MT-IceNet -- A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. (arXiv:2308.04511v1 [physics.ao-ph])

Arctic amplification has altered the climate patterns both regionally and
globally, resulting in more frequent and more intense extreme weather events in
the past few decades. The essential part of Arctic amplification is the
unprecedented sea ice loss as demonstrated by satellite observations.
Accurately forecasting Arctic sea ice from sub-seasonal to seasonal scales has
been a major research question with fundamental challenges at play. In addition
to physics-based Earth system models, researchers have been applying multiple
statistical and machine learning …

arxiv climate deep learning events forecasting ice loss part patterns physics satellite temporal weather