AOSC Seminar by Dr. Kathy Breen, 9/8/2022

AOSC Seminar

Dr. Kathy Breen

NASA Goddard

Title: Physics-constrained deep learning parameterizations for AGCMs

Abstract:

I will discuss my recent work at NASA in physics-based and AI hybrid modeling applications wrt cloud microphysics and aerosol-cloud interactions. The objectives of this work are to 1) develop surrogate AI models for computationally expensive modules in AGCMS that parameterize the contribution of clouds and aerosols to net radiative balance and 2) use probabilistic modeling frameworks to assimilate sub-grid scale physics.

Bio:

Kathy Breen is an Associate Research Scientist with the Global Modeling and Assimilation Office at NASA GSFC. Before joining the GMAO, she was awarded a PhD from the Department of Geosciences at Baylor University in 2020. Her work focuses on applications of deep learning (DL) in Earth and Atmospheric sciences, specifically using DL to constrain GCM-simulated cloud formation, microphysics, and aerosol-cloud interaction parameterizations. In her free time, Kathy enjoys hiking, yoga, and making ceramics.

Contact: Maria Molina

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AOSC Seminar

Pre-seminar refreshment: N/A
Seminar: 3:30-4:30pm, Room: ATL 2400(only when in-person)
Meet-the-Speaker: 4:30-5:00pm, Room: ATL 3400(only when in-person) [For AOSC Students only]

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