Antarctic sea ice predictions are becoming increasingly important scientifically and
operationally due to climate change and increased human activities in the region …

The Arctic sea ice response to a warming climate is assessed in a subset of models
participating in phase 6 of the Coupled Model Intercomparison Project (CMIP6), using …

This study quantifies the state of the art in the rapidly growing field of seasonal Arctic sea ice
prediction. A novel multimodel dataset of retrospective seasonal predictions of September …

With retreating sea ice and increasing human activities in the Arctic come a growing need for
reliable sea ice forecasts up to months ahead. We exploit the subseasonal‐to‐seasonal …

Verification of forecasts and warnings of high-impact weather is needed by the
meteorological centres, but how to perform it still presents many open questions, starting …

The Arctic is warming at a faster rate compared to the globe on average, a phenomenon
commonly referred to as Arctic amplification. Sea ice has been linked to Arctic amplification …

Advanced data assimilation (DA) methods, widely used in geophysical and climate studies
to merge observations with numerical models, can improve state estimates and consequent …

A significant barrier to understanding and quantifying current skill of Arctic sea ice forecasts
is a lack of a central database to enable model evaluation and intercomparison. This study …

Accurate snow cover modeling is a high-stakes issue for mountain regions. Alpine snow
evolution and spatial variability result from a multitude of complex processes including …

We assess the skill of forecasts of Arctic September sea ice in the Sea Ice Outlook over 2008–
2022. The multi‐model median June initialized forecast of September sea ice extent (SIE) is …