A Novel Synergy of Physics-based and Data-driven Methods for Reliable Hydrological Predictions under Changing Climate

  • Schumacher, Maike (PI (principal investigator))
  • Forootan, Ehsan (CoI (co-investigator))
  • Döll, Petra (CoI (co-investigator))
  • Wedi, Nils (CoI (co-investigator))
  • Bates, Paul (CoI (co-investigator))
  • Jagdhuber, Thomas (CoI (co-investigator))
  • van Dijk, Albert IJM (CoI (co-investigator))

Projektdetaljer

Beskrivelse

Improving predictions of extreme hydrometeorological events is essential for reaching sustainable goals under climate change. To meet this demand, I will develop novel frameworks to combine ensembles of hydrological models with various satellite and in-situ Earth observations through physics-based calibration/assimilation and data-driven methods. This project will provide new scientific insights into processes that lead to floods and droughts. The grant will fund two Ph.D. students and one postdoc.

StatusIgangværende
Effektiv start/slut dato01/04/2024 → 31/03/2029

Finansiering

  • Villum Fonden: 6.984.649,00 kr.

Links

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