Articles | Volume 13, issue 4
Earth Syst. Dynam., 13, 1505–1533, 2022
https://doi.org/10.5194/esd-13-1505-2022
Earth Syst. Dynam., 13, 1505–1533, 2022
https://doi.org/10.5194/esd-13-1505-2022
Research article
07 Nov 2022
Research article | 07 Nov 2022

Interannual global carbon cycle variations linked to atmospheric circulation variability

Na Li et al.

Data sets

Aggregated regional estimates of net atmosphere-land CO2 fluxes from the five atmospheric inversions and 16 Dynamic Global Vegetation Models, supplemental data to Bastos et al. (2019) A. Bastos, M. Sullivan, P. Ciais, D. Makowski, S. Sitch, P. Friedlingstein, F. Chevalier, C. Rödenbeck, J. Pongratz, I. Luijkx, P. Patra, P. Peylin, J. Canadell, R. Lauerwald, W. Li, N. Smith, W. Peters, D. Goll, A. Jain, E. Kato, S. Lienert, D. Lombardozzi, V. Haverd, J. Nabel, H. Tian, A. Walker, and S. Zaehle Tian, H., Walker, A., and Zaehle, S. https://doi.org/10.18160/1SVH-3DNB

Model code and software

Inter-annual global carbon cycle variations linked to atmospheric circulation variability_script_NaLi N. Li https://doi.org/10.17617/3.DMUQZY

Download
Short summary
Quantifying the imprint of large-scale atmospheric circulation dynamics and associated carbon cycle responses is key to improving our understanding of carbon cycle dynamics. Using a statistical model that relies on spatiotemporal sea level pressure as a proxy for large-scale atmospheric circulation, we quantify the fraction of interannual variability in atmospheric CO2 growth rate and the land CO2 sink that are driven by atmospheric circulation variability.
Altmetrics
Final-revised paper
Preprint