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PhD position: Tsunami Forecasting
Research School of Earth Sciences, Australian National University
Summary
The candidate will develop techniques for the rapid inversion of multi-sensor data for earthquake fault rupture and tsunamisources. The different types of data will include near-field and far-field seismic waveforms and continuous GPS measurements,as well as aftershock and sea level data. The research should explore ways in which these results can be used to drive atsunami forecast that accounts for the complex nature of uncertainty in tsunami initial condition.
Research Project
The 2004 Indian Ocean Tsunami (IOT) tragically demonstrated that tsunamis are a major threat to coastal populationsand infrastructure, and led to a flurry of activity in the development of tsunami warning systems (TWSs). Despite this,warning systems in operation today are not as effective as they could be, because their warning levels apply to entire oceanbasins or swaths of coastline 1000s of km in extent. This project is aimed at the challenges that need to be addressed inorder to build next generation TWSs capable of producing rapid, robust and detailed forecasts. Today’s TWSs typicallyuse pre-computed tsunami scenarios to tailor warnings to specific events, but the suite of scenarios is often limited. Also,because the uncertainty in this process is not presently quantifiable, current TWSs often issue overly conservative warnings.
This project will develop new methods for tsunami forecasting based on the real-time assimilation of different types ofdata - seismic, geodetic, and sea level. The forecasts should adapt to the changing information on tsunami initial conditioninferred from the assimilated data, and should include information about the forecast error that evolves with the inferreduncertainty in this initial condition.
This position is supported by an Australian Research Council Discovery Project to undertake research in new methodsfor real-time multi-sensor data assimilation and tsunami forecasting. It is open to all candidates with a strong backgroundin physics, geophysics, or applied mathematics. Of particular interest are candidates with expertise in earthquake sourcecharacterization or tsunami modelling techniques, and who have an interest in real-time, data driven algorithms.
The Australian National University’s Research school of Earth Sciences
The Earth Physics Area of the Research School of Earth Sciences (RSES) combines world-leading expertise in earthquake,tsunami and data inference science. RSES carries out a diverse range of research into the physics, chemistry, materialproperties and environmental conditions of the Earth, and hosts the Centre for Advanced Data Inference (CADI). CADI hasits own Terrawulf III computing cluster, and in addition the ANU also hosts the national facility for computing infrastructureon campus. RSES also has close interaction with Geoscience Australia, where the seismological component of the JointAustralian Tsunami Warning System is located.
For additional information
Please send a cover letter and CV to Sebastien Allgeyer or Prof. Phil Cummins.Contact email: [email protected], [email protected]
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