Seminar «Maskinlæring innen hydrologi og meteorologi» 25. april – se presentasjonene
Norsk hydrologiråd arrangerte, i samarbeid med Statkraft og Meteorologisk institutt seminaret «Machine Learning in Hydrology, Meteorology and related fields» 25. april på Statkraft, Lilleaker i Oslo.
Presentasjoner
Martin Gauch (Google Research): Deep Learning for Streamflow Forecasting: Tricks of the Trade
Karsten Muller (Norwegian Water Resources and Energy Directorate): ML in Avalanche Warning
Elhadi Mohsen Hassan Abdalla (SINTEF): Applications of ML in Urban Hydrology and Stormwater Management
Ivar Ambjørn Seierstad (Norwegian Meteorological Institute): Towards data driven regional weather forecasting
Lasse T. Keetz (Dep. Of Geosciences, University of Oslo): ML in ecosystems modelling – land cover classification and land surface model parameter estimation
John Bjørnar Bremnes (Norwegian Meteorological Institute): Fine-tuning probabilistic precipitation forecasts using censored Bernstein Quantile Networks
Kristoffer Aalstad (Dep. Of Geosciences, University of Oslo): Learning to assimilate and assimilating to learn
Kamilla Wergeland/ Silius M. Vandeskog (NORCE/NR): Predicting streamflow and hydropower production with Long Short-Term Memory models
Kristen Joy Valseth (Dep. Mathematics, University of Oslo): The CAMELS-Nordic dataset for hydrological ML studies
