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AI for Extreme Event Modeling and Understanding: Methodologies and Challenges, , , , , , , , , and 15 other author(s). (2024)Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis, , , and . (2024)Identifying compound weather drivers of forest biomass loss with generative deep learning, , , , , , and . Environmental Data Science, (2024)Physics-aware nonparametric regression models for Earth data analysis, , , , , , , , , and . Environ. Res. Lett., 17 (5): 054034 (May 2022)DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes, , , , , , , , , and 5 other author(s). arXiv preprint arXiv:2406.18179, (2024)Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks, , , , , and . (2024)Learning extreme vegetation response to climate forcing: A comparison of recurrent neural network architectures, , , , , and . EGUsphere, (2023)Learning extreme vegetation response to climate drivers with recurrent neural networks, , , , , and . Nonlinear Processes in Geophysics, 31 (4): 535-557 (2024)Earth System Data Cubes: Avenues for advancing Earth system research, , , , , , , , , and 8 other author(s). arXiv preprint arXiv:2408.02348, (2024)Explainable Earth Surface Forecasting under Extreme Events, , , , and . (2024)