Lu, Haibo; Li, Shihua; Ma, Minna; Bastrikov, Vladislav; Chen, Xiuzhi; Ciais, Philippe; Ito, Akihiko; Ju, Weimin; Lienert, Sebastian; Lombardozzi, Danica; Lu, Xingjie; Maignan, Fabienne; Nakhavali, Mahdi; Quine, Timothy; Schindlbacher, Andreas; Wang, Jun; Wang, Yingping; Wårlind, David; Zhang, Shupeng and Yuan, Wenping (2021). Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models. Environmental Research Letters, 16(5), 054048. IOP Publishing 10.1088/1748-9326/abf526
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Lu_2021_Environ._Res._Lett._16_054048.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (3MB) | Preview |
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Physics Institute > Climate and Environmental Physics 10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) |
UniBE Contributor: |
Lienert, Sebastian |
Subjects: |
500 Science > 530 Physics 500 Science > 550 Earth sciences & geology |
ISSN: |
1748-9326 |
Publisher: |
IOP Publishing |
Language: |
English |
Submitter: |
Sebastian Lienert |
Date Deposited: |
31 Mar 2022 14:11 |
Last Modified: |
26 Jan 2024 12:00 |
Publisher DOI: |
10.1088/1748-9326/abf526 |
BORIS DOI: |
10.48350/168228 |
URI: |
https://boris.unibe.ch/id/eprint/168228 |
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