Abstract The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics
and performance metrics tool designed to improve comprehensive and routine evaluation of …

Compared to the Arctic, seasonal predictions of Antarctic sea ice have received relatively
little attention. In this work, we utilize three coupled dynamical prediction systems developed …

This article is composed of three independent commentaries about the state of Integrated,
Coordinated, Open, Networked (ICON) principles in the American Geophysical Union …

The Arctic sea ice decline and associated change in maritime accessibility have created a
pressing need for sea ice thickness (SIT) predictions. This study developed a linear Markov …

Numerical systems used for weather and climate predictions have substantially improved
over past decades. We argue that despite a continued need for further addressing remaining …

The Arctic environment is changing, increasing the vulnerability of local communities and
ecosystems, and impacting its socio-economic landscape. In this context, weather and …

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

Because of a spring predictability barrier, the seasonal forecast skill of Arctic summer sea ice
is limited by the availability of melt‐season sea ice thickness (SIT) observations. The first …

The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and
performance metrics tool designed to improve comprehensive and routine evaluation of …

We use model simulations from the CESM1-CAM5-BGC-LE dataset to characterise the
Arctic sea ice thickness internal variability both spatially and temporally. These properties …