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Showing 1–2 of 2 results
Advanced filters: Author: María Pérez-Ortiz Clear advanced filters

  • Accurate seasonal forecasts of sea ice are highly valuable, particularly in the context of sea ice loss due to global warming. A new machine learning tool for sea ice forecasting offers a substantial increase in accuracy over current physics-based dynamical model predictions.

    • Tom R. Andersson
    • J. Scott Hosking
    • Emily Shuckburgh
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-12