Automatic, real-time detection and characterization of tsunamis in deep-sea level measurements

Author:

Beltrami Gian Mario

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference10 articles.

1. An ANN algorithm for automatic, real-time tsunami detection in deep-sea level measurements;Beltrami;Ocean Engineering,2008

2. Bressan, L., Tinti, S., 2010. Test of TEDA, Tsunami early detection algorithm. Geophysical Research Abstracts, EGU General Assembly 2010. EGU2010-6450-1.

3. Deep-ocean bottom pressure measurements in the northeast Pacific;Eble;Journal of Atmospheric and Oceanic Technology,1991

4. Eble, M.C., Stalin, S.E., 2007. Description of Real-time DART System Messages. Engineering Development Division. PMEL. NOAA. 〈http://nctr.pmel.noaa.gov/Dart/Pdf/dartMsgManual3.01.pdf〉.

5. Gonzalez, F.J, Milburn, H.M., Bernard, E.N., Newman, J.C., 1998. Deep-ocean assessment and reporting of tsunamis (DART): Brief overview and status report. In: Proceedings of the International Workshop on Tsunami Disaster Mitigation, Tokyo, Japan, pp. 118–129.

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