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Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere.

, , и . CoRR, (2020)

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Wolfgang Weynen

Klaus Weynand

Annelies Myriam Griet Weyn

Michèle Weynandt

Caroline Sibylle Weynans

 

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Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500-hPa Geopotential Height From Historical Weather Data, , и . Journal of Advances in Modeling Earth Systems, 11 (8): 2680--2693 (2019)\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019MS001705.Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere., , и . CoRR, (2020)DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies., , , , , , , , , и 82 other автор(ы). CoRR, (2023)MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather., , , , , , , , , и . CoRR, (2021)An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting, , , , , , и . (2024)WeatherBench: A benchmark dataset for data-driven weather forecasting, , , , , и . (2020)cite arxiv:2002.00469Comment: Github repository: https://github.com/pangeo-data/WeatherBench; Data download: https://mediatum.ub.tum.de/1524895.Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers., , , , и . CoRR, (2022)Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers, , , , , и . Artificial Intelligence for the Earth Systems, (2024)Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models., , , и . CoRR, (2021)