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Titel Application of the NEAREST Tsunami Detection Algorithm to tide gauge data of Arena Cove, CA and Cordova, AK. An example of a synergy in the field of tsunami Early Warning within CoopEUS framework.
VerfasserIn Francesco Chierici, Laura Beranzoli, Mairi Best, Davide Embriaco, Paolo Favali, Nan Galbraith, Martin Heeseman, Deborah Kelly, Luca Pignagnoli, Benoit Pirenne, Oscar Scofield, Robert Weller, Nevio Zitellini
Konferenz EGU General Assembly 2015
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 17 (2015)
Datensatznummer 250112672
Publikation (Nr.) Volltext-Dokument vorhandenEGU/EGU2015-12840.pdf
 
Zusammenfassung
The development of Tsunami modeling and Tsunami Early Warning Systems able to operate in near-source areas is a common need for many coastal regions like Mediterranean, Juan de Fuca/NE Pacific Coast of North America, Indian Ocean archipelagos and Japan. These regions with the important exception of Mediterranean and North East Atlantic are presently covered by Tsunami Warning Systems and Ocean Bottom Observatories, in the frame of EMSO, OOI and ONC ocean networks equipped with a varieties of sensors, using different technologies, data formats and detection procedures. A significant improvement in efficiency, cost saving and detection reliability can be achieved by exchanging technologies and data and by harmonizing sensors metadata and instrument settings. To undertake a step in this direction we propose to apply the Tsunami Detection Algorithm, which was developed in the framework of NEAREST EU project for open ocean data in near source areas and is presently used by NEMO-SN1 EMSO abyssal observatory, to the tide gauge data of Arena Cove, CA and Cordova, AK. We show the first results of the application of the algorithm.