https://github.com/schmidtjonathan/dunkelflowten
https://github.com/schmidtjonathan/dunkelflowten
Last synced: 8 months ago
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- Host: GitHub
- URL: https://github.com/schmidtjonathan/dunkelflowten
- Owner: schmidtjonathan
- Created: 2025-09-29T09:01:14.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-09-29T09:31:05.000Z (9 months ago)
- Last Synced: 2025-09-29T11:33:41.172Z (9 months ago)
- Language: Jupyter Notebook
- Size: 382 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
## Contributions
- Big thanks to [Meta research](https://github.com/facebookresearch) for providing much of the basis that this repository builds on, both in terms of ...
- ... methodology [https://arxiv.org/abs/2412.06264](https://arxiv.org/abs/2412.06264)
- ... and code [https://github.com/facebookresearch/flow_matching](https://github.com/facebookresearch/flow_matching)
- This code base was created by [@schmidtjonathan](https://github.com/schmidtjonathan) and [@fstrnad](https://github.com/fstrnad)
- The methodology that enables this work is built to a significant part on this ...
- ... paper [https://www.nature.com/articles/s41612-025-01157-y](https://www.nature.com/articles/s41612-025-01157-y)
- ... and code [https://github.com/schmidtjonathan/Climate2Weather](https://github.com/schmidtjonathan/Climate2Weather)
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This code accompanies the manuscript "Assessing the risk of future Dunkelflaute events for Germany using generative deep learning" ([https://arxiv.org/abs/2509.24788](https://arxiv.org/abs/2509.24788)).