Short- and long-term prediction of length of day time series using a combination of MCSSA and ARMA
Short- and long-term prediction of length of day time series using a combination of MCSSA and ARMA
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Berlin/Heidelberg: Springer Berlin Heidelberg
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English
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Berlin/Heidelberg: Springer Berlin Heidelberg
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Accurately predicting Earth’s rotation rate, as represented by Length of Day (LOD) variations, is essential for applications such as satellite navigation, climate studies, geophysical research, and disaster prevention. However, predicting LOD is challenging due to its sensitivity to various geophysical and meteorological factors. Current methods, i...
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Short- and long-term prediction of length of day time series using a combination of MCSSA and ARMA
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TN_cdi_doaj_primary_oai_doaj_org_article_fae9bc186e904c1cb599cae9e2a7f836
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fae9bc186e904c1cb599cae9e2a7f836
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ISSN
1880-5981,1343-8832
E-ISSN
1880-5981
DOI
10.1186/s40623-025-02166-0
