Dynamic global vegetation models underestimate net CO2 flux mean and 
interannual variability in dryland ecosystems

MacBean, Natasha; Scott, Russell L.; Biederman, Joel A.; Peylin, Philippe; Kolb, Thomas; Litvak, Marcy E.; Krishnan, Praveena; Meyers, Tilden P.; Arora, Vivek K.; Bastrikov, Vladislav; Goll, Daniel; Lombardozzi, Danica L.; Nabel, Julia E. M. S.; Pongratz, Julia; Sitch, Stephen; Walker, Anthony P.; Zaehle, Sönke; Moore, David J. P.

doi:10.1088/1748-9326/ac1a38

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Dynamic global vegetation models underestimate net CO₂ flux mean and interannual variability in dryland ecosystems

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Zaehle, Sönke
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society;

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MacBean, N., Scott, R. L., Biederman, J. A., Peylin, P., Kolb, T., Litvak, M. E., et al. (2021). Dynamic global vegetation models underestimate net CO₂ flux mean and interannual variability in dryland ecosystems. Environmental Research Letters, 16(9): 094023. doi:10.1088/1748-9326/ac1a38.

Cite as: https://hdl.handle.net/21.11116/0000-0009-1FC2-A

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