Email this article Algorithmic recognition of anomalous time intervals in sea-level observations
- Authors: Getmanov V.G.1,2, Gvishiani A.D.1,2, Kamaev D.A.3, Kornilov A.S.4
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Affiliations:
- Geophysical Center
- Schmidt Institute of Physics of the Earth
- NPO Taifun
- National Research Nuclear University Moscow Engineering Physics Institute
- Issue: Vol 52, No 2 (2016)
- Pages: 259-270
- Section: Article
- URL: https://journal-vniispk.ru/1069-3513/article/view/223605
- DOI: https://doi.org/10.1134/S1069351316020051
- ID: 223605
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Abstract
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.
About the authors
V. G. Getmanov
Geophysical Center; Schmidt Institute of Physics of the Earth
Author for correspondence.
Email: v.getmanov@gcras.ru
Russian Federation, ul. Molodezhnaya 3, Moscow, 119296; ul. B. Gruzinskaya 10, Moscow, 123995
A. D. Gvishiani
Geophysical Center; Schmidt Institute of Physics of the Earth
Email: v.getmanov@gcras.ru
Russian Federation, ul. Molodezhnaya 3, Moscow, 119296; ul. B. Gruzinskaya 10, Moscow, 123995
D. A. Kamaev
NPO Taifun
Email: v.getmanov@gcras.ru
Russian Federation, ul. Pobedy 4, Obninsk, 249038
A. S. Kornilov
National Research Nuclear University Moscow Engineering Physics Institute
Email: v.getmanov@gcras.ru
Russian Federation, Kashirskoe sh. 31, Moscow, 115409
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