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

Son, R., Stacke, T., Gayler, V., Nabel, J. E. M. S., Schnur, R., Silva, L. A., et al. (2024). Integration of a deep-learning-based fire model into a global land surface model. Journal of Advances in Modeling Earth Systems, 16: e2023MS003710. doi:10.1029/2023MS003710.

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J Adv Model Earth Syst - 2024 - Son.pdf (Publisher version), 3MB
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J Adv Model Earth Syst - 2024 - Son.pdf
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Copyright Date:
2024
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 Creators:
Son, Rackhun1, Author
Stacke, Tobias2, Author                 
Gayler, Veronika2, Author                 
Nabel, Julia E. M. S.1, 3, Author                 
Schnur, Reiner3, Author                 
Silva, Lazaro Alonso1, Author
Requena Mesa, Christian1, Author
Winkler, Alexander1, Author
Hantson, Stijn, Author
Zaehle, Sönke1, Author
Weber, Ulrich1, Author
Carvalhais, Nuno1, Author
Affiliations:
1Max Planck Institute for Biogeochemistry, Max Planck Society, Hans-Knöll-Str. 10, 07745 Jena, DE, ou_1497750              
2Climate-Biogeosphere Interaction, Department Climate Dynamics, MPI for Meteorology, Max Planck Society, ou_3520498              
3Computational Infrastructure and Model Devlopment (CIMD), Scientific Computing Lab (ScLab), MPI for Meteorology, Max Planck Society, ou_2129638              

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Language(s): eng - English
 Dates: 2023-12-062024-01-092024-01-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1029/2023MS003710
BibTex Citekey: SonStackeEtAl2024
 Degree: -

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Project name : ESM2025
Grant ID : 101003536
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Journal of Advances in Modeling Earth Systems
  Other : JAMES
Source Genre: Journal
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Publ. Info: Washington, D.C. : American Geophysical Union
Pages: - Volume / Issue: 16 Sequence Number: e2023MS003710 Start / End Page: - Identifier: ISSN: 1942-2466
CoNE: https://pure.mpg.de/cone/journals/resource/19422466