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Emissions Scenarios - IPCC

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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

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