Global Warming: Forecasts by Scientists versus Scientific Forecasts
نویسندگان
چکیده
In 2007, the Intergovernmental Panel on Climate Change’s Working Group One, a panel of experts established by the World Meteorological Organization and the United Nations Environment Programme, issued its Fourth Assessment Report. The Report included predictions of dramatic increases in average world temperatures over the next 92 years and serious harm resulting from the predicted temperature increases. Using forecasting principles as our guide we asked: Are these forecasts a good basis for developing public policy? Our answer is “no”. To provide forecasts of climate change that are useful for policy-making, one would need to forecast (1) global temperature, (2) the effects of any temperature changes, and (3) the effects of feasible alternative policies. Proper forecasts of all three are necessary for rational policy making. The IPCC WG1 Report was regarded as providing the most credible long-term forecasts of global average temperatures by 31 of the 51 scientists and others involved in forecasting climate change who responded to our survey. We found no references in the 1056-page Report to the primary sources of information on forecasting methods despite the fact these are conveniently available in books, articles, and websites. We audited the forecasting processes described in Chapter 8 of the IPCC’s WG1 Report to assess the extent to which they complied with forecasting principles. We found enough information to make judgments on 89 out of a total of 140 forecasting principles. The forecasting procedures that were described violated 72 principles. Many of the violations were, by themselves, critical. The forecasts in the Report were not the outcome of scientific procedures. In effect, they were the opinions of scientists transformed by mathematics and obscured by complex writing. Research on forecasting has shown that experts’ predictions are not useful in situations involving uncertainly and complexity. We have been unable to identify any scientific forecasts of global warming. Claims that the Earth will get warmer have no more credence than saying that it will get colder. Comments Suggested Citation: Green, K.C. and Armstrong, J.S. (2007). Global Warming: Forecasts by Scienctists Versus Scientific Forecasts. Energy & Environment. Vol. 19(7-8). p. 997-1021. Publisher URL: http://multi-science.metapress.com/content/121493/ This journal article is available at ScholarlyCommons: http://repository.upenn.edu/marketing_papers/168 MULTI-SCIENCE PUBLISHING CO. LTD. 5 Wates Way, Brentwood, Essex CM15 9TB, United Kingdom Reprinted from ENERGY & ENVIRONMENT VOLUME 18 No. 7+8 2007 GLOBAL WARMING: FORECASTS BY SCIENTISTS VERSUS SCIENTIFIC FORECASTS
منابع مشابه
Evidence-based Forecasting for Climate Change Policies
In order to meet policy makers’ need for climate forecasts, this paper extends the application of evidence-based forecasting of global mean temperatures. The extensions utilize more years of global mean temperature data and 34 years of better data. Forecasts from the no-trend model were compared with forecasts from six moresophisticated methods that take account of more than the most recent dat...
متن کاملFreight transport development forecasts in enterprises management
In this study, an investigation of long-term forecasts relating to the development of the transport sector in Poland is performed, including the ones by 2030 and 2050. Selected transport development forecasts from the perspective of the membership of Poland in the European Union are presented and most of all, from the perspective of national studies. The basement for the review was the prognosi...
متن کاملEvidence-based Forecasting for Climate Change
Following Green, Armstrong and Soon’s (IJF 2009) (GAS) naïve extrapolation, Fildes and Kourentzes (IJF 2011) (F&K) found that each of six more-sophisticated, but inexpensive, extrapolation models provided forecasts of global mean temperature for the 20 years to 2007 that were more accurate than the “business as usual” projections provided by the complex and expensive “General Circulation Models...
متن کاملStationarity of Global Per Capita Carbon Dioxide Emissions: Implications for Global Warming Scenarios
Annual global CO2 emission forecasts at 2100 span 10 to 40 billion tonnes. Modeling work over the past decade has not narrowed this range nor provided much guidance about probabilities. We examine the time-series properties of historical per capita CO2 emissions and conclude that per capita global emissions are stationary without trend, and have a constant mean of 1.14 tonnes per person with st...
متن کاملConfronting Models with Atmospheric Radiation Measurement Data: A Statistical Comparison of Southern Great Plains Atmospheric Emitted Radiance Interferometer Radiance Spectra and Global Climate Models Output
Forecasts of decadal climate change at subcontinental scales made by global climate models (GCMs) are currently too uncertain to be useful to policy makers. For example, the forecasts of global mean surface temperatures in the current Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions (SRES) A1B scenario show an agreement across 15 models of about ±0.75 K in warming of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007