CDAnet: A Physics‐Informed Deep Neural Network for Downscaling Fluid Flows
Author:
Affiliation:
1. King Abdullah University of Science and Technology Thuwal Saudi Arabia
2. Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge UK
3. Department of Mathematics Texas A&M University College Station TX USA
Funder
King Abdullah University of Science and Technology
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003051
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2. Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using nudging
3. Recurrent residual U-Net for medical image segmentation
4. Downscaling the 2D Bénard convection equations using continuous data assimilation
5. Continuous Data Assimilation Using General Interpolant Observables
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