4.8 Article

Causal feedbacks in climate change

Journal

NATURE CLIMATE CHANGE
Volume 5, Issue 5, Pages 445-448

Publisher

NATURE RESEARCH
DOI: 10.1038/NCLIMATE2568

Keywords

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Funding

  1. ERC advanced grant
  2. Royal Society Wolfson Research Merit Award
  3. European Commission HELIX project [ENB.2013.6.1-3]
  4. National Science Foundation [DEB-1020372]
  5. National Science Foundation Graduate Research Fellowships
  6. Environmental Protection Agency Science to Achieve Results Fellowship
  7. NSF-NOAA Comparative Analysis of Marine Ecosystem Organization (CAMEO) program [NA08OAR4320894/CAMEO]
  8. Sugihara Family Trust
  9. Deutsche Bank-Jameson Complexity Studies Fund
  10. McQuown Chair in Natural Science
  11. DoD/SERDP
  12. NERC [NE/G018332/2] Funding Source: UKRI
  13. Natural Environment Research Council [NE/G018332/2] Funding Source: researchfish
  14. Division Of Environmental Biology
  15. Direct For Biological Sciences [1020372] Funding Source: National Science Foundation

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The statistical association between temperature and greenhouse gases over glacial cycles is well documented(1), but causality behind this correlation remains difficult to extract directly from the data. A time lag of CO2 behind Antarctic temperature-originally thought to hint at a driving role for temperature(2,3)-is absent(4,5) at the last deglaciation, but recently confirmed at the last ice age inception(6) and the end of the earlier termination II (ref. 7). We show that such variable time lags are typical for complex nonlinear systems such as the climate, prohibiting straightforward use of correlation lags to infer causation. However, an insight from dynamical systems theory(8) now allows us to circumvent the classical challenges of unravelling causation from multivariate time series. We build on this insight to demonstrate directly from ice-core data that, over glacial-interglacial timescales, climate dynamics are largely driven by internal Earth system mechanisms, including a marked positive feedback effect from temperature variability on greenhouse-gas concentrations.

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