Reanalysis of ocean model-based dynamic topography utilizing deep neural network and geoid-referenced observations
author
Jahanmard, Vahidreza
Delpeche-Ellmann, Nicole Camille
Ellmann, Artu
statement of authorship
Vahidreza Jahanmard, Nicole Delpeche-Ellmann, Artu Ellmann
source
2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium
publisher
Universite de Liege
year of publication
2023
pages
1 p
conference name, date
54th International Liège Colloquium : Machine Learning and Data Analysis in Oceanography - 8 to 12 may 2023
conference location
Liege, Belgium
url
https://fsc-cloud46.segi.ulg.ac.be/PresentationManager/colloquium/2023/abstracts/2023-01-25_21:01:49_IP_217.136.175.23.pdf
subject term
topograafia
geoid
sügavõpe
ookeanid
geodeesia
subject of location
Läänemeri
keyword
dynamic topography
geoid
deep learning (DL)
data assimilation
ocean models
hydrogeodesy
Baltic Sea
scientific publication
teaduspublikatsioon
classifier
5.2
TalTech department
ehituse ja arhitektuuri instituut
küberneetika instituut
language
inglise