Algorithmic recognition of anomalous time intervals in sea-level observations |
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| Authors: | V G Getmanov A D Gvishiani D A Kamaev A S Kornilov |
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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. |
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