A method for assessment of the general circulation model quality using the K-means clustering algorithm : a case study with GETM v2.5
author
Raudsepp, Urmas
Maljutenko, Ilja
statement of authorship
Urmas Raudsepp and Ilja Maljutenko
source
Geoscientific model development
publisher
European Geosciences Union
journal volume number month
vol. 15, 2
year of publication
2022
pages
p. 535-551
url
https://doi.org/10.5194/gmd-15-535-2022
subject term
tehisõpe
algoritmid
vead
ISSN
1991-959X
1991-9603
notes
Bibliogr.: 49 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100197121
https://www.scopus.com/record/display.uri?eid=2-s2.0-85124073504&origin=inward&txGid=44a148bd23d83a7ff7dc4b8b77df4da3
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=GEOSCI%20MODEL%20DEV&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000751173300001
category (general)
Mathematics
Earth and planetary sciences
Matemaatika
Maa- ja planeediteadused
category (sub)
Mathematics. Modeling and simulation
Earth and planetary sciences. General earth and planetary sciences
Matemaatika. Modelleerimine ja simulatsioon
Maa- ja planeediteadused. Üldised maa- ja planeediteadused
quartile
Q1
TalTech department
meresüsteemide instituut
language
inglise
Reserch Group
Research group on modelling and remote sensing of marine dynamics