EcoPro-LSTMv0: A memory-based machine learning approach to predicting ecosystem 
dynamics across time scales in mediterranean environments

Cattry, Mitra; Zhao, Wenli; Nathaniel, Juan; Qiu, Jinghao; Zhang, Yao; Gentine, Pierre

doi:10.5194/egusphere-2024-3726

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EcoPro-LSTM_v0: A memory-based machine learning approach to predicting ecosystem dynamics across time scales in mediterranean environments

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Zhao, Wenli
Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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https://doi.org/10.5194/egusphere-2024-3726
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Citation

Cattry, M., Zhao, W., Nathaniel, J., Qiu, J., Zhang, Y., & Gentine, P. (2025). EcoPro-LSTM_v0: A memory-based machine learning approach to predicting ecosystem dynamics across time scales in mediterranean environments. EGUsphere. doi:10.5194/egusphere-2024-3726.

Cite as: https://hdl.handle.net/21.11116/0000-0010-B5E1-3

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