Despite enormous scientific and technological progress in numerical weather and climate
prediction, sea ice still remains unreliably predicted by models, both in short-term …

The seasonal sea ice zone encompasses the region between the winter maximum and
summer minimum sea ice extent. In both the Arctic and Antarctic, the majority of the ice cover …

Data assimilation is often viewed as a framework for correcting short‐term error growth in
dynamical climate model forecasts. When viewed on the time scales of climate however …

Sea ice is a key component of the Earth's climate system as it modulates the energy
exchanges and associated feedback processes at the air–sea interface in polar regions …

Elongated open-water areas in sea ice (leads) release sea spray particles to the
atmosphere. However, there is limited knowledge on the amount, properties and drivers of …

We introduce deep generative diffusion for multivariate and regional surrogate modeling
learned from sea‐ice simulations. Given initial conditions and atmospheric forcings, the …

We make the first steps towards diffusion models for unconditional generation of multivariate
and Arctic-wide sea-ice states. While targeting to reduce the computational costs by diffusion …

We evaluate marginal ice zone (MIZ) extent in a wave–ice 25 km-resolution coupled model,
compared with pan-Arctic wave-affected sea-ice regions derived from ICESat-2 altimetry …

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 …

Arctic sea ice volume (SIV) is a key climate indicator and memory source in sea ice
predictions and projections, yet suffering from large observational and model uncertainty …