Evaluating the application of deep-learning ensemble sea level and storm surge forecasting in the Baltic Sea

statement of authorship
A. Barzandeh, M. Rus, M. Ličer, I. Maljutenko, J. Elken, P. Lagemaa, R. Uiboupin
source
Extremes in marine environment: analysis of multi-temporal and multi-scales dynamics using observations, models and machine learning techniques
location of publication
Vienna, Austria
publisher
year of publication
conference name, date
EGU General Assembly 2024, 14–19 April 2024
conference location
Vienna, Austria & Online
subject term
subject of location
scientific publication
teaduspublikatsioon
classifier
5.2
TalTech department
language
English
Barzandeh, A., Rus, Marko, Ličer, Matjaž, Maljutenko, Ilja, Elken, Jüri, Lagemaa, P., Uiboupin, R. Evaluating the application of deep-learning ensemble sea level and storm surge forecasting in the Baltic Sea // Extremes in marine environment: analysis of multi-temporal and multi-scales dynamics using observations, models and machine learning techniques. Vienna, Austria : Copernicus GmbH, 2024. https://doi.org/10.5194/egusphere-egu24-17233