Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. [PDF]
Geoscientific Model Development, 2022 The remoteness and extreme conditions of the Arctic make it a very difficult environment to investigate. In these polar regions covered by sea ice, the wind is relatively strong due to the absence of obstructions and redistributes a large part of the ...
O. Hames +13 more
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Can uncertainties in sea ice albedo reconcile patterns of data-model discord for the Pliocene and 20th/21st centuries? [PDF]
, 2014 General Circulation Model simulations of the mid-Pliocene warm period (mPWP, 3.264 to 3.025 Myr ago) currently underestimate the level of warming that proxy data suggest existed at high latitudes, with discrepancies of up to 11°C for sea surface ...
Haywood, Alan +28 more
core +1 more source
Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology [PDF]
The Cryosphere, 2023 We introduce a proof of concept to parametrise the unresolved subgrid scale of sea-ice dynamics with deep learning techniques. Instead of parametrising single processes, a single neural network is trained to correct all model variables at the same time ...
T. S. Finn +7 more
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Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 2: Case studies and trends of sea ice albedo and melt ponds in the Arctic for years 2002–2011 [PDF]
The Cryosphere, 2015 The spatial and temporal dynamics of melt ponds and sea ice albedo contain information on the current state and the trend of the climate of the Arctic region.
L. Istomina +8 more
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Antarctic sea ice trends and its response to the Southern annular mode [PDF]
, 2009 Includes bibliographical references (leaves 37-42).Sea ice covers vast regions of the Southern Ocean and impacts on the climate as well as the plant and animal life of the region.
Collins, Charine
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Capacity of a set of CMIP6 models to simulate Arctic sea ice drift
Annals of GlaciologyEvaluating CMIP6 model performance helps to improve the prediction of future changes in Arctic sea ice. We analyze the seasonal cycles, distribution, and evolution of sea ice in different regions from 1979 to 2014.
Xinfang Zhang +2 more
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Numerical modelling of thermodynamics and dynamics of sea ice in the Baltic Sea [PDF]
Ocean Science, 2011 In this paper, a numerical dynamic-thermo-dynamic sea-ice model for the Baltic Sea is used to analyze the variability of ice conditions in three winter seasons.
A. Herman, J. Jedrasik, M. Kowalewski
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Evaluation of Operation IceBridge quick-look snow depth estimates on sea ice [PDF]
, 2015 We evaluate Operation IceBridge (OIB) ‘quick-look’ (QL) snow depth on sea ice retrievals using in situ measurements taken over immobile first-year ice (FYI) and multi-year ice (MYI) during March of 2014. Good agreement was found over undeformed FYI (-4.5
Joshua King +17 more
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Comparing heterogeneity of sea-ice models with viscous-plastic and Maxwell elasto-brittle rheology
Annals of GlaciologyClassical sea-ice models in climate model resolution do not resolve the small-scale physics of sea ice. New methods to address this problem include modifications to established viscous-plastic (VP) rheology models, sub-gridscale parameterizations or new ...
Mirjam Bourgett +2 more
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Demographic responses to climate change in a threatened Arctic species
Ecology and Evolution, 2021 The Arctic is undergoing rapid and accelerating change in response to global warming, altering biodiversity patterns, and ecosystem function across the region.
Kylee D. Dunham +5 more
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