Browsing NTNU Open by Journals "Quarterly Journal of the Royal Meteorological Society"

Now showing items 1-2 of 2

    • Comparison of ensemble-based data assimilation methods for sparse oceanographic data 

      Beiser, Florian; Holm, Håvard Heitlo; Eidsvik, Jo (Peer reviewed; Journal article, 2023-12-10)
      Probabilistic forecasts in oceanographic applications, such as drift trajectory forecasts for search-and-rescue operations, face challenges due to high-dimensional complex models and sparse spatial observations. We discuss ...

    • A revised implicit equal-weights particle filter 

      Skauvold, Jacob; Eidsvik, Jo; van Leeuwen, Peter Jan; Amezcua, Javier (Peer reviewed; Journal article, 2019)
      Particle filters are fully nonlinear data assimilation methods and as such are highly relevant. While the standard particle filter degenerates for high‐dimensional systems, recent developments have opened the way for new ...