Quantification of hydrodynamic model sea level bias utilizing deep learning and synergistic integration of data sources
author
Jahanmard, Vahidreza
Hordoir, Robinson
Delpeche-Ellmann, Nicole Camille
Ellmann, Artu
statement of authorship
Vahidreza Jahanmard, Robinson Hordoir, Nicole Delpeche-Ellmann, Artu Ellmann
source
Ocean modelling
publisher
Elsevier
journal volume number month
vol. 186
year of publication
2023
pages
art. 102286 : ill., map
url
https://doi.org/10.1016/j.ocemod.2023.102286
subject term
hüdrodünaamika
topograafia
sügavõpe
hüdrogeoloogia
meretase
andmed
keyword
absolute dynamic topography
hydrodynamic model
deep learning network
post-processing
vertical reference datum
hydrogeodesy
ISSN
1463-5011
notes
Bibliogr. p. 16-17
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/28352
https://www.scopus.com/record/display.uri?eid=2-s2.0-85177483669&origin=inward&txGid=3a64aef42b149cf6dbab6aa03afebadd
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=OCEAN%20MODEL&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:001119092700001
category (general)
Computer science
Arvutiteadus
Earth and planetary sciences
Maa- ja planeediteadused
category (sub)
Computer science. Computer science (miscellaneous)
Arvutiteadus. Arvutiteadus (mitmesugused)
Earth and planetary sciences. Oceanography
Maa- ja planeediteadused. Okeanograafia
Earth and planetary sciences. Geotechnical engineering and engineering geology
Maa- ja planeediteadused. Geotehniline tehnika ja insenerigeoloogia
Earth and planetary sciences. Atmospheric science
Maa- ja planeediteadused. Atmosfääriteadus
quartile
Q1
TalTech department
ehituse ja arhitektuuri instituut
küberneetika instituut
language
inglise
Reserch Group
Wave engineering research group