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Tsunamis: Stochastic models of occurrence and generation mechanisms
Geist, E.L.; Oglesby, D.D. (2014). Tsunamis: Stochastic models of occurrence and generation mechanisms, in: Meyers, R.A. (Ed.) (2020). Encyclopedia of complexity and systems science. pp. 1-29. https://dx.doi.org/10.1007/978-3-642-27737-5_595-1
In: Meyers, R.A. (Ed.) (2020). Encyclopedia of complexity and systems science. Springer: New York. ISBN 978-3-642-27737-5. LXXX, 10370 pp. https://dx.doi.org/10.1007/978-3-642-27737-5, meer
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  • Geist, E.L.
  • Oglesby, D.D.
Abstract
    The devastating consequences of the 2004 Indian Ocean and 2011 Japan tsunamis have led to increased research into many different aspects of the tsunami phenomenon. In this entry, we review research related to the observed complexity and uncertainty associated with tsunami generation, propagation, and occurrence described and analyzed using a variety of stochastic methods. In each case, seismogenic tsunamis are primarily considered. Stochastic models are developed from the physical theories that govern tsunami evolution combined with empirical models fitted to seismic and tsunami observations, as well as tsunami catalogs. These stochastic methods are key to providing probabilistic forecasts and hazard assessments for tsunamis. The stochastic methods described here are similar to those described for earthquakes (Vere-Jones 2013) and volcanoes (Bebbington 2013) in this encyclopedia.
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