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WeatherBench: A benchmark dataset for data-driven weather forecasting, , , , , and . (2020)cite arxiv:2002.00469Comment: Github repository: https://github.com/pangeo-data/WeatherBench; Data download: https://mediatum.ub.tum.de/1524895.Deep learning to represent subgrid processes in climate models, , and . Proceedings of the National Academy of Sciences, 115 (39): 9684--9689 (2018)Increasing the accuracy and resolution of precipitation forecasts using deep generative models., and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 10555-10571. PMLR, (2022)Neural General Circulation Models., , , , , , , , , and 6 other author(s). CoRR, (2023)Neural networks for post-processing ensemble weather forecasts., and . CoRR, (2018)Zero-Touch Provisioning of Distributed Video Analytics in a Software-Defined Metro-Haul Network with P4 Processing., , , , , , and . OFC, page 1-3. IEEE, (2019)Towards Physically-Consistent, Data-Driven Models of Convection., , , and . IGARSS, page 3987-3990. IEEE, (2020)WeatherBench 2: A benchmark for the next generation of data-driven global weather models., , , , , , , , , and 8 other author(s). CoRR, (2023)