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  Constraining uncertainty in projected gross primary production with machine learning

Schlund, M., Eyring, V., Camps‐Valls, G., Friedlingstein, P., Gentine, P., & Reichstein, M. (2020). Constraining uncertainty in projected gross primary production with machine learning. Journal of Geophysical Research: Biogeosciences, 125(11): e2019JG005619. doi:10.1029/2019JG005619.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-4D16-B Version Permalink: http://hdl.handle.net/21.11116/0000-0007-79B1-9
Genre: Journal Article

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http://dx.doi.org/10.1029/2019JG005619 (Publisher version)
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 Creators:
Schlund, Manuel, Author
Eyring, Veronika, Author
Camps‐Valls, Gustau, Author
Friedlingstein, Pierre, Author
Gentine, Pierre, Author
Reichstein, Markus1, Author              
Affiliations:
1Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Dates: 2020-10-272020-11
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC3439
DOI: 10.1029/2019JG005619
 Degree: -

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Project name : CRESCENDO
Grant ID : 641816
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Journal of Geophysical Research: Biogeosciences
  Other : J. Geophys. Res. - E
  Abbreviation : JGR-E
Source Genre: Journal
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Publ. Info: [Washington, DC] : American Geophysical Union
Pages: - Volume / Issue: 125 (11) Sequence Number: e2019JG005619 Start / End Page: - Identifier: ISSN: 2169-8961
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000326920