In Nature this week: Melting plot – deep learning powers year-round map of sea-ice thickness in the Arctic. Browse the full issue here:
The cover shows melting sea ice in the Arctic during August 2018 photographed from the Alfred Wegener Institute’s airborne sea-ice survey IceBird. Climate change is diminishing Arctic sea ice at rate unseen for some 1,000 years. But mapping sea-ice thickness during the crucial melt period from May to September has not readily been possible.
In this week’s issue,provide estimates of Arctic sea-ice thickness for the whole year. The researchers used deep learning and numerical simulations of observations collected by the ESA CryoSat-2 satellite to generate their data set for the melt period, verifying them with IceBird’s airborne measurements. The team hopes the year-round record for sea-ice thickness will enable better understanding of climate feedbacks in the Arctic.
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