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How overconfident are current projections of anthropogenic carbon dioxide emissions?

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  • Klaus Keller
  • Louise I. Miltich
  • Alexander Robinson
  • Richard S.J. Tol

    ()
    (Economic and Social Research Institute, Dublin)

Abstract

Analyzing the risks of anthropogenic climate change requires sound probabilistic projections of CO2 emissions. Previous projections have broken important new ground, but many rely on out-of-range projections, are limited to the 21st century, or provide only implicit probabilistic information. Here we take a step towards resolving these problems by assimilating globally aggregated observations of population size, economic output, and CO2 emissions over the last three centuries into a simple economic model. We use this model to derive probabilistic projections of business-as-usual CO2 emissions to the year 2150. We demonstrate how the common practice to limit the calibration timescale to decades can result in biased and overconfident projections. The range of several CO2 emission scenarios (e.g., from the Special Report on Emission Scenarios) misses potentially important tails of our projected probability density function. Studies that have interpreted the range of CO2 emission scenarios as an approximation for the full forcing uncertainty may well be biased towards overconfident climate change projections.

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File URL: http://www.fnu.zmaw.de/fileadmin/fnu-files/publication/working-papers/dataasswp.pdf
File Function: First version, 2007
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Bibliographic Info

Paper provided by Research unit Sustainability and Global Change, Hamburg University in its series Working Papers with number FNU-124.

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Length: 42 pages
Date of creation: Jan 2007
Date of revision: Jan 2007
Handle: RePEc:sgc:wpaper:124

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Keywords: economics of climate change; scenarios; data assimilation;

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