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Showing 1–2 of 2 results
Advanced filters: Author: Peter D. Düben Clear advanced filters

  • A hybrid model that combines a differentiable solver for atmospheric dynamics with machine-learning components is capable of weather forecasts and climate simulations on par with the best machine-learning and physics-based methods.

    • Dmitrii Kochkov
    • Janni Yuval
    • Stephan Hoyer
    ResearchOpen Access
    Nature
    Volume: 632, P: 1060-1066

  • Climate data are often stored at higher precision than is needed. The proposed compression automatically determines the precision from the data’s bitwise real information, removing any false information and leading to a more efficient compression.

    • Milan Klöwer
    • Miha Razinger
    • Tim N. Palmer
    ResearchOpen Access
    Nature Computational Science
    Volume: 1, P: 713-724