Spring til hovednavigation Spring til søgning Spring til hovedindhold

Data-driven modelling of hydraulic-head time series: results and lessons learned from the 2022 Groundwater Time Series Modelling Challenge

  • Raoul A. Collenteur
  • , Ezra Haaf
  • , Mark Bakker
  • , Tanja Liesch
  • , Andreas Wunsch
  • , Jenny Soonthornrangsan
  • , Jeremy White
  • , Nick Martin
  • , Rui Hugman
  • , Ed de Sousa
  • , Didier Vanden Berghe
  • , Xinyang Fan
  • , Tim J. Peterson
  • , Jānis Bikše
  • , Antoine Di Ciacca
  • , Xinyue Wang
  • , Yang Zheng
  • , Maximilian Nölscher
  • , Julian Koch
  • , Raphael Schneider
  • Nikolas Benavides Höglund, Sivarama Krishna Reddy Chidepudi, Abel Henriot, Nicolas Massei, Abderrahim Jardani, Max Gustav Rudolph, Amir Rouhani, J. Jaime Gómez-Hernández, Seifeddine Jomaa, Anna Pölz, Tim Franken, Morteza Behbooei, Jimmy Lin, Rojin Meysami

Publikation: Bidrag til tidsskriftArtikelForskningpeer review

12 Citationer (Scopus)

Fingeraftryk

Dyk ned i forskningsemnerne om 'Data-driven modelling of hydraulic-head time series: results and lessons learned from the 2022 Groundwater Time Series Modelling Challenge'. Sammen danner de et unikt fingeraftryk.
Sorter

Mathematics

Earth and Planetary Sciences

Agricultural and Biological Sciences

Engineering