Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
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An Overview of the Scenario Literature 79<br />
2.1. Introduction<br />
Presented in tliis cliapter is tlie assessment of more than 400<br />
global and regional greenhouse gas (GHG) emissions scenarios<br />
based on an extensive literature review. <strong>Emissions</strong> scenarios<br />
provide an important input for the assessment of future climate<br />
change. Future anthropogenic GHG emissions depend on<br />
numerous driving forces, including population growth,<br />
economic development, energy supply and use, land-use<br />
pattems, and a host of other human activities. These main<br />
driving forces that determine the emissions trajectories in the<br />
scenarios often also provide input to assess possible emissions<br />
mitigation strategies and possible impacts of unabated<br />
emissions. In view of the many different uses, it is not<br />
surprising that numerous emissions scenarios are presented in<br />
the literature and that the number of regional and global<br />
emissions scenarios is growing.<br />
An important characteristic of the scenarios in this Special Report<br />
on <strong>Emissions</strong> <strong>Scenarios</strong> (SRES) is that they reflect the underlying<br />
uncertainty, part of which derives from the range of emissions in<br />
the literature. The objective was to encompass the variation within<br />
the most important scenario driving forces and emissions, the<br />
complexity of possible relationships between driving forces and<br />
emissions, and the associated uncertainties that characterize<br />
altemative future developments. The SRES scenarios cover most<br />
of the range of the GHG emissions scenarios found in the<br />
Hterature, including the International Panel on CHmate Change<br />
(<strong>IPCC</strong>) 1992 <strong>Scenarios</strong> (IS92) series (Leggett et al., 1992). The<br />
writmg team considered the literature in creating a new set of<br />
scenarios. Importantly, however, the literature on existing<br />
scenarios provides only a general framework to aid analysis; it is<br />
mformative, but not determinative.<br />
The literature review consists of four parts;<br />
• documentarion of as many as possible of the<br />
quantitative global and regional emissions scenarios<br />
available both in the open literature and from<br />
international activities that involve documentation of<br />
submitted scenarios;<br />
• development of a scenario database to document the<br />
more than 400 emissions scenarios collected during the<br />
literature review;<br />
• evaluation of the ranges and relationships of the main<br />
scenario driving forces and the resultant emissions for<br />
the scenarios documented in the database; and<br />
• assessment of the scenario submissions received<br />
tlirough the SRES "open process."<br />
These four components of the literature review are well suited<br />
to document and assess the (quantitative) scenarios that assign<br />
numeric values to describe the future evolution of driving<br />
forces and emissions.<br />
Central to this assessment of emissions scenarios and their<br />
main driving forces is a unique scenario database developed by<br />
the National Institute for Environmental Studies (NIES) in<br />
Japan for SRES (Morita and Lee, 1998). The database<br />
version of 3 April 1998, which is assessed in this chapter,<br />
includes 416 different scenarios. The current database<br />
version can be accessed through an ftp-site<br />
(www-cger.nies.go.jp/cger-e/db/ipcc.html). It is the most<br />
comprehensive collection of emissions scenarios in the<br />
publicly available literature. It includes most of the recent<br />
global and regional scenarios and all of the scenarios used in<br />
the latest <strong>IPCC</strong> evaluation of emissions scenarios (Alcamo et<br />
al., 1995). Therefore, the emissions scenarios documented in<br />
the database are representative of the literature in general.<br />
However, there are a number of ways in which the coverage<br />
of the scenarios in the database could be extended in the<br />
future. For example, inclusion of long-term emissions<br />
scenarios for individual countries, when available, would<br />
improve the regional coverage (e.g., Parikh, 1996; Murthy et<br />
al., 1997). Also, a large majority of the scenarios report only<br />
energy-related carbon dioxide (CO2) emissions (230<br />
scenarios), while only some report non-energy CO, and other<br />
GHG emissions. This shortcoming of the emissions scenarios<br />
in the literature was identified in the last <strong>IPCC</strong> evaluation<br />
(Alcamo et al., 1995).<br />
The scenarios in the database were collected from 171 different<br />
literature sources and other scenario-evaluafion activities, such<br />
as the Energy Modeling Forum (EMF; see Weyant, 1993) and<br />
the International Energy Workshop (lEW; see Manne and<br />
Schrattenholzer, 1996, 1997). The scenarios span a wide range<br />
of assumptions about demographic trends, levels of economic<br />
development, energy consumption and efficiency pattems, and<br />
other factors. The aim of this chapter is to show how the<br />
database can be utilized for the analysis of GHG emissions<br />
ranges and their main driving forces. Part of this assessment of<br />
the emissions scenarios is based on an earlier publication on<br />
the analysis of scenarios documented in the SRES database<br />
(Nakicenovic etal, 1998a).<br />
The scenarios in the database display a large range of future<br />
GHG emissions. Part of the range can be attributed to the<br />
different methods and models used to formulate the scenarios,<br />
which include simple spreadsheet models, economic models,<br />
and systems-engineering models. However, most of the range<br />
results from differences in the input assumptions of the<br />
scenarios, in particular those of the main scenario driving<br />
forces. In addition, simply to compare altemative emissions<br />
levels across different scenaiios is not sufficient to shed light<br />
on internal consistency, plausibility, and comparability of the<br />
assumptions behind the scenarios. Analysis of the underlying<br />
driving forces is thus also an important part of the evaluation.<br />
This chapter provides an analysis of the main driving forces,<br />
such as population growth, economic growth, energy<br />
consumption, and energy and carbon intensities. Some of these<br />
driving forces are specified as model inputs, and some are<br />
derived from model outputs, so it is necessaiy to determine the<br />
assumed relationships among the main driving forces.<br />
Although the scenario database is well suited for the<br />
documentation of quantitative scenarios, there is also a