Articles | Volume 14, issue 4
https://doi.org/10.5194/tc-14-1259-2020
https://doi.org/10.5194/tc-14-1259-2020
Research article
 | 
20 Apr 2020
Research article |  | 20 Apr 2020

Going with the floe: tracking CESM Large Ensemble sea ice in the Arctic provides context for ship-based observations

Alice K. DuVivier, Patricia DeRepentigny, Marika M. Holland, Melinda Webster, Jennifer E. Kay, and Donald Perovich

Data sets

The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability (doi:10.1175/BAMS-D-13-00255.1) J. E. Kay, C. Deser, A. Phillips, A. Mai, C. Hannay, C., G. Strand, J. Arblaster, S. Bates, G. Danabasoglu, J. Edwards, M. Holland, P. Kushner, J.-F. Lamarque, D. Lawrence, K. Lindsay, A. Middleton, E. Munoz, R. Neale, K. Oleson, L. Polvani, and M. Vertenstein http://www.cesm.ucar.edu/projects/community-projects/LENS/

Model code and software

MOSAIC scripts A. K. DuVivier https://github.com/duvivier/MOSAIC_TC_2020

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Short summary
In autumn 2019, a ship will be frozen into the Arctic sea ice for a year to study system changes. We analyze climate model data from a group of experiments and follow virtual sea ice floes throughout a year. The modeled sea ice conditions along possible tracks are highly variable. Observations that sample a wide range of sea ice conditions and represent the variety and diversity in possible conditions are necessary for improving climate model parameterizations over all types of sea ice.