HAL (France)
open access
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks
Accurate simulation of sea ice is critical for predictions of future Arctic sea ice loss, looming climate change impacts, and more. A key feature in Arctic sea ice is the formation of melt ponds. Each year melt ponds develop on the surface of the ice and primarily via affecting the albedo, they have
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