Enviar artigo por via de e-mail Algorithmic recognition of anomalous time intervals in sea-level observations
- Autores: Getmanov V.G.1,2, Gvishiani A.D.1,2, Kamaev D.A.3, Kornilov A.S.4
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Afiliações:
- Geophysical Center
- Schmidt Institute of Physics of the Earth
- NPO Taifun
- National Research Nuclear University Moscow Engineering Physics Institute
- Edição: Volume 52, Nº 2 (2016)
- Páginas: 259-270
- Seção: Article
- URL: https://journals.rcsi.science/1069-3513/article/view/223605
- DOI: https://doi.org/10.1134/S1069351316020051
- ID: 223605
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Resumo
The problem of the algorithmic recognition of anomalous time intervals in the time series of the sea-level observations conducted by the Russian Tsunami Warning Survey (RTWS) is considered. The normal and anomalous sea-level observations are described. The polyharmonic models describing the sea-level fluctuations on the short time intervals are constructed, and sea-level forecasting based on these models is suggested. The algorithm for the recognition of anomalous time intervals is developed and its work is tested on the real RTWS data.
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Sobre autores
V. Getmanov
Geophysical Center; Schmidt Institute of Physics of the Earth
Autor responsável pela correspondência
Email: v.getmanov@gcras.ru
Rússia, ul. Molodezhnaya 3, Moscow, 119296; ul. B. Gruzinskaya 10, Moscow, 123995
A. Gvishiani
Geophysical Center; Schmidt Institute of Physics of the Earth
Email: v.getmanov@gcras.ru
Rússia, ul. Molodezhnaya 3, Moscow, 119296; ul. B. Gruzinskaya 10, Moscow, 123995
D. Kamaev
NPO Taifun
Email: v.getmanov@gcras.ru
Rússia, ul. Pobedy 4, Obninsk, 249038
A. Kornilov
National Research Nuclear University Moscow Engineering Physics Institute
Email: v.getmanov@gcras.ru
Rússia, Kashirskoe sh. 31, Moscow, 115409
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