Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
An Overview of <strong>Scenarios</strong> 169<br />
4.1. Introduction<br />
In Chapter 4 the main characteristics of the scenarios<br />
developed for the Special Report on <strong>Emissions</strong> <strong>Scenarios</strong><br />
(SRES scenarios) are presented. These scenarios cover a wide<br />
range of driving forces from demographic to social and<br />
economic developments, and they encompass a wide range of<br />
future greenhouse gas (GHG) emissions (see Chapter 5).<br />
Chapters 2 and 3 provide an overview and assessment of the<br />
scenario literature, the main driving forces of future GHG<br />
emissions, and their relationships. How the driving forces are<br />
combined to produce a set of scenarios that cover the ranges of<br />
GHG emissions from the literature is described in this chapter.<br />
Chapters 2 and 3 demonstrate the large uncertainty in the<br />
literature that surrounds both future emissions and the possible<br />
developments of their underlying driving forces. The<br />
uncertainties range from inadequate scientiñc understanding of<br />
the problems, through data gaps or lack of data, to the inherent<br />
unceitainties of future events in general. Hence altemative<br />
scenarios are used to describe the range of possible future<br />
emissions.<br />
The SRES approach involved the development of a set of four<br />
ahemative scenario "families" (see Chapter 1, Section 1.7.2).<br />
Each family of SRES scenarios includes a descriptive part<br />
(called a "storyline") and a number of altemative interpretations<br />
and quantifications of each storyline developed by six different<br />
modeling approaches (see also Box 1-1 on terminology). Each<br />
storyline describes a demographic, social, economic,<br />
technological, and policy future for each of the scenario<br />
families. Within each family different scenarios explore<br />
variations of global and regional developments and their<br />
implications for GHG, ozone precursors, and sulfur emissions.<br />
Each of these scenarios is consistent with the broad framework<br />
specified by the storyline of the scenario family.<br />
Each storyline is basically a short "history" of a possible future<br />
development expressed as a combination of key scenario<br />
characteristics. These descriptions are styHzed and designed to<br />
facilitate specification and further interpretation of scenario<br />
quantifications. The storylines identify particular dynamics,<br />
visible in the world today, that might have important influences<br />
on future GHG emissions. They deliberately explore what<br />
might happen if social, economic, technical, and policy<br />
developments take a particular direction at the global level;<br />
they also pay attention to regional differences and interactions,<br />
especially between developing and industiialized countries.<br />
The broad consensus among the SRES writing team is that the<br />
current literature analysis suggests the future is inherently<br />
unpredictable and so views will differ as to which of the<br />
storylines and representative scenarios could be more or less<br />
likely. Therefore, the development of a single "best guess" or<br />
"business-as-usual" scenario is neither desirable nor possible.<br />
Nor should the storylines and scenarios be taken as policy<br />
recommendations. The storylines represent the playing out of<br />
certain social, economic, technological, and environmental<br />
paradigms, which will be viewed positively by some people<br />
and negatively by others. The SRES writing team decided on<br />
four storylines - an even number helps to avoid the impression<br />
of a "central" or "most likely" case. The team wanted more<br />
than two storylines to help illustrate that the future depends on<br />
many different underlying dynamics; the team wanted no more<br />
than four to avoid complicating the process with too many<br />
alternatives. The scenarios cover a wide range of, but not all<br />
possible, futures. In particular, it was decided that possible<br />
"suфrises" would not be considered and that there would be no<br />
"disaster" scenarios. The team decided to carry out sensitivity<br />
tests within some of the storylines by considering altemative<br />
scenarios with different fossil-fuel reserves, rates of economic<br />
growth, or rates of technical change. These sensitivity analyses<br />
resulted in groups of scenarios within a given scenario family<br />
and alternative scenario interpretations within a scenario group<br />
or family (see Section 4.2 below for a description of scenario<br />
terminology and taxonomy).<br />
The tities of the storylines are deliberately simple - Al, A2,<br />
Bl, and B2. There is no particular order among the storytines<br />
(they are listed alphabetically). Figure 4-1 shows that the SRES<br />
scenarios build on the main driving forces of GHG emissions.<br />
Each scenario family is based on a common specification of the<br />
main driving forces.<br />
All four storylines and scenario families describe future worlds<br />
that are generally more affluent compared to the current<br />
situation. They range from very rapid economic growth and<br />
technologic change to high levels of environmental protection,<br />
from low-to-high global populations, and from high-to-low<br />
GHG emissions. Perhaps more importantiy, all the storylines<br />
describe dynamic changes and transitions in generally different<br />
directions. The storylines do not include specific climatechange<br />
policies, but they do include numerous other socioeconomic<br />
developments and non-climate environmental<br />
policies. As time progresses, the storylines diverge from each<br />
other in many of their characteristic features. In this way they<br />
span the relevant range of GHG emissions and different<br />
combinations of their main sources.<br />
After the basic features and driving forces for each of the four<br />
storylines had been determined, the team quantified the<br />
storylines into individual scenarios with the help of formal<br />
(computer) models. While the writing team and the modeling<br />
groups included experts from around the world, all six<br />
modeling groups are based in Europe, North America, and<br />
Japan. As indicated above, each model quantification of a<br />
storyline constitutes a scenario, and all scenarios of one<br />
storyline constitute a "scenario family." The six models are<br />
representative of different approaches to emissions-scenario<br />
modeling and different integrated assessment frameworks in<br />
the literature, and include so-called top-down and bottom-up<br />
models. The use of different models reflects the SRES Terms<br />
of Reference call for méthodologie pluralism and for an open<br />
process (see Appendix I). The number and type of models<br />
chosen in the open process was on a voluntary basis. In January<br />
1997 the Intergovernmental Panel on Climate Change Working