AI applications in Weather and Climate I

FOCUS · MAR-F45 · ID: 3091930

Presentations

  • 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 →

  • 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

    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

    View abstract →

  • 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.
    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 →