https://github.com/kenzaxtazi/mfgp

Multi-Fidelity Gaussian Processes (MFGP) applied to downscaling sparse climatic data.
https://github.com/kenzaxtazi/mfgp

downscaling gaussian-processes

Last synced: 28 days ago
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Multi-Fidelity Gaussian Processes (MFGP) applied to downscaling sparse climatic data.

• Host: GitHub
• URL: https://github.com/kenzaxtazi/mfgp
• Owner: kenzaxtazi
• License: mit
• Created: 2022-04-22T19:55:16.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-11-12T18:11:50.000Z (7 months ago)
• Last Synced: 2025-04-09T03:51:11.889Z (about 2 months ago)
• Topics: downscaling, gaussian-processes
• Language: Jupyter Notebook
• Homepage:
• Size: 53 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# mfgp

Multi-Fidelity Gaussian Processes (MFGP) applied to downscaling sparse climatic data.

Tazi, K., Orr, A., Hernandez-González, J., Hosking, S. and Turner, R.E., 2023. Downscaling precipitation over High Mountain Asia using Multi-Fidelity Gaussian Processes: Improved estimates from ERA5. _EGUsphere_, 2023, pp.1-33.