Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
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74 Background and Ovei-view<br />
1990 and 2100. This categorization can guide comparisons<br />
using either scenarios with different driving forces yet similar<br />
emissions, or scenarios with similar- driving forces but different<br />
emissions. This characteristic of SRES scenarios also has very<br />
important implications for the assessment of climate-change<br />
impacts, mitigation and adaptation strategies. Two future<br />
worlds with fundamentally different characteristic features,<br />
such as AIB and B2 marker scenarios, also have different<br />
cumulative COj emissions and radiative forcing, but very<br />
similar COj emissions in 2100. In contrast, scenarios that are<br />
in the same category of cumulative emissions can have<br />
fundamentally different driving forces and different CO,,<br />
emissions in 2100, but very similar cumulative emissions and<br />
radiative forcing. Presumably, adverse impacts and effective<br />
adaptation measures would vary among the scenarios from<br />
different families that share similar cumulative emissions but<br />
have different demographic, socio-economic and technological<br />
driving forces. This is another reason for considering the entire<br />
range of future emissions in future assessments of climate<br />
change. There is no single "best guess" or central scenario.<br />
The SRES emissions scenaiios also have different emissions<br />
for other GHGs and chemically active species such as carbon<br />
monoxide, nitrogen oxides, and volatile organic hydrocarbons.<br />
The emissions of other gases follow dynamic patterns much<br />
like those shown in Figure 1-6 for emissions. Further<br />
details about GHG emissions are given in Chapter 5. <strong>Emissions</strong><br />
of sulfur aerosol precursors portray even more dynamic<br />
patterns in time and space than the CO, emissions shown in<br />
Figure 1-6. Factors other than climate change, namely regional<br />
and local air quality, and transformations in the structure of the<br />
energy system and end use intervene to limit future emissions.<br />
In view of the significant adverse impacts, SOj emissions in<br />
the scenarios are increasingly controlled outside countries of<br />
the OECD. As such the SRES scenarios reflect both recent<br />
legislation in North America and in Europe and recent policy<br />
initiatives in a number of developing countries aimed at<br />
reducing SOj emissions (reviewed in more detail in Chapters 3<br />
and 5). As a result, in the second half of the 2F' century both<br />
the trends and regional patterns of SO^ emissions evolve<br />
differently from those of CO, emissions in the SRES scenarios.<br />
<strong>Emissions</strong> outside OECD90 rise initially, most notably in<br />
ASIA, and compensate for declining OECD90 emissions. Over<br />
die long term, however, SO, emissions decline throughout the<br />
world, but the timing and magnitude vary across the scenaiios.<br />
One important implication of this varying pattern of SOj<br />
emissions is that the historically important, but uncertain<br />
negative radiative forcing of sulfate aerosols may decline in the<br />
very long run.<br />
An important feature of the SRES scenarios is their<br />
implications for radiative forcing. A vigorous increase of<br />
global SOj emissions during the next few decades across most<br />
of the scenarios followed by a decline thereafter will lead to a<br />
coolmg effect that will differ from the effect that results from<br />
the continuously increasing SOj emissions in the IS92<br />
scenarios. On one hand, the reduction in global SOj emissions<br />
reduces the role of sulfate aerosols in determining future<br />
climate toward the end of the 21" century and therefore reduces<br />
one aspect of uncertainty about future climate change (because<br />
the precise forcing effect of sulfate aerosols is highly<br />
uncertain). On the other hand, uncertainty increases because of<br />
the diversity in spatial patterns of SO2 emissions in the<br />
scenarios. Future assessments of possible climate change need<br />
to account for these different spatial and temporal dynamics of<br />
GHG and SOj emissions, and they need to cover the whole<br />
range of radiative forcing associated with the scenarios.<br />
1.8. Structure of the Report<br />
The report consists of six chapters and 11 appendices. After<br />
this introductory chapter. Chapters 2 and 3 present the scenario<br />
literature review and analysis. Chapters 4 and 5 describe the<br />
new SRES scenarios. Chapter 6 summarizes the main findings,<br />
and the appendices present the méthodologie approach and<br />
statistical background material.<br />
Chapter 2 presents the assessment of anthropogenic GHG<br />
emissions scenarios and their main driving forces based on an<br />
extensive literature review. It describes the unique scenario<br />
database developed for this study, which contains over 400<br />
global and regional scenarios. The chapter presents the range<br />
of emissions from the scenarios in the literature with associated<br />
statistics such, as medians, percentiles and histograms. The<br />
main scenario driving forces are analyzed in the same way,<br />
from population and economic development to energy.<br />
Chapter 3 reviews the main driving forces of past and possible<br />
future anthropogenic GHG emissions. These include<br />
demographic, economic and social development, changes in<br />
resources and technology, agriculture and land-use change, and<br />
policy issues other than those related to climate. The<br />
relationships and possible interactions among the driving<br />
forces are highly complex and heterogeneous. The focus of the<br />
chapter is to provide an overview of the main driving forces<br />
and their possible relationships that are particularly relevant for<br />
the SRES scenarios.<br />
Chapter 4 presents the naiTative scenario storylines and the<br />
quantification of the main scenario driving forces with the six<br />
SRES IA models. First, an overview of the four storylines is<br />
given which describes their main characteristics, relationships<br />
and implications. Then, the 40 scenario quantifications of the<br />
four storylines with the six models are presented. For each<br />
storyline one scenario is designated as a representative marker<br />
scenario. Together the 40 scenarios span the range of scenario<br />
driving forces and their relationships presented in the previous<br />
two chapters.<br />
Chapter 5 documents anthropogenic GHG and SO2 emissions<br />
for the 40 SRES scenarios highlighting the four marker<br />
scenarios. First, COj emissions are presented, followed by<br />
other GHGs, and by the assessment of indhrect effects and<br />
aerosols. Together the 40 scenarios span the emissions ranges<br />
from the literature and the four marker scenarios jointly