We document the development of the first version of the UK Earth System Model UKESM1.
The model represents a major advance on its predecessor HadGEM2‐ES, with …

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 …

Fully coupled climate models have long shown a wide range of Antarctic sea ice states and
evolution over the satellite era. Here, we present a high‐level evaluation of Antarctic sea ice …

Operational oceanography can be described as the provision of routine oceanographic
information needed for decision-making purposes. It is dependent upon sustained research …

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 …

We explore new and existing convolutional neural network (CNN) architectures for sea ice
classification using Sentinel-1 (S1) synthetic aperture radar (SAR) data by investigating two …

This study proposes a purely data-driven model for the weekly prediction of daily sea ice
concentration (SIC) of the pan-Arctic (90 N, 45 N, 180 E, 180 W) during the melting season …

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 …

Improved knowledge of the contributing sources of uncertainty in projections of Arctic sea ice
over the 21st century is essential for evaluating impacts of a changing Arctic environment …

Interest in seasonal predictions of Arctic sea ice has been increasing in recent years owing,
primarily, to the sharp reduction in Arctic sea-ice cover observed over the last few decades …