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The generation of initial conditions via accurate data assimilation is crucial for weather forecasting and climate modeling.
Data assimilation
K. Law, A. Stuart, and K. Zygalakis · 2015
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The evolution of the ecmwf hybrid data assimilation system
M. Bonavita, E. Hólm, L. Isaksen, and M. Fisher · 2016
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A review of operational methods of variational and ensemble-variational data assimilation
R. N. Bannister · 2017
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JAX: composable transformations of Python+NumPy programs, 2018
J. Bradbury, R. Frostig, P. Hawkins, M. J. Johnson, C. Leary, D. Maclaurin, G. Necula, A. Paszke, J. VanderPlas, S. Wanderman-Milne, and Q. Zhang · 2018
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Fixing weight decay regularization in adam
I. Loshchilov and F. Hutter · 2018
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The era5 global reanalysis
H. Hersbach, B. Bell, P. Berrisford, S. Hirahara, A. Horányi, J. Muñoz-Sabater, J. Nicolas, C. Peubey, R. Radu, D. Schepers, et al · 2020
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Weatherbench: a benchmark data set for data-driven weather forecasting
S. Rasp, P. D. Dueben, S. Scher, J. A. Weyn, S. Mouatadid, and N. Thuerey · 2020
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Score-based generative modeling through stochastic differential equations
Y. Song, J. Sohl-Dickstein, D. P. Kingma, A. Kumar, S. Ermon, and B. Poole · 2020
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Ens-10: A dataset for post-processing ensemble weather forecasts
S. Ashkboos, L. Huang, N. Dryden, T. Ben-Nun, P. Dueben, L. Gianinazzi, L. Kummer, and T. Hoefler · 2022
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Diffusion posterior sampling for general noisy inverse problems
H. Chung, J. Kim, M. T. Mccann, M. L. Klasky, and J. C. Ye · 2022
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Data assimilation fundamentals: A unified formulation of the state and parameter estimation problem
G. Evensen, F. C. Vossepoel, and P. J. van Leeuwen · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
A. Lugmayr, M. Danelljan, A. Romero, F. Yu, R. Timofte, and L. Van Gool · 2022
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J. Pathak, S. Subramanian, P. Harrington, S. Raja, A. Chattopadhyay, M. Mardani, T. Kurth, D. Hall, Z. Li, K. Azizzadenesheli, et al · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
C. Saharia, W. Chan, S. Saxena, L. Li, J. Whang, E. L. Denton, K. Ghasemipour, R. Gontijo Lopes, B. Karagol Ayan, T. Salimans, et al · 2022
Representation learning with unconditional denoising diffusion models for dynamical systems
T. S. Finn, L. Disson, A. Farchi, M. Bocquet, and C. Durand · 2023
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Learning skillful medium-range global weather forecasting
R. Lam, A. Sanchez-Gonzalez, M. Willson, P. Wirnsberger, M. Fortunato, F. Alet, S. Ravuri, T. Ewalds, Z. Eaton-Rosen, W. Hu, et al · 2023
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Seeds: Emulation of weather forecast ensembles with diffusion models
L. Li, R. Carver, I. Lopez-Gomez, F. Sha, and J. Anderson · 2023
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Generative residual diffusion modeling for km-scale atmospheric downscaling
M. Mardani, N. Brenowitz, Y. Cohen, J. Pathak, C.-Y. Chen, C.-C. Liu, A. Vahdat, K. Kashinath, J. Kautz, and M. Pritchard · 2023
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Gencast: Diffusion-based ensemble forecasting for medium-range weather
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Cited alongside, same era.
Cambridge University Press, July 2023
page 35–144 · 2023
Cited alongside, same era.
Data assimilation as simulation-based inference
G. Andry et al · 2023
Cited alongside, same era.
Deep learning for day forecasts from sparse observations
M. Andrychowicz, L. Espeholt, D. Li, S. Merchant, A. Merose, F. Zyda, S. Agrawal, and N. Kalchbrenner · 2023
Cited alongside, same era.
Accurate medium-range global weather forecasting with 3d neural networks
K. Bi, L. Xie, H. Zhang, X. Chen, X. Gu, and Q. Tian · 2023
Cited alongside, same era.
F. Rozet and G. Louppe
Cited in the paper.
Score-based data assimilation for a two-layer quasi-geostrophic model
F. Rozet and G. Louppe
Cited in the paper.
I. Price, A. Sanchez-Gonzalez, F. Alet, T. Ewalds, A. El-Kadi, J. Stott, S. Mohamed, P. Battaglia, R. Lam, and M. Willson · 2023
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Weatherbench 2: A benchmark for the next generation of data-driven global weather models
S. Rasp, S. Hoyer, A. Merose, I. Langmore, P. Battaglia, T. Russel, A. Sanchez-Gonzalez, V. Yang, R. Carver, S. Agrawal, et al · 2023
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Diffusers: State-of-the-art diffusion models, 2023
P. von Platen, S. Patil, A. Lozhkov, P. Cuenca, N. Lambert, K. Rasul, M. Davaadorj, and T. Wolf · 2023
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Residual diffusion modeling for km-scale atmospheric downscaling
M. Mardani, N. Brenowitz, Y. Cohen, J. Pathak, C.-Y. Chen, C.-C. Liu, A. Vahdat, K. Kashinath, J. Kautz, and M. Pritchard · 2024
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Coupling the data-driven weather forecasting model with 4d variational assimilation
Y. Xiao, L. Bai, W. Xue, K. Chen, T. Han, and W. Ouyang · 2024
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