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Journal Article

Tracking 21st century anthropogenic and natural carbon fluxes through model-data integration

MPS-Authors
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Nabel,  Julia E. M. S.       
Computational Infrastructure and Model Devlopment (CIMD), Scientific Computing Lab (ScLab), MPI for Meteorology, Max Planck Society;

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Pongratz,  Julia       
Climate-Biogeosphere Interaction, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;

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s41467-022-32456-0.pdf
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41467_2022_32456_MOESM1_ESM.pdf
(Supplementary material), 11MB

Citation

Bultan, S., Nabel, J. E. M. S., Hartung, K., Ganzenmüller, R., Xu, L., Saatchi, S., et al. (2022). Tracking 21st century anthropogenic and natural carbon fluxes through model-data integration. Nature Communications, 13: 5516. doi:10.1038/s41467-022-32456-0.


Cite as: https://hdl.handle.net/21.11116/0000-000B-2849-7
Abstract
Monitoring the implementation of emission commitments under the Paris agreement relies on accurate estimates of terrestrial carbon fluxes. Here, we assimilate a 21st century observation-based time series of woody vegetation carbon densities into a bookkeeping model (BKM). This approach allows us to disentangle the observation-based carbon fluxes by terrestrial woody vegetation into anthropogenic and environmental contributions. Estimated emissions (from land-use and land cover changes) between 2000 and 2019 amount to 1.4 PgC yr−1, reducing the difference to other carbon cycle model estimates by up to 88% compared to previous estimates with the BKM (without the data assimilation). Our estimates suggest that the global woody vegetation carbon sink due to environmental processes (1.5 PgC yr−1) is weaker and more susceptible to interannual variations and extreme events than estimated by state-of-the-art process-based carbon cycle models. These findings highlight the need to advance model-data integration to improve estimates of the terrestrial carbon cycle under the Global Stocktake.