Geophysical Fluid Dynamics: General

Presentations

• Fluid-driven fractures in layered hydrogels

  ORAL

  Nov. 21, 2022, 1:25 PM – Nov. 21, 2022, 1:38 PM

  Presenters

  • Emilie Dressaire

    • University of California, Santa Barbara

  Authors

  • Emilie Dressaire

    • University of California, Santa Barbara

  • Marie C Sigallon

    • University of California, Santa Barbara

  • Sri Savya Tanikella

    • University of California, Santa Barbara

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• Using Fire Dynamic Simulator (FDS) to Augment Laboratory Scale Fires

  ORAL

  Nov. 21, 2022, 1:38 PM – Nov. 21, 2022, 1:51 PM

  Presenters

  • Sanika Nishandar

    • University of California, Riverside

  Authors

  • Sanika Nishandar

    • University of California, Riverside

  • Yucheng He

    • University of California, Riverside

  • Marko Princevac

    • University of California, Riverside

  • David Weise

    • USDA, Forest Service Pacific Southwest Research Station

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• A data-driven prediction of atmospheric flow for urban air mobility using deep neural network

  ORAL

  Nov. 21, 2022, 1:51 PM – Nov. 21, 2022, 2:04 PM

  Presenters

  • Yedam Lee

    • KAIST

  Authors

  • Yedam Lee

    • KAIST

  • Sang Lee

    • Korea Advanced Institute of Science and Technology
    • KAIST

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• Numerical investigation of Monin-Obukhov functions for CO₂ and H₂O in the Roughness Sublayer

  ORAL

  Nov. 21, 2022, 2:04 PM – Nov. 21, 2022, 2:17 PM

  Presenters

  • Einara Zahn

    • Princeton University, Atmospheric and Oceanic Sciences

  Authors

  • Einara Zahn

    • Princeton University, Atmospheric and Oceanic Sciences

  • Khaled Ghannam

    • Princeton University, Atmospheric and Oceanic Sciences

  • Nelson L Dias

    • Federal University of Parana

  • Elie R Bou-Zeid

    • Princeton University

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• Probabilistic learning for predictive modeling of climate variability

  ORAL

  Nov. 21, 2022, 2:17 PM – Nov. 21, 2022, 2:30 PM

  Publication: 1. Nadiga, B. T. (2021). Reservoir computing as a tool for climate predictability studies. Journal of Advances in Modeling Earth Systems, 13(4), e2020MS00229
  2. Luo et al. (2022) A Bayesian Deep Learning Approach to Near-Term Climate Prediction, JAMES (under review), arXiv preprint arXiv:2202.11244 (2022).

  Presenters

  • Balu Nadiga

    • Los Alamos Natl Lab

  Authors

  • Balu Nadiga

    • Los Alamos Natl Lab

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• Spatio-temporal interactions between large-scale climate oscillations and extreme-temperature events

  ORAL

  Nov. 21, 2022, 2:30 PM – Nov. 21, 2022, 2:43 PM

  Presenters

  • Luminita Danaila

    • Université de Rouen

  Authors

  • Manuel Fossa

    • University of Rouen Normandy M2C

  • Luminita Danaila

    • Université de Rouen

  • Michael Ghil

    • University of California, Los Angeles

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• The role of fluid mechanics in building a resilient, food secure future

  ORAL

  Nov. 21, 2022, 2:43 PM – Nov. 21, 2022, 2:56 PM

  Presenters

  • Christopher Dougherty

    • Cornell University

  Authors

  • Christopher Dougherty

    • Cornell University

  • Chris Roh

    • Cornell University

  • David Kremers

    • Caltech

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• A toy model of plate tectonics

  ORAL

  Nov. 21, 2022, 2:56 PM – Nov. 21, 2022, 3:09 PM

  Presenters

  • Jinzi M Huang

    • NYU Shanghai

  Authors

  • Jinzi M Huang

    • NYU Shanghai

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• Simulation and modeling of settling in polydisperse gas-solid flows

  ORAL

  Nov. 21, 2022, 3:09 PM – Nov. 21, 2022, 3:22 PM

  Presenters

  • Emily Foster

    • Oakland University

  Authors

  • Emily Foster

    • Oakland University

  • Sarah Beetham

    • Oakland University

  • Eric Breard, Ph.D.

    • University of Edinburgh

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