Abstract
Operational Earthquake Forecasting (OEF) aims to deliver timely and reliable forecasts that may help to mitigate seismic risk during earthquake sequences. In this paper, we build the first OEF system for the State of Israel, and we evaluate its reliability. This first version of the OEF system is composed of one forecasting model, which is based on a stochastic clustering Epidemic Type Earthquake Sequence (ETES) model. For every day of the forecasting time period, January 1, 2016 - November 15, 2020, the OEF-Israel system produces a weekly forecast for target earthquakes with local magnitudes greater than 4.0 and 5.5 in the entire State of Israel. Specifically, it provides space-time-dependent seismic maps of the weekly probabilities, obtained by using a fixed set of the model’s parameters, which are estimated through the maximum likelihood technique based on a learning period of about 32 years (1983–2015). According to the guidance proposed by the Collaboratory for the Study of Earthquake Predictability (CSEP), we also perform the N- and S-statistical tests to verify the reliability of the forecasts. Results show that the OEF system forecasts a number of events comparable to the observed one, and also captures quite well the spatial distribution of the real catalog with the exception of two target events that occurred in low seismicity regions.
Original language | English |
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Article number | 729282 |
Journal | Frontiers in Earth Science |
Volume | 9 |
DOIs | |
State | Published - 7 Sep 2021 |
Bibliographical note
Publisher Copyright:© Copyright © 2021 Falcone, Spassiani, Ashkenazy, Shapira, Hofstetter, Havlin and Marzocchi.
Funding
This work has been supported by the bilateral Italy-Israel project “Enhancing OPerational Earthquake foRecasting through innovative Approaches (OPERA)”, which has been funded by the Ministry of foreign affairs and international cooperation of the Italian republic and the Ministry of science, technology and space of the State of Israel, and by the Real-time Earthquake Risk Reduction for a Resilient Europe (RISE) project, funded by the European Unions Horizon 2020 research and innovation program (Grant Agreement Number 821115).
Funders | Funder number |
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Horizon 2020 Framework Programme | |
Ministry of Science, Technology and Space | |
Horizon 2020 | 821115 |
Keywords
- ETES model
- operational earthquake forecasting
- reliable forecasts
- seismic predictability in the short-term
- statistical tests