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学術論文

Integration of a deep-learning-based fire model into a global land surface model

MPS-Authors

Son,  Rackhun
Max Planck Institute for Biogeochemistry, Max Planck Society;

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Stacke,  Tobias       
Climate-Biogeosphere Interaction, Department Climate Dynamics, MPI for Meteorology, Max Planck Society;

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Gayler,  Veronika       
Climate-Biogeosphere Interaction, Department Climate Dynamics, MPI for Meteorology, Max Planck Society;

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Nabel,  Julia E. M. S.       
Max Planck Institute for Biogeochemistry, Max Planck Society;
Computational Infrastructure and Model Devlopment (CIMD), Scientific Computing Lab (ScLab), MPI for Meteorology, Max Planck Society;

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Schnur,  Reiner       
Computational Infrastructure and Model Devlopment (CIMD), Scientific Computing Lab (ScLab), MPI for Meteorology, Max Planck Society;

Silva,  Lazaro Alonso
Max Planck Institute for Biogeochemistry, Max Planck Society;

Requena Mesa,  Christian
Max Planck Institute for Biogeochemistry, Max Planck Society;

Winkler,  Alexander
Max Planck Institute for Biogeochemistry, Max Planck Society;

Zaehle,  Sönke
Max Planck Institute for Biogeochemistry, Max Planck Society;

Weber,  Ulrich
Max Planck Institute for Biogeochemistry, Max Planck Society;

Carvalhais,  Nuno
Max Planck Institute for Biogeochemistry, Max Planck Society;

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引用

Son, R., Stacke, T., Gayler, V., Nabel, J. E. M. S., Schnur, R., Silva, L. A., Requena Mesa, C., Winkler, A., Hantson, S., Zaehle, S., Weber, U., & Carvalhais, N. (2024). Integration of a deep-learning-based fire model into a global land surface model. Journal of Advances in Modeling Earth Systems, 16:. doi:10.1029/2023MS003710.


引用: https://hdl.handle.net/21.11116/0000-000E-4DA4-3
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