105 citations · 154 across the 5 of their papers we have counts for
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cs.LG2026
Distilling deep optical flow stereo methods to retrieve dense three-dimensional wind fields
Thomas J. Vandal, Dong L. Wu, James L. Carr +5
Geostationary atmospheric motion vectors (AMVs) provide the dense horizontal wind vectors (u,v) and heights ingested into data assimilation systems. Traditional AMVs track features…
cs.LG2019
A framework for deep learning emulation of numerical models with a case study in satellite remote sensing
Kate Duffy, Thomas Vandal, Weile Wang +2
Numerical models based on physics represent the state-of-the-art in earth system modeling and comprise our best tools for generating insights and predictions. Despite rapid growth…