ORCID Profile
0000-0002-6567-5776
Current Organisations
CIGIDEN
,
Universidad Tecnica Federico Santa Maria
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Publisher: Elsevier BV
Date: 09-2019
Publisher: Elsevier BV
Date: 02-2019
Publisher: Coastal Education and Research Foundation
Date: 03-03-2016
DOI: 10.2112/SI75-070.1
Publisher: Coastal Education and Research Foundation
Date: 09-2014
DOI: 10.2112/SI71-001.1
Publisher: Oxford University Press (OUP)
Date: 27-02-2020
DOI: 10.1093/GJI/GGAA098
Abstract: We propose a method for defining the optimal locations of a network of tsunameters in view of near real-time tsunami forecasting using sea surface data assimilation in the near and middle fields, just outside of the source region. The method requires first the application of the empirical orthogonal function analysis to identify the potential initial locations, followed by an optimization heuristic that minimizes a cost-benefit function to narrow down the number of stations. We apply the method to a synthetic case of the 2015 Mw8.4 Illapel Chile earthquake and show that it is possible to obtain an accurate tsunami forecast for wave heights at near coastal points, not too close to the source, from assimilating data from three tsunameters during 14 min, but with a minimum average time lag of nearly 5 min between simulated and forecasted waveforms. Additional tests show that the time lag is reduced for tsunami sources that are located just outside of the area covered by the tsunameter network. The latter suggests that sea surface data assimilation from a sparse network of stations could be a strong complement for the fastest tsunami early warning systems based on pre-modelled seismic scenarios.
Publisher: American Geophysical Union (AGU)
Date: 22-05-2018
DOI: 10.1029/2018GL076998
Publisher: MDPI AG
Date: 02-01-2018
DOI: 10.3390/RS10010049
Publisher: Elsevier BV
Date: 12-2017
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