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Analog forecasting of extreme-causing weather patterns using deep learning, , и . Journal of Advances in Modeling Earth Systems, 12 (2): e2019MS001958 (2020)Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers., , , , и . CoRR, (2021)Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges., , , , , и . CoRR, (2023)Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems., , , и . J. Comput. Phys., (марта 2023)Analog forecasting of extreme-causing weather patterns using deep learning., , и . CoRR, (2019)A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns., , и . CoRR, (2018)Long-term instabilities of deep learning-based digital twins of the climate system: The cause and a solution., и . CoRR, (2023)FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators., , , , , , , , , и 3 other автор(ы). CoRR, (2022)A framework to integrate MFiX with Trilinos for high fidelity fluidized bed computations., , , и . HPEC, стр. 1-6. IEEE, (2016)Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems., , , и . CoRR, (2022)