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Learning extreme vegetation response to climate drivers with recurrent neural networks

, , , , , and . Nonlinear Processes in Geophysics, 31 (4): 535-557 (2024)

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AI for Extreme Event Modeling and Understanding: Methodologies and Challenges, , , , , , , , , and 15 other author(s). (2024)Recurrent Neural Networks for Modelling Gross Primary Production, , , , , , , , and . (2024)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)Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components, , , , , , , , , and 3 other author(s). AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), (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)DeepFeatures: Remote sensing beyond spectral indices, , , , , , , , , and . EGU General Assembly Conference Abstracts, (2024)A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks, , , , and . arXiv e-prints, (2024)ReservoirComputing. jl: An efficient and modular library for reservoir computing models, , , , and . Journal of Machine Learning Research, 23 (288): 1-8 (2022)Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis, , , and . (2024)