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Machine Learning to improve and understand sub-seasonal forecasts of European temperature

  • 20 November, 2023
  • 09:45
  • VU University Amsterdam, Institute for Environmental Studies (IVM)
  • Prof. B.J.J.M. van den HurkProf. D. Coumou
  • Dr M.J. SchmeitsDr K. Whan

Each year Europe is subject to drought, heatwaves and periods of persistent rainfall that could lead to the flooding of rivers. Although short-range weather forecasts have improved substantially over the last decennia, long-range weather forecasts have improved less. The goal of this project is to improve these long-term probabilistic forecasts of extreme weather. Warnings can then be given earlier and more reliably. Long meteorological datasets and newly developed statistical post-processing methods enable us to better integrate the relevant information, and correct shortcomings of operational ensemble prediction systems.


J.W. (Chiem) van Straaten

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