Snow is a critically important and rapidly
changing feature of the Arctic. However, snow-cover and
snowpack conditions change through time pose challenges
for measuring and prediction of snow. Plausible scenarios
of how Arctic snow cover will respond to changing Arctic
climate are important for impact assessments and
adaptation strategies. Although much progress has been
made in understanding and predicting snow-cover changes
and their multiple consequences, many uncertainties
remain. In this paper, we review advances in snow
monitoring and modelling, and the impact of snow
changes on ecosystems and society in Arctic regions.
Interdisciplinary activities are required to resolve the
current limitations on measuring and modelling snow
characteristics through the cold season and at different
spatial scales to assure human well-being, economic
stability, and improve the ability to predict manage and
adapt to natural hazards in the Arctic region.
