Awesome-Numerical-Weather-Prediction
This repository provides a curated list of numerical weather prediction methods.
Title | Paper | Code | Affiliation | Blog | YouTube |
---|---|---|---|---|---|
NeuralGCM1 | Nature, arXiv | GitHub | Google Research | Google Research Blog | YouTube video |
SpeedyWeather.jl2 | JOSS | GitHub | MIT | JuliaEO24 , JuliaCon 2023, JuliaCon 2022 | |
KARINA3 | arXiv | KIST | |||
Aurora4 | Microsoft | Blog | |||
DeepRaNE5 | Weather and Climate Extremes | GitHub | SNU |
- Google MetNet3
- Skilful nowcasting of extreme precipitation with NowcastNet
- Google WeatherBench2
- The $10 trillion value of better information about the transient climate response
- Can deep learning beat numerical weather prediction?
- How AI is improving climate forecasts
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Kochkov, D., Yuval, J., Langmore, I., Norgaard, P., Smith, J., Mooers, G., Klöwer, M., Lottes, J., Rasp, S., Düben, P., & others (2024) Neural general circulation models for weather and climate. Nature, 1–7. ↩
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Klöwer, M., Gelbrecht, M., Hotta, D., Willmert, J., Silvestri, S., Wagner, G.L., White, A., Hatfield, S., Kimpson, T., Constantinou, N.C., & Hill, C. (2024) SpeedyWeather.jl: Reinventing atmospheric general circulation models towards interactivity and extensibility. Journal of Open Source Software, 9, 6323. ↩
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Cheon, M., Choi, Y.-H., Kang, S.-Y., Choi, Y., Lee, J.-G., & Kang, D. (2024) Karina: An efficient deep learning model for global weather forecast. arXiv preprint arXiv:2403.10555. ↩
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Bodnar, C., Bruinsma, W., Lucic, A., Stanley, M., Brandstetter, J., Garvan, P., Riechert, M., Weyn, J., Dong, H., Vaughan, A., Gupta, J., Thambiratnam, K., Archibald, A., Heider, E., Welling, M., Turner, R., & Perdikaris, P. (2024) Aurora: A foundation model of the atmosphere ( No. MSR-TR-2024-16). Microsoft Research AI for Science. ↩
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Oh, S.-G., Son, S.-W., Kim, Y.-H., Park, C., Ko, J., Shin, K., Ha, J.-H., & Lee, H. (2024) Deep learning model for heavy rainfall nowcasting in south korea. Weather and Climate Extremes, 44, 100652. ↩