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AI applications in Weather and Climate I

FOCUS · MAR-F45 · ID: 3091930

Presentations

  • Data Assimilation for Wildfire Spread Modeling with Conditional Generative Models

    ORAL

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    Presenters

    • Bryan Shaddy

      University of Southern California

    Authors

    • Bryan Shaddy

      University of Southern California

    • Brianna Binder

      University of Southern California

    • Agnimitra Dasgupta

      University of Southern California

    • Haitong Qin

      University of Southern California

    • James Haley

      Cooperative Institute for Research in the Atmosphere, Colorado State University

    • Angel Farguell

      San Jose State University

    • Kyle Hilburn

      Cooperative Institute for Research in the Atmosphere, Colorado State University

    • Adam Kochanski

      San Jose State University

    • Jan Mandel

      University of Colorado Denver

    • Assad Oberai

      University of Southern California

    View abstract →

  • Tests of Normal versus Anomalous Diffusion of Tropical Cyclones using Huge Ensembles of Machine-Learning-based Climate Emulators

    ORAL

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    Publication: Mahesh, Ankur, William D. Collins, Boris Bonev, Noah Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Josh North, Travis O'Brien, Mike Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, and Jared Willard, 2024: Huge Ensembles Part I: Design and generation of ensemble weather forecasts using Spherical Fourier Neural Operators. Submitted to Geoscientific Method Development, doi: 10.48550/arXiv.2408.03100<br><br>Mahesh, Ankur, William D. Collins, Boris Bonev, Noah Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Josh North, Travis O'Brien, Mike Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, and Jared Willard, 2024: Huge Ensembles Part II: Properties of a huge ensemble of hindcasts using Spherical Fourier Neural Operators. Submitted to Geoscientific Method Development, doi:10.48550/arXiv.2408.01581

    Presenters

    • William Collins

      Lawrence Berkeley National Laboratory

    Authors

    • William Collins

      Lawrence Berkeley National Laboratory

    • Ankur D Mahesh

      Lawrence Berkeley National Laboratory and UC Berkeley

    • Abdoul Zeba

      Ecole Polytechnique

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  • Tackling the Spectral Bias of Neural Networks for Multiscale Flows

    ORAL

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    Publication: Wang, Yongji, and Ching-Yao Lai. "Multi-stage neural networks: Function approximator of machine precision." Journal of Computational Physics 504 (2024): 112865.<br>Ng, Jakin, Yongji Wang, and Ching-Yao Lai. "Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision." arXiv preprint arXiv:2407.17213 (2024).

    Presenters

    • Ching-Yao Lai

      Stanford University

    Authors

    • Ching-Yao Lai

      Stanford University

    • Yongji Wang

      New York University

    View abstract →