Inverse Problems Seminar: Characterizing future coastal risks through probabilistic inversion

Inverse Problems Seminar
Characterizing future coastal risks through probabilistic inversion

Dr. Tony Wong
Assistant Professor
School of Mathematical Sciences, RIT

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Abstract:
Future sea-level rise poses severe risks for many coastal communities. The development of strategies to manage these risks hinges on a sound characterization of the often deep uncertainties. For example, recent studies suggest that large fractions of the Antarctic ice sheet may rapidly disintegrate in response to rising global temperatures, leading to potentially several meters of sea-level rise during the next few centuries. Whether such an Antarctic ice sheet disintegration will be triggered and if so, the resulting contributions to local sea-level rise, are deeply uncertain. In this talk, we will explore probabilistic methods for inferring likely values for the parameters governing these Antarctic dynamics. We will sample a wide range of future scenarios in order to characterize the implications of these uncertainties for managing risks in coastal areas, and assess what are the key drivers of coastal hazards.

Speaker Bio:
Tony is an Assistant Professor in the School of Mathematical Sciences at RIT. His research is centered around the fact that uncertainty is inherent in any mathematical model and in any data set, yet we rely on both as tools for decision-making. Tony’s research focuses on uncertainty quantification (how uncertain are we?) and model calibration (can we use data to be more certain?) in geophysical and climate models. Tony is most interested in applications in managing the risks posed by dangerous climate changes such as increasing global temperatures and sea levels. Prior to joining RIT, Tony held positions as an Instructor in Computer Science at the University of Colorado Boulder and as a Postdoctoral Scholar at Penn State's Earth and Environmental Systems Institute.

Intended Audience:
Undergraduates, graduates, and experts. Those with interest in the topic.

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