Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology [PDF]
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
doaj +1 more source
A Stochastic Dynamical Model of Arctic Sea Ice
The noise forcing underlying the variability in the Arctic ice cover has a wide range of principally unknown origins. For this reason, the analytical and numerical solutions of a stochastic Arctic sea ice model are analyzed with both additive and multiplicative noise over a wide range of external heat fluxes Δ F0, corresponding to greenhouse gas ...
Moon, Woosok, Wettlaufer, J. S.
openaire +2 more sources
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 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
doaj +1 more source
Antarctic sea ice trends and its response to the Southern annular mode [PDF]
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
core +1 more source
Capacity of a set of CMIP6 models to simulate Arctic sea ice drift
Evaluating 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
doaj +1 more source
Numerical modelling of thermodynamics and dynamics of sea ice in the Baltic Sea [PDF]
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
doaj +1 more source
Nonextensive Dynamics of Drifting Sea Ice [PDF]
Cycles of ice pack fragmentation in the Arctic Ocean are caused by the irregular drift dynamics. In February 2004, the Russian ice-research camp North Pole 32 established on a floe in the Arctic Ocean ceased its working activity and was abandoned after a catastrophic icequake. In this communication, the data collected during the last month of the field
Alexandre Chmel, Victor Smirnov
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Evaluation of Operation IceBridge quick-look snow depth estimates on sea ice [PDF]
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
core +1 more source
Comparing heterogeneity of sea-ice models with viscous-plastic and Maxwell elasto-brittle rheology
Classical 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
doaj +1 more source
Demographic responses to climate change in a threatened Arctic species
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
doaj +1 more source

