SLNSW-A method for assessment of the general circulatio...-TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

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

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

Author/creator: Raudsepp, Urmas, Maljutenko, Ilja.

Call Numbers:

Record Identifier: TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

Language: English

Formats: Articles

Publishers: Katlenburg-Lindau: Copernicus GmbH

Permalink: https://collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

Articles

Articles

Export this record

Export selected records

  • Export to excel
  • Permalink

    • Export record to excel

    File type to download

    Beta version

    Record title

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

    Record identifier

    TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

    Record permalink

    https://collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

    Share

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

    ACCESS
    https://collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

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

    Full title

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

    Author / Creator

    Raudsepp, Urmas ; Maljutenko, Ilja

    Publisher

    Katlenburg-Lindau: Copernicus GmbH

    Journal title

    Geoscientific Model Development, 2022, Vol.15 (2), p.535-551

    Record Identifier

    TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

    Language

    English

    Formats

    Articles

    Publication information

    Publisher

    Subjects

    Subjects and topics

    Accuracy Algorithms Analysis Case studies Centroids Cluster analysis Clustering Dimensional analysis Elbow Errors General circulation models Learning algorithms Machine learning Methods Model accuracy Quality Quality assessment Quality control Rivers Saline water Salinity Salinity effects Simulation Temperature Variables Vector quantization

    More information

    — SCOPE AND CONTENTS

    Contents

    — ALTERNATIVE TITLES

    Full title

    — AUTHORS, ARTISTS AND CONTRIBUTORS

    Author / Creator

    Identifiers

    — PRIMARY IDENTIFIERS

    Record Identifier

    TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

    Permalink

    https://collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d86123c71704bc2a014ab88e6a1a65b

    — OTHER IDENTIFIERS

    ISSN

    E-ISSN

    DOI

    How to access this item

    Online

    1 item

    How to access?

    Login with a Library card

    Full text available >

    View in old catalogue

    Connecting people and collections