine Service (2024) with ID ARCTIC_MULTIYEAR_PHY_002_003. In addition, ERA5 data are accessed from Hersbach et al. (2023) and NSIDC Polar Pathfinder Sea Ice Motion Vectors from Tschudi et al. (2019). Input and output data used for initializing simulations and generating results are available at Zenodo: https://doi.org/10.5281/zenodo.8237589. LS-ICE software for simulations is preserved at: https://zenodo.org/badge/latestdoi/676322610 and developed at GitHub: https://github.com/rmoncadalopez/LSICE.git.

Supplemental Material

Supporting Information S1 (PDF)

Files

Embargoed

The files will be made publicly available on October 11, 2025.

Additional details

Funding

United States Army Research Office
W911NF‐19‐1‐0245
National Science Foundation
JEA.NSFCMMIECI‐1‐NSF.2033779
National Science Foundation
OCE-1829969
Office of Naval Research
N00014‐19‐1‐2421
United States Department of Energy
DE-AC52-07NA27344

Dates

Accepted
2025-02-18
Available
2025-04-11
Version of record online
Available
2025-04-11
Issue online

Caltech Custom Metadata

Caltech groups
Division of Engineering and Applied Science (EAS), Division of Geological and Planetary Sciences (GPS)
Publication Status
Published