https://github.com/avgeiss/chem_downscaling

Code for: "Downscaling Atmospheric Chemistry Simulations with Physically Consistent Deep Learning", by Andrew Geiss, Sam J. Silva, and Joseph C. Hardin, (2022)
https://github.com/avgeiss/chem_downscaling

Last synced: 2 months ago
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Code for: "Downscaling Atmospheric Chemistry Simulations with Physically Consistent Deep Learning", by Andrew Geiss, Sam J. Silva, and Joseph C. Hardin, (2022)

• Host: GitHub
• URL: https://github.com/avgeiss/chem_downscaling
• Owner: avgeiss
• License: gpl-3.0
• Created: 2022-01-04T21:39:03.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-04-29T19:33:59.000Z (over 2 years ago)
• Last Synced: 2024-08-02T14:07:59.550Z (5 months ago)
• Language: Python
• Size: 28.3 KB
• Stars: 10
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Atmos. Chem. Downscaling CNN

Code for the paper: "Downscaling Atmospheric Chemistry Simulations with Physically Consistent Deep Learning", by Andrew Geiss, Sam J. Silva, and Joseph C. Hardin, in prep for: Atmos. Chem. Phys. (2022)

![image](https://user-images.githubusercontent.com/25490494/165849790-9f9230db-6367-47ba-907a-e60b3fed168e.png)