skip to content

Emulators for forecasting and UQ of natural hazards

Presented by: 
Elaine Spiller
Wednesday 7th February 2018 - 10:00 to 11:00
INI Seminar Room 1
Geophysical hazards – landslides, tsunamis, volcanic avalanches, etc. – which lead to catastrophic inundation are rare yet devastating events for surrounding communities. The rarity of these events poses two significant challenges. First, there are limited data to inform aleatoric scenario models, how frequent, how big, where. Second, such hazards often follow heavy-tailed distributions resulting in a significant probability that a larger-than-recorded catastrophe might occur. To overcome this second challenge, we must rely on physical models of these hazards to “probe” the tail for these catastrophic events. We will present an emulator-based strategy that allows great speed-up in Monte Carlo simulations for creating probabilistic hazard forecast maps. This approach offers the flexibility to explore both the impacts of epistemic uncertainties on hazard forecasts and of non-stationary scenario modeling on short term forecasts. Collaborators: Jim Berger (Duke), Eliza Calder (Edinburgh), Abani Patra (Buffalo), Bruce Pitman (Buffalo), Regis Rutarindwa (Marquette), Robert Wolpert (Duke)
The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons