Abstract Initialized Earth System predictions are made by starting a numerical prediction
model in a state as consistent as possible to observations and running it forward in time for …

Demands are growing rapidly in the operational prediction and applications communities for
forecasts that fill the gap between daily weather forecasts and seasonal climate outlooks …

Anthropogenic warming has led to an unprecedented year-round reduction in Arctic sea ice
extent. This has far-reaching consequences for indigenous and local communities, polar …

Weather forecasting provides numerous societal benefits, from extreme weather warnings to
agricultural planning. In recent decades, advances in forecasting have been rapid, arising …

The dramatic sea ice loss makes trans‐Arctic navigation possible. However, navigability
assessments at high temporal resolution are still very limited. To bridge this gap, daily sea …

During the melting season, predicting the daily sea ice concentration (SIC) of the Pan-Arctic
at a subseasonal scale is strongly required for economic activities and a challenging task for …

Weather and climate variations on subseasonal to decadal time scales can have enormous
social, economic, and environmental impacts, making skillful predictions on these time …

Antarctic sea ice concentration (SIC) prediction at seasonal scale has been documented, but
a gap remains at subseasonal scale (1–8 weeks) due to limited understanding of ice‐related …

Prediction systems to enable Earth system predictability research on the subseasonal time
scale have been developed with the Community Earth System Model, version 2 (CESM2) …

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 …