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Weather forecasting plays a vital role in today's society, from agriculture and logistics to predicting the output of renewable energies, and preparing for extreme weather events.
Neural network ensembles, cross validation, and active learning
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Diffusion models beat gans on image synthesis
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Swin transformer: Hierarchical vision transformer using shifted windows
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Pangu-weather: A 3d high-resolution model for fast and accurate global weather forecast
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Diffedit: Diffusion-based semantic image editing with mask guidance
Weatherbench 2: A benchmark for the next generation of data-driven global weather models
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Probabilistic precipitation downscaling with optical flow-guided diffusion
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Debias the training of diffusion models
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Couairon, G., Verbeek, J., Schwenk, H., and Cord, M · 2022
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Elucidating the design space of diffusion-based generative models
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Graphcast: Learning skillful medium-range global weather forecasting
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Swin transformer v2: Scaling up capacity and resolution
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High-resolution image synthesis with latent diffusion models
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Addison, H., Kendon, E., Ravuri, S., Aitchison, L., and Watson, P. A · 2024
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On some limitations of current machine learning weather prediction models
Bonavita, M · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
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Towards diffusion models for large-scale sea-ice modelling
Finn, T. S., Durand, C., Farchi, A., Bocquet, M., and Brajard, J · 2024
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Cascast: Skillful high-resolution precipitation nowcasting via cascaded modelling
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Fourcastnext: Improving fourcastnet training with limited compute
Guo, E., Ahmed, M., Sun, Y., Mahendru, R., Yang, R., Cook, H., Leeuwenburg, T., and Evans, B · 2024
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Han, Q., Jiang, X., Zhao, Y., Wang, X., Li, Z., and Zhang, R · 2024
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Dynamical-generative downscaling of climate model ensembles
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Generative data assimilation of sparse weather station observations at kilometer scales
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Resdiff: Combining cnn and diffusion model for image super-resolution
Shang, S., Shan, Z., Liu, G., Wang, L., Wang, X., Zhang, Z., and Zhang, J · 2024
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Can ai be enabled to dynamical downscaling? a latent diffusion model to mimic km-scale cosmo5. 0_clm9 simulations
Tomasi, E., Franch, G., and Cristoforetti, M · 2024
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Generative diffusion-based downscaling for climate
Watt, R. A. and Mansfield, L. A · 2024
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Diffcast: A unified framework via residual diffusion for precipitation nowcasting
Yu, D., Li, X., Ye, Y., Zhang, B., Luo, C., Dai, K., Wang, R., and Chen, X · 2024
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Advancing realistic precipitation nowcasting with a spatiotemporal transformer-based denoising diffusion model
Zhao, Z., Dong, X., Wang, Y., and Hu, C · 2024
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Fuxi-extreme: Improving extreme rainfall and wind forecasts with diffusion model
Zhong, X., Chen, L., Liu, J., Lin, C., Qi, Y., and Li, H · 2024
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Accuracy versus activity
Zied Ben Bouallègue, T. A. t · 2024
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