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Emissions Scenarios - IPCC

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Technical Summary 41<br />

3000<br />

e<br />

о<br />

2500<br />

a<br />

2000<br />

High > 1800 GtC<br />

Al FI<br />

A2<br />

о<br />

s<br />

о<br />

-£<br />

1500<br />

Medium-Hii >h 1450- ISOOGtG<br />

••••••••••••••<br />

Medium-Lo w 1100- 450 GtC<br />

AlB<br />

IS92 range<br />

><br />

1000 -<br />

Low< llOOGlC<br />

Bl<br />

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s<br />

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1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100<br />

H<br />

Figure TS-9: Global cumulative CO2 emissions (GtC, standardized). The ranges of cumulative emissions for the SRES<br />

scenarios are shown. <strong>Scenarios</strong> are grouped into four categories: low, medium-low, medium-high, and high emissions. Each<br />

category contains one marker scenario plus alternatives that lead to comparable cumulative emissions, although often through<br />

different driving forces. The ranges of cumulative emissions of the six SRES scenario groups are shown as colored vertical<br />

bars and the range of the IS92 scenarios as a black vertical bar.<br />

toward higher emissions (SRES maximum of 2570 GtC<br />

compared to 2140 GtC for IS92), but not toward lower<br />

emissions. The lower bound for both scenario sets is just below<br />

800 GtC.<br />

This categorization can guide comparisons using either<br />

scenarios with different driving forces yet similar emissions,<br />

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 the AlB and B2 marker scenarios, also have different<br />

cumulative CO2 emissions and radiative forcing, but very<br />

similar CO2 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 CO2<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<br />

technological driving forces. This is another reason for<br />

considering the entire range of emissions in future<br />

assessments of climate change.<br />

9.2. Other Greenhouse Gases<br />

Of the GHGs, CO2 is the main contributor to anthropogenic<br />

radiative forcing because of changes in concentrations from<br />

pre-industrial times. According to Houghton et al. (1996) wellmixed<br />

GHGs (CO2, CH4, N2O, and the halocarbons) induced<br />

additional radiative forcing of around 2.5 W/m^ on a global and<br />

annually averaged basis. CO2 accounted for 60% of the total,<br />

which indicates that the other GHGs are significant as well.<br />

Whereas CO^ emissions are by-and-large attributable to two<br />

major sources, energy consumption and land-use change, other<br />

emissions arise from many different sources and a large number<br />

of sectors and applications (e.g. see Table 5-3 in Chapter 5).<br />

The SRES emissions scenarios also have different emissions<br />

for other GHGs and chemically active species such as CO,<br />

NO J,, nitrogen oxides, and NMVOCs. The uncertainties that<br />

surround the emissions sources of the other GHGs, and the<br />

more complex set of driving forces behind them are<br />

considerable and unresolved. Therefore, the models and<br />

approaches employed for the SRES analyses cannot produce<br />

unambiguous and generally approved estimates for different<br />

sources and world regions over a century. Keeping these<br />

caveats above in mind, Table TS-4 (see later) shows the<br />

emissions of all relevant direct and indirect GHGs for the four<br />

marker scenarios and, in brackets, the range of the other<br />

scenarios in the same family (or scenario groups for the AI

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