Abstract
Earth system models simulate prominent terrestrial carbon-cycle responses to anthropogenically forced changes in climate and atmospheric composition over the twenty-first century1,2,3,4. The rate and magnitude of the forced climate change is routinely evaluated relative to unforced, or natural, variability using a multi-member ensemble of simulations5,6,7,8. However, Earth system model carbon-cycle analyses do not account for unforced variability1,2,3,4,9. To investigate unforced terrestrial carbon-cycle variability, we analyse ensembles from the Coupled Model Intercomparison Project (CMIP5), focusing on the Community Climate System Model (CCSM4). The unforced variability of CCSM4 is comparable to that observed at the Harvard Forest eddy covariance flux tower site. Over the twenty-first century, unforced variability in land–atmosphere CO2 flux is larger than the forced response at decadal timescales in many areas of the world, precluding detection of the forced carbon-cycle change. Only after several decades does the forced carbon signal consistently emerge in CCSM4 and other models for the business-as-usual radiative forcing scenario (RCP8.5). Grid-cell variability in time of emergence is large, but decreases at regional scales. To attribute changes in the terrestrial carbon cycle to anthropogenic forcings, monitoring networks and model projections must consider the timescale at which the forced biogeochemical response emerges from the natural variability.
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Acknowledgements
We would like to thank C. Deser and B. Stephens for helpful feedback that redefined our initial analyses. We would also like to thank the reviewers for the constructive comments that have improved the final version of this paper. The National Center for Atmospheric Research is sponsored by the National Science Foundation. This work was supported by National Science Foundation grant EF-1048481.
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G.B.B. and D.L. conceived the project. D.L. assembled model datasets and analysed the simulations, with guidance from G.B.B. and D.W.N. All authors contributed to writing the paper.
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Lombardozzi, D., Bonan, G. & Nychka, D. The emerging anthropogenic signal in land–atmosphere carbon-cycle coupling. Nature Clim Change 4, 796–800 (2014). https://doi.org/10.1038/nclimate2323
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DOI: https://doi.org/10.1038/nclimate2323
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