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  Convergence in simulating global soil organic carbon by structurally different models after data assimilation

Tao, F., Houlton, B. Z., Huang, Y., Wang, Y.-P., Manzoni, S., Ahrens, B., et al. (2024). Convergence in simulating global soil organic carbon by structurally different models after data assimilation. Global Change Biology, 30(5): e17297. doi:10.1111/gcb.17297.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-451E-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-4522-D
Genre: Journal Article

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 Creators:
Tao, Feng, Author
Houlton, Benjamin Z, Author
Huang, Yuanyuan, Author
Wang, Ying-Ping, Author
Manzoni, Stefano, Author
Ahrens, Bernhard1, Author           
Mishra, Umakant, Author
Jiang, Lifen, Author
Huang, Xiaomeng, Author
Luo, Yiqi, Author
Affiliations:
1Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Dates: 2024-04-092024-05
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC4568
DOI: 10.1111/gcb.17297
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Project name : AI4SoilHealth
Grant ID : 101086179
Funding program : Horizon Europe (HE)
Funding organization : European Commission (EC)

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Title: Global Change Biology
Source Genre: Journal
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Publ. Info: Oxford, UK : Blackwell Science
Pages: - Volume / Issue: 30 (5) Sequence Number: e17297 Start / End Page: - Identifier: ISSN: 1354-1013
CoNE: https://pure.mpg.de/cone/journals/resource/954925618107