Searched for: subject%3A%22Seismic%255C+cycle%22
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Diab Montero, H.A. (author)
In this dissertation, I explore ensemble data assimilation methods to enhance our capability to forecast earthquakes and slow slip events, focusing on the critical challenge posed by limited information on the current stress state of faults. <br/>At the outset, the research acknowledges the inherent limitations in our current understanding of...
doctoral thesis 2024
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Diab Montero, H.A. (author), Størksen Stordal, Andreas (author), van Leeuwen, Peter Jan (author), Vossepoel, F.C. (author)
Probabilistic forecasts are regarded as the highest achievable goal when predicting earthquakes, but limited information on stress, strength, and governing parameters of the seismogenic sources affects their accuracy. Ensemble data-assimilation methods, such as the Ensemble Kalman Filter (EnKF), estimate these variables by combining physics...
working paper 2024
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Diab Montero, H.A. (author), Li, Meng (author), van Dinther, Ylona (author), Vossepoel, F.C. (author)
Our ability to forecast earthquakes and slow slip events is hampered by limited information on the current state of stress on faults. Ensemble data assimilation methods permit estimating the state by combining physics-based models and observations, while considering their uncertainties. We use an ensemble Kalman filter (EnKF) to estimate...
journal article 2023