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Climate Change A Statistician’s Perspective Dennis Trewin Statistical Consultant, Australia Conclusions of the IPCC • Support their conclusions on past climate change and the impact of human activity • Applaud the transparency of the report • Compliment the degree of international collaboration • Concerned that there may be statistical flaws in the projections of future climate change Conclusions from the IPCC Summary for Policy Makers • Increase of 0.5 degrees to 2030 (0.3 to 0.75) for all scenarios • Accumulation of greenhouse gases is important (suggesting earlier action) • Best estimates of increase to the end of the century range from 1.8 (B1 scenario) to 4.0 (A1 scenario) degrees Climate Change Scenarios • A1 - very rapid economic growth, global population peaking in mid century, economic convergence, rapid introduction of new technologies • A1FI – fossil intensive • A1T – non-fossil energy sources • A1B – balanced • A2 – heterogeneous world, regional based development continually increasing population Climate Change Scenarios • B1 – Similar to A1 but change towards a service and information economy with reductions in material intensity • B2 – Similar to A2 but population increases at a slower rate and intermediate levels of economic development My Concerns • Non-use of purchasing power parities (Castles/Henderson criticism) • Convergence assumptions in A1 and B1 • High population growth assumptions in A2 and B2 • No estimates of robustness • Insufficient information on distribution of projections (addressed in the latest round) Comparative Growth Rates Scenario/Source Annual Growth Rate (%) A1 B1 US Dept of Energy B2 World Bank IEA A2 3.1 2.4 1.9 1.8 1.8 1.5 1.0 Population Projections • B2 is 13-19% higher than UN projections • A2 is even higher • A1 and B1 broadly consistent with UN projections Validity of the Scenarios Best Estimates at 2100 and Range • A1- unlikely because of very high economic growth assumptions, A1FI – 4.0 (2.4, 6.4) A1B – 2.8 (1.7, 4.4) A1T - 2.4 (1.4, 3.8) • A2 – unlikely because of very high population growth assumptions, 3.4 (2.0, 5.4) • B1 – most likely but high economic growth because of convergence assumptions, 1.8 (1.1, 2.9) • B2 – unlikely because of very high population growth assumptions, 2.4 (1.4,3.8) B1 Estimates Best Estimate Temp Change to 2030 Temp Change to 2100 Sea Level Rise to 2100 0.5 Likely Range 1.5 0.3-0.75 degrees 0.8-2.6 degrees na 0.15-0.35 m What would I advise policy makers? • Climate is extremely variable • Global warming since 1900 with associated sea rises; human activity is the major contributing factor • Distributional impacts of global warming • Unless greenhouse gas emissions further climate change and associated impacts can be expected What would I advise policy makers? • Best estimate until 2030 is temperature increase of 0.5 degrees, sea level increase of 8 cms; distributional impacts may be important • B1 group of scenarios is most consistent with authoritative assumptions on economic and population growth • A lot of uncertainity remains so take an adaptive approach with some hedging for risk Conclusion • Should the OECD(?) develop climate change projections using scenarios based on authoritative economic and population projections with appropriate use of PPPs?