51 citations · 286 across the 29 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
physics.ao-ph2022★ 1 cited
Stochastic Parameterization of Column Physics using Generative Adversarial Networks
B. T. Nadiga, X. Sun, C. Nash
We demonstrate the use of a probabilistic machine learning technique to develop stochastic parameterizations of atmospheric column-physics. After suitable preprocessing of NASA's M…
physics.comp-ph2022
A Deep Finite Difference Emulator for the Fast Simulation of Coupled Viscous Burgers' Equation
Xihaier Luo, Yihui Ren, Wei Xu +3
This work proposes a deep learning-based emulator for the efficient computation of the coupled viscous Burgers' equation with random initial conditions. In a departure from traditi…
physics.ao-ph2022★ 17 cited
A Bayesian Deep Learning Approach to Near-Term Climate Prediction
Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren +3
Since model bias and associated initialization shock are serious shortcomings that reduce prediction skills in state-of-the-art decadal climate prediction efforts, we pursue a comp…