Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models
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Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
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Author |
Lu, Haibo Li, Shihua Ma, Minna Bastrikov, Vladislav |
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UCAR/NCAR - Library |
Publication Date | 2021-05-01T00:00:00 |
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geoscientificInformation |
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Metadata Date | 2023-08-18T18:28:54.559358 |
Metadata Record Identifier | edu.ucar.opensky::articles:24329 |
Metadata Language | eng; USA |
Suggested Citation | Lu, Haibo, Li, Shihua, Ma, Minna, Bastrikov, Vladislav, Chen, Xiuzhi, Ciais, Philippe, Dai, Yongjiu, Ito, Akihiko, Ju, Weimin, Lienert, Sebastian, Lombardozzi, Danica, Lu, Xingjie, Maignan, Fabienne, Nakhavali, Mahdi, Quine, Timothy, Schindlbacher, Andreas, Wang, Jun, Wang, Yingping, WÃ¥rlind, David, Zhang, Shupeng, Yuan, Wenping. (2021). Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7g1647w. Accessed 15 February 2025. |
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