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4 - Probabilistic estimates of climate change: methods, assumptions and examples

from Part I - Climate system science

Published online by Cambridge University Press:  06 December 2010

By
Haroon S. Kheshgi
Edited by
Michael E. Schlesinger ,
Haroon S. Kheshgi ,
Joel Smith ,
Francisco C. de la Chesnaye ,
John M. Reilly ,
Tom Wilson  and
Charles Kolstad
Haroon S. Kheshgi
Affiliation:
ExxonMobil Research and Engineering, Annandale, NJ 08801
Michael E. Schlesinger
Affiliation:
University of Illinois, Urbana-Champaign
Haroon S. Kheshgi
Affiliation:
ExxonMobil Research and Engineering
Joel Smith
Affiliation:
Stratus Consulting Ltd, Boulder
Francisco C. de la Chesnaye
Affiliation:
US Environmental Protection Agency
John M. Reilly
Affiliation:
Massachusetts Institute of Technology
Tom Wilson
Affiliation:
Electric Power Research Institute, Palo Alto
Charles Kolstad
Affiliation:
University of California, Santa Barbara
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Summary

Introduction to approaches to estimating future climate change

An important approach to assessment of the risks of climate change relies on estimates of future climate based on a variety of methods including: simulation of the climate system; analysis of the sensitivity of climate system simulations to model parameters, parameterizations and models of climate system; and model-based statistical estimation constrained by a variety of historical data. The results of each of these methods are contingent on assumptions. Increasingly sophisticated approaches are being applied, and the implications, or even enumeration, of assumptions is becoming increasingly complex. This chapter gives an overview of the progression of methods used to estimate change in the future climate system and the climate sensitivity parameter. Model-based statistical estimation has the potential of synthesizing information from emerging climate data with models of the climate system to arrive at probabilistic estimates, provided all important uncertain factors can be addressed. A catalog of uncertain factors is proposed including consideration of their importance in affecting climate change estimates. Addressing and accounting for factors in the catalog, beginning with the most important and tractable, is suggested as an orderly way of improving estimates of future climate change.

A variety of methods have been used to generate projections or estimates. The simulations of state-of-the-art models discussed in Section 4.2 are often used as scenarios (plausible representations) of how climate might change in the future (Mearns et al., 2001).

Type
Chapter
Information
Human-Induced Climate Change
An Interdisciplinary Assessment
 , pp. 49 - 61
Publisher: Cambridge University Press
Print publication year: 2007

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