A Simulation of Snow on Antarctic Sea Ice Based on Satellite Data and Climate Reanalyses
Although snow plays an important role in the energy and mass balance of sea ice, it is little studied in the Southern Ocean. We present a Lagrangian model of snow on sea ice, CASSIS, that simulates the daily creation and drift of floes. Drifting floes accumulate snow from the atmosphere and the Anta...
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Veröffentlicht in: | Journal of geophysical research. Oceans 2024-01, Vol.129 (1), p.n/a |
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Zusammenfassung: | Although snow plays an important role in the energy and mass balance of sea ice, it is little studied in the Southern Ocean. We present a Lagrangian model of snow on sea ice, CASSIS, that simulates the daily creation and drift of floes. Drifting floes accumulate snow from the atmosphere and the Antarctic ice sheet, and lose snow to the ocean and snow‐ice formation. The depth of snow on Southern Ocean sea ice increases in all sectors between autumn and spring 1981–2021, reaching 40 cm in much of the Weddell Sea, coastal Amundsen Sea and south east Indian Ocean. The root mean square difference between seasonally‐averaged model and ship‐based snow depths is 13.1 cm, and between modeled and airborne snow depths from Operation IceBridge is 13.5 cm. Our model offers an alternative long‐term snow depth record to that from passive microwave (PM) radiometry, which does not capture the seasonal growth of the snow cover. We find that although the average circumpolar snow layer thickness has increased by 16 mm between 1981 and 2021 (P = 0.004), there has been a decrease of 13 mm in the Southern Pacific Ocean (P = 0.133, but significant in spring and autumn), driven by a reduction of summer sea ice extent in this region. Our model paves the way for improved satellite‐based estimates of Antarctic sea ice thickness.
Plain Language Summary
Knowing the thickness of the snow layer that blankets sea ice is important for climate studies, and it is essential for estimating the thickness and volume of sea ice from satellites. Here we present a model which simulates the snow cover on Antarctic sea ice using information about sea ice motion, snowfall, wind redistribution and snowpack processes. Our modeled snow depths are a good alternative to the existing long‐term records from PM satellites, which don't properly capture the seasonal growth of the snow cover. We analyze trends in snow depth over the 41 years for which the model is run, and find that while the snow cover of Antarctic sea ice has increased overall, it has decreased in the South Pacific Ocean because of changes in the amount of sea ice left in this region at the end of the summer melt season.
Key Points
Our model, CASSIS, simulates the daily drift of sea ice floes in the Southern Ocean and the evolution of their snow cover
Modeled snow depth increases in all sectors of the Southern Ocean between autumn and spring
A reduction of snow depth in the South Pacific between 1981 and 2021 is a result of reduced late‐summer |
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ISSN: | 2169-9275 2169-9291 |
DOI: | 10.1029/2022JC019002 |