The chapter presents a review of sea ice properties in relation to sub-seasonal to seasonal (S2S) predictions in the Arctic and the Antarctic. After a concise presentation of the main processes governing sea ice physics, the spatial distribution, seasonal cycle, and variability of sea ice in both poles are described. Using a variety of observations and model reconstructions of the four recent decades, the memory of the main descriptors of the sea ice state is quantified. In both the Arctic and the Antarctic, persistence of the sea ice areal properties emerges as the primarily source of sea ice sub-seasonal predictability, with strong dependence on season. Further memory can be obtained from reemergence mechanisms, implying processes interna...
Dynamical climate models have been extensively used over the last decade to perform seasonal sea ice...
Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the peri...
This paper examines the ability of coupled global climate models to predict decadal variability of A...
Arctic sea ice plays a central role in the Earth’s climate. Changes in the sea ice on seasonal-to-in...
Sea ice plays a crucial role in the earth's energy and water budget and substantially impacts local ...
Sea ice plays a crucial role in the earth's energy and water budget and substantially impacts local ...
Arctic sea ice plays a central role in the Earth’s climate. Changes in the sea ice on seasonal-to-in...
Abstract Seasonal predictions of Arctic sea ice have typically been based on statistical regression ...
Understanding natural variability of Arctic and Antarctic sea ice is important for explaining and pr...
In this study, a regional linear Markov model is developed to assess seasonal sea ice predictability...
This paper examines the ability of coupled global climate models to predict decadal variability of ...
Understanding natural variability of Arctic and Antarctic sea ice is important for explaining and pr...
The fast depletion of the Arctic sea ice extent observed during the last three decades has awakened ...
Understanding natural variability of Arctic and Antarctic sea ice is important for explaining and pr...
Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the peri...
Dynamical climate models have been extensively used over the last decade to perform seasonal sea ice...
Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the peri...
This paper examines the ability of coupled global climate models to predict decadal variability of A...
Arctic sea ice plays a central role in the Earth’s climate. Changes in the sea ice on seasonal-to-in...
Sea ice plays a crucial role in the earth's energy and water budget and substantially impacts local ...
Sea ice plays a crucial role in the earth's energy and water budget and substantially impacts local ...
Arctic sea ice plays a central role in the Earth’s climate. Changes in the sea ice on seasonal-to-in...
Abstract Seasonal predictions of Arctic sea ice have typically been based on statistical regression ...
Understanding natural variability of Arctic and Antarctic sea ice is important for explaining and pr...
In this study, a regional linear Markov model is developed to assess seasonal sea ice predictability...
This paper examines the ability of coupled global climate models to predict decadal variability of ...
Understanding natural variability of Arctic and Antarctic sea ice is important for explaining and pr...
The fast depletion of the Arctic sea ice extent observed during the last three decades has awakened ...
Understanding natural variability of Arctic and Antarctic sea ice is important for explaining and pr...
Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the peri...
Dynamical climate models have been extensively used over the last decade to perform seasonal sea ice...
Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the peri...
This paper examines the ability of coupled global climate models to predict decadal variability of A...