Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
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62 Background and. Overview<br />
effort described in this report. The new set of emissions<br />
scenarios is intended for use in future <strong>IPCC</strong> assessments and<br />
by wider scientific and policymaliing communities who<br />
analyze the effects of future GHG emissions and develop<br />
mitigation and adaptation measures and policies. The<br />
emissions profiles of tlie new scenarios can provide inputs for<br />
GClVIs and simplified models of climate change. The new<br />
scenarios also contain information, such as the level of<br />
economic activity, rates of technological change and<br />
demographic developments in different world regions, required<br />
to assess climate-change impacts and vulnerabilities,<br />
adaptation strategies and policies. The same kind of<br />
information, in conjunction with emissions trajectories, can<br />
serve as a benchmark for the evaluation of alternative<br />
mitigation measures and policies. Finally, the new set of<br />
scenarios may provide a common basis and an integrative<br />
element for the Third Assessment Report (TAR).<br />
<strong>IPCC</strong> Working Group III ( WGIII) appointed the SRES writing<br />
team in January 1997. After some adjustments it eventually<br />
included more than 50 scientists. Together they represent a<br />
broad range of scientific disciplines, regional backgrounds and<br />
non-governmental organizations. In particular the team<br />
includes representatives of six leading groups with extensive<br />
expertise in modeling altemative emissions scenarios. It also<br />
includes a number of members who were convening and lead<br />
authors in all three earlier <strong>IPCC</strong> scenario activities (see above).<br />
Their expertise and familiarity with earlier <strong>IPCC</strong> emissions<br />
scenario work assured continuity and allowed the SRES effort<br />
to build efficiently upon prior work. Appendix II lists the<br />
members of the writing team and their affiliations.<br />
The writing team reached a consensus concerning the overall<br />
work program. It was agreed that the scenario development<br />
process would consist of four major components.<br />
• First, a review of existing global and regional emissions<br />
scenarios from the published literature and<br />
development of a unique database of 416 global and<br />
regional scenarios (accessible at a web site: wwwcger.nies.go.jp/cger-e/db/ipcc.html).<br />
• Second, an analysis of the range of the scenarios' main<br />
characteristics, their relationships, and their "driving<br />
forces" (such as population, economic development,<br />
energy consumption, rates of technological change and<br />
GHG emissions) and the documentation of the results,<br />
some of which are published in the peer-reviewed<br />
literature.^<br />
• Third, a formulation of narrative "storylines" to<br />
describe the main scenario characteristics, the<br />
development of quantitative prototype scenarios by six<br />
leading groups representing the main modeling<br />
approaches from around the world, and the publication<br />
of the prototype scenarios on a specially developed<br />
<strong>IPCC</strong> web site (sres.ciesin.org), on web sites of the<br />
modeling teams,'* and in the peer-reviewed literature.^<br />
• Fourth, an "open" process through the <strong>IPCC</strong> web site<br />
(sres.ciesin.org) that involves feedback from modeling<br />
groups and experts worldwide, followed by the <strong>IPCC</strong><br />
expert and govemment reviews that were coordinated<br />
by four review editors.<br />
Most of the background material and findings of the<br />
assessments conducted by the writing team have been<br />
documented in this report and in a series of publications<br />
including two special issues of intemational scientific journals,<br />
Mitigation and Adaptation Strategies for Global Change^ and<br />
Technological Forecasting and Social Change.^<br />
1.2. What are <strong>Scenarios</strong>?<br />
<strong>Scenarios</strong> are images of the future, or alternative futures. They<br />
are neither predictions nor forecasts. Rather, each scenario is<br />
one altemative image of how the future might unfold. A set of<br />
scenarios assists in the understanding of possible future<br />
developments of complex systems. Some systems, those that<br />
are well understood and for which complete information is<br />
available, can be modeled with some certainty, as is frequently<br />
the case in the physical sciences, and their future states<br />
predicted. However, many physical and social systems are<br />
poorly understood, and information on the relevant variables is<br />
so incomplete that they can be appreciated only through<br />
intuition and are best communicated by images and stories.<br />
Prediction is not possible in such cases (see Box 1-1 on<br />
uncertainties inherent in scenario analysis).<br />
<strong>Scenarios</strong> can be viewed as a linking tool that integrates<br />
qualitative narratives or stories about the future and<br />
quantitative formulations based on formal modeling. As such<br />
they enhance our understanding of how systems work, behave<br />
and evolve. <strong>Scenarios</strong> are useful tools for scientific<br />
assessments, for leaming about complex systems behavior and<br />
for policy making (Jefferson, 1983; Davis, 1999). In scientific<br />
assessments, scenarios are usually based on an internally<br />
consistent and reproducible set of assumptions or theories<br />
about the key relationships and driving forces of change, which<br />
are derived from our understanding of both history and the<br />
current situation. Often scenarios are formulated with the help<br />
of numeric or analytic formal models.<br />
Future levels of global GHG emissions are the products of a<br />
very complex, ill-understood dynamic system, driven by forces<br />
e.g., www-cger.nies.go.jp/cger-e/db/ipcc.html; www.iiasa.ac.at.<br />
3 Anderson, 1998; Alcamo and Swart, 1998; Gaffin, 1998; Gregory,<br />
1998; Gregory and Rogner, 1998; Grübler, 1998; Michaehs, 1998;<br />
Morita and Lee, 1998a; Nakicenovic et al., 1998; Price et al., 1998.<br />
^ de Vries et al., 2000; Fenhann, 2000; Jiang et al., 2000, Jung et ai,<br />
2000; Kram et al., 2000; Mori, 2000; Nakicenovic, 2000; Riahi and<br />
Roehrl, 2000; Roehri and Riahi, 2000; Sankovski et al., 2000.