Now showing items 1-2 of 2

    • Advances in the subseasonal prediction of extreme events: relevant case studies across the globe 

      Domeisen, Daniela I. V.; White, Christopher J.; Afargan Gerstman, Hilla; Muñoz, Ángel G.; Janiga, Matthew A.; Lledó, Llorenç; Manrique Suñén, Andrea; Palma, Lluis; Soret, Albert (American Meteorological Society, 2022-06)
      Article
      Open Access
      Extreme weather events have devastating impacts on human health, economic activities, ecosystems, and infrastructure. It is therefore crucial to anticipate extremes and their impacts to allow for preparedness and emergency ...
    • Outcomes of the WMO Prize Challenge to Improve Subseasonal to Seasonal Predictions Using Artificial Intelligence 

      Vitart, Frederic; Robertson, Andrew W.; Spring, Aaron; Pinault, Florian; Roskar, Rok; Lledó, Llorenç; Palma, Lluis (American Meteorological Society (AMS), 2022)
      Article
      Open Access
      There is a high demand and expectation for subseasonal to seasonal (S2S) prediction, which provides forecasts beyond 2 weeks, but less than 3 months ahead. To assess the potential benefit of artificial intelligence (AI) ...