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  WetCH4: A machine learning-based upscaling of methane fluxes of northern wetlands during 2016–2022

Ying, Q., Poulter, B., Watts, J. D., Arndt, K. A., Virkkala, A.-M., Bruhwiler, L., et al. (2024). WetCH4: A machine learning-based upscaling of methane fluxes of northern wetlands during 2016–2022. Earth System Science Data Discussions. doi:10.5194/essd-2024-84.

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OA-Status:
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 Creators:
Ying, Qing, Author
Poulter, Benjamin, Author
Watts, Jennifer D., Author
Arndt, Kyle A., Author
Virkkala, Anna-Maria, Author
Bruhwiler, Lori, Author
Oh, Youmi, Author
Rogers, Brendan M., Author
Natali, Susan M., Author
Sullivan, Hilary, Author
Schiferl, Luke D., Author
Elder, Clayton, Author
Peltola, Olli, Author
Bartsch, Annett, Author
Armstrong, Amanda, Author
Desai, Ankur R., Author
Euskirchen, Eugénie, Author
Göckede, Mathias1, Author           
Lehner, Bernhard, Author
Nilsson, Mats B., Author
Peichl, Matthias, AuthorSonnentag, Oliver, AuthorTuittila, Eeva-Stiina, AuthorSachs, Torsten, AuthorKalhori, Aram, AuthorUeyama, Masahito, AuthorZhang, and Zhen, Author more..
Affiliations:
1Integrating surface-atmosphere Exchange Processes Across Scales - Modeling and Monitoring, Dr. Mathias Göckede, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3279725              

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 Dates: 2024-04-032024-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: No review
 Identifiers: Other: BGC4534
DOI: 10.5194/essd-2024-84
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Title: Earth System Science Data Discussions
  Abbreviation : ESSDD
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1866-3591
CoNE: https://pure.mpg.de/cone/journals/resource/1866-3591