JuliaCon 2022 (Times are UTC)

Patrick Heimbach

I am a computational oceanographer, professor in the Jackson School of Geosciences, and W. A. “Tex” Moncrief, Jr., chair III in Simulation-Based Engineering and Sciences in the Oden Institute at the University of Texas at Austin. At UT, I direct the CRIOS-UT.github.io group.

My research focuses on ocean and ice dynamics and their role in the global climate system. A computational focus is the use of inverse methods and automatic differentiation applied to ocean and sea ice model parameter and state estimation, uncertainty quantification and observing system design. I earned my Ph.D. from the Max-Planck-Institute for Meteorology and the University of Hamburg, Germany. Prior to joining UT, I spent 16 years at MIT. I am the lead-PI of an NSF CSSI project DJ4Earth.github.io (since 08/2021).


Differentiable Earth system models in Julia
Chris Hill, Patrick Heimbach, Boris Kaus, Nora Loose, Mathieu Morlighem, Sri Hari Krishna Narayanan, Sarah Williamson

This minisymposium will feature the use of the differentiable programming paradigm applied to Earth System Models (ESMs). The goal is to exploit derivative information and seamlessly combine PDE-constrained optimization and scientific machine learning (SciML). Speakers will address (1) Why differentiable programming for ESMs; (2) What ESM applications are we targeting?; and (3) How are we realizing differentiable ESMs? Target ESMs include ice sheet, ocean, and solid Earth models.