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1. An Overview of Antarctic Sea Ice in the Community Earth System Model version 2, Part I: Analysis of the Seasonal Cycle in the Context of Sea Ice Thermodynamics and Coupled Atmosphere‐Ocean‐Ice Processes

   https://doi.org/10.1029/2020MS002143  

   Singh, Hansi K. ; Landrum, Laura ; Holland, Marika M. ; Bailey, David A. ; DuVivier, Alice K. ( January 2020 , Journal of Advances in Modeling Earth Systems)

   We assess Antarctic sea ice climatology and variability in version 2 of the Community Earth System Model (CESM2), and compare it to that in the older CESM1 and (where appropriate) real-world observations. In CESM2, Antarctic sea ice is thinner and less extensive than in CESM1, though sea ice area is still approximately 1 million km2 greater in CESM2 than in present-day observations. Though there is less Antarctic sea ice in CESM2, the annual cycle of ice growth and melt is more vigorous in CESM2 than in CESM1. A new mushy-layer thermodynamics formulation implemented in the latest version of the Community Ice Code (CICE) in CESM2 accounts for both greater frazil ice forma- tion in coastal polynyas and more snow-to-ice conversion near the edge of the ice pack in the new model. Greater winter ice divergence in CESM2 (relative to CESM1) is due to stronger stationary wave activity and greater wind stress curl over the ice pack. Greater wind stress curl, in turn, drives more warm water upwelling under the ice pack, thinning it and decreasing its extent. Overall, differences between Antarctic sea ice in CESM2 and CESM1 arise due to both differences in their sea ice thermodynamics formulations, and differences in their coupled atmosphere-ocean states. 

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2. Submesoscale Sea Ice-Ocean Interactions in Marginal Ice Zones: SUBMESOSCALE SEA ICE-OCEAN INTERACTIONS

   https://doi.org/10.1002/2017JC012895  

   Manucharyan, Georgy E. ; Thompson, Andrew F. ( December 2017 , Journal of Geophysical Research: Oceans)
3. Unraveling Phytoplankton Community Dynamics in the Northern Chukchi Sea Under Sea-Ice-Covered and Sea-Ice-Free Conditions

   https://doi.org/10.1029/2018GL077684  

   Neeley, A. R. ; Harris, L. A. ; Frey, K. E. ( August 2018 , Geophysical Research Letters)
4. Automated Detection and Depth Determination of Melt Ponds on Sea Ice in ICESat-2 ATLAS Data—The Density-Dimension Algorithm for Bifurcating Sea-Ice Reflectors (DDA-Bifurcate-Seaice)

   https://doi.org/10.1109/TGRS.2023.3268073  

   Herzfeld, Ute Christina ; Trantow, Thomas M. ; Han, Huilin ; Buckley, Ellen ; Farrell, Sinéad Louise ; Lawson, Matthew ( April 2023 , IEEE Transactions on Geoscience and Remote Sensing)

   As climate warms and the transition from a perennial to a seasonal Arctic sea-ice cover is imminent, understanding melt ponding is central to understanding changes in the new Arctic. National Aeronautics and Space Administration (NASA)’s Ice, Cloud and land Elevation Satellite (ICESat-2) has the capacity to provide measurements and monitoring of the onset of melt in the Arctic and on melt progression. Yet ponds are currently not identified on the ICESat-2 standard sea-ice products, in which only a single surface is determined. The objective of this article is to introduce a mathematical algorithm that facilitates automated detection of melt ponds in the ICESat-2 Advanced Topographic Laser Altimeter System (ATLAS) data, retrieval of two surface heights, pond surface and bottom, and measurements of depth and width of melt ponds. With ATLAS, ICESat-2 carries the first spaceborne multibeam micropulse photon-counting laser altimeter system, operating at 532-nm frequency. ATLAS data are recorded as clouds of discrete photon points. The Density-Dimension Algorithm for bifurcating sea-ice reflectors (DDA-bifurcate-seaice) is an autoadaptive algorithm that solves the problem of pond detection near the 0.7-m nominal along-track spacing of ATLAS data, utilizing the radial basis function for calculation of a density field and a threshold function that automatically adapts to changes in the background, apparent surface reflectance, and some instrument effects. The DDA-bifurcate-seaice is applied to large ICESat-2 datasets from the 2019 and 2020 melt seasons in the multiyear Arctic sea-ice region. Results are evaluated by comparison with those from a manually forced algorithm. 

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5. Mid-Winter Breakout of Landfast Sea Ice and Major Storm Leads to Significant Ice Push Event Along Chukchi Sea Coastline

   https://doi.org/10.3389/feart.2020.00344  

   Bogardus, Reyce ; Maio, Christopher ; Mason, Owen ; Buzard, Richard ; Mahoney, Andrew ; de Wit, Cary ( August 2020 , Frontiers in Earth Science)