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Quantifying anthropogenic influence on recent near-surface temperature change
Authors:M. R. Allen  N. P. Gillett  J. A. Kettleborough  G. Hegerl  R. Schnur  P. A. Stott  G. Boer  C. Covey  T. L. Delworth  G. S. Jones  J. F. B. Mitchell  T. P. Barnett
Affiliation:(1) Atmospheric, Oceanic and Planetary Physics, University of Oxford Clarendon Laboratory, Parks Road, OX1 3PU, UK;(2) School of Earth and Ocean Sciences, University of Victoria, Victoria, Canada;(3) Present address: Climate Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK;(4) Space Science and Technology Department, Rutherford Appleton Laboratory, Didcot, UK;(5) Present address: Met. Office, FitzRoy Road, Exeter, UK;(6) Nicholas School for the Environment and Earth Sciences, Duke University, Durham, NC, USA;(7) Max Planck Institute for Meteorology, Hamburg, Germany;(8) Met Office, Reading Unit, Dept. of Meteorology, University of Reading, Reading, UK;(9) The Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada;(10) PCMDI, Lawrence Livermore National Laboratory, Livermore, USA;(11) NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA;(12) Scripps Institution for Oceanography, University of California, San Diego, USA
Abstract:We assess the extent to which observed large-scale changes in near-surface temperatures over the latter half of the twentieth century can be attributed to anthropogenic climate change as simulated by a range of climate models. The hypothesis that observed changes are entirely due to internal climate variability is rejected at a high confidence level independent of the climate model used to simulate either the anthropogenic signal or the internal variability. Where the relevant simulations are available, we also consider the alternative hypothesis that observed changes are due entirely to natural external influences, including solar variability and explosive volcanic activity. We allow for the possibility that feedback processes, other than those simulated by the models considered, may be amplifying the observed response to these natural influences by an unknown amount. Even allowing for this possibility, the hypothesis of no anthropogenic influence can be rejected at the 5% level in almost all cases. The influence of anthropogenic greenhouse gases emerges as a substantial contributor to recent observed climate change, with the estimated trend attributable to greenhouse forcing similar in magnitude to the total observed warming over the 20th century. Much greater uncertainty remains in the response to other external influences on climate, particularly the response to anthropogenic sulphate aerosols and to solar and volcanic forcing. Our results remain dependent on model-simulated signal patterns and internal variability, and would benefit considerably from a wider range of simulations, particularly of the responses to natural external forcing.
Keywords:Climate change  Detection  Attribution
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