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Predictability Horizons in the Global Carbon Cycle Inferred From a Perfect-Model Framework

Spring, AaronORCIDiD
Ilyina, TatianaORCIDiD
DOI: https://doi.org/10.1029/2019GL085311
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/8893
Spring, Aaron; Ilyina, Tatiana, 2020: Predictability Horizons in the Global Carbon Cycle Inferred From a Perfect-Model Framework. In: Geophysical Research Letters, Band 47, 9, DOI: 10.1029/2019GL085311.
 
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  • Abstract
On interannual timescales the growth rate of atmospheric CO2 is largely controlled by the response of the land and ocean carbon sinks to climate variability. Yet, it is unknown to what extent this variability limits the predictability of atmospheric CO2 variations. Using perfect-model Earth System Model simulations, we show that variations in atmospheric CO2 are potentially predictable for 3 years. We find a 2-year predictability horizon for global oceanic CO2 flux with longer regional predictability of up to 7 years. The 2-year predictability horizon of terrestrial CO2 flux originates in the tropics and midlatitudes. With the predictability of the isolated effects of land and ocean carbon sink on atmospheric CO2 of 5 and 12 years respectively, land dampens the overall predictability of atmospheric CO2 variations. Our research shows the potential of Earth System Model-based predictions to forecast multiyear variations in atmospheric CO2.
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  • Geochemie, Mineralogie, Petrologie [395]
Subjects:
decadal predictability
atmospheric CO2
carbon fluxes
internal variability
Earth System Model
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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