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Solar and Planetary Oscillation Control on Climate Change: Hind-Cast, Forecast and a Comparison with the Cmip5 Gcms

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  • Nicola Scafetta

    (Active Cavity Radiometer Irradiance Monitor (ACRIM) Lab, Coronado, CA 92118, USA, & Duke University, Durham, NC 27708, USA)

Abstract

Global surface temperature records (e.g. HadCRUT4) since 1850 are characterized by climatic oscillations synchronous with specific solar, planetary and lunar harmonics superimposed on a background warming modulation. The latter is related to a long millennial solar oscillation and to changes in the chemical composition of the atmosphere (e.g. aerosol and greenhouse gases). However, current general circulation climate models, e.g. the CMIP5 GCMs, to be used in the AR5 IPCC Report in 2013, fail to reconstruct the observed climatic oscillations. As an alternate, an empirical model is proposed that uses: (1) a specific set of decadal, multidecadal, secular and millennial astronomic harmonics to simulate the observed climatic oscillations; (2) a 0.45 attenuation of the GCM ensemble mean simulations to model the anthropogenic and volcano forcing effects. The proposed empirical model outperforms the GCMs by better hind-casting the observed 1850–2012 climatic patterns. It is found that: (1) about 50–60% of the warming observed since 1850 and since 1970 was induced by natural oscillations likely resulting from harmonic astronomical forcings that are not yet included in the GCMs; (2) a 2000–2040 approximately steady projected temperature; (3) a 2000–2100 projected warming ranging between 0.3°C and 1.6° C , which is significantly lower than the IPCC GCM ensemble mean projected warming of 1.1° C to 4.1° C ; (4) an equilibrium climate sensitivity to CO 2 doubling centered in 1.35°C and varying between 0.9°C and 2.0°C.

Suggested Citation

  • Nicola Scafetta, 2013. "Solar and Planetary Oscillation Control on Climate Change: Hind-Cast, Forecast and a Comparison with the Cmip5 Gcms," Energy & Environment, , vol. 24(3-4), pages 455-496, June.
    • Handle: RePEc:sae:engenv:v:24:y:2013:i:3-4:p:455-496
    DOI: 10.1260/0958-305X.24.3-4.455
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    References listed on IDEAS

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    Cited by:

    1. Loehle, Craig, 2014. "A minimal model for estimating climate sensitivity," Ecological Modelling, Elsevier, vol. 276(C), pages 80-84.

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