A method for assessment of the general circulation model quality using the K -means clustering algorithm: a case study with GETM v2.5

The model's ability to reproduce the state of the simulated object or particular feature or phenomenon is always a subject of discussion. Multidimensional model quality assessment is usually customized for the specific focus of the study and often for a limited number of locations. In this pape...

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Veröffentlicht in:	Geoscientific Model Development Jg. 15; H. 2; S. 535 - 551
Hauptverfasser:	Raudsepp, Urmas, Maljutenko, Ilja
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Katlenburg-Lindau Copernicus GmbH 25.01.2022 Copernicus Publications
Schlagworte:	Accuracy Algorithms Analysis Case studies Centroids Cluster analysis Clustering Dimensional analysis Elbow Errors General circulation models Learning algorithms Machine learning Methods Model accuracy Quality assessment Quality control Rivers Saline water Salinity Salinity effects Simulation Temperature Variables Vector quantization Gulf of Riga North Sea Gulf of Bothnia Gulf of Finland Baltic Sea Gotland (island)
ISSN:	1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
Online-Zugang:	Volltext
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