Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2603-2016
https://doi.org/10.5194/nhess-16-2603-2016
Research article
 | 
09 Dec 2016
Research article |  | 09 Dec 2016

Tsunami arrival time detection system applicable to discontinuous time series data with outliers

Jun-Whan Lee, Sun-Cheon Park, Duk Kee Lee, and Jong Ho Lee

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Latest update: 22 Apr 2024
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Short summary
Water level sensors often experience unexpected gaps and outliers that cause major difficulties in detecting tsunamis. Thus, we propose a tsunami arrival time detection system applicable to discontinuous time-series data with outliers. We want to stress that the efficiency and simplicity of the system enable its wide application in tsunami monitoring areas.
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