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  A data-driven approach to partitioning net ecosystem exchange using a deep state space model

Trifunov, V. T., Shadaydeh, M., Runge, J., Reichstein, M., & Denzler, J. (2021). A data-driven approach to partitioning net ecosystem exchange using a deep state space model. IEEE Access, 9, 107873-107882. doi:10.1109/ACCESS.2021.3101129.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-0AC2-1 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-2A16-A
Genre: Journal Article

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https://doi.org/10.1109/ACCESS.2021.3101129 (Publisher version)
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 Creators:
Trifunov, Violeta Teodora, Author
Shadaydeh, Maha, Author
Runge, Jakob, Author
Reichstein, Markus1, Author           
Denzler, Joachim, Author
Member IEEE, Contributor
Affiliations:
1Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Dates: 2021-07-242021-07-28
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC3666
DOI: 10.1109/ACCESS.2021.3101129
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Title: IEEE Access
Source Genre: Journal
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Publ. Info: New York, NY : IEEE
Pages: - Volume / Issue: 9 Sequence Number: - Start / End Page: 107873 - 107882 Identifier: ISSN: 2169-3536
CoNE: https://pure.mpg.de/cone/journals/resource/2169-3536