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Emissions Scenarios - IPCC

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88 An Overview of the Scenario Literature<br />

Table 2-2: Database minimum, maximum, and median CO^ emissions levels in the year 2100 (in GtC). Data source: Morita<br />

and Lee, 1998.<br />

Number of scenarios Minimum Maximum Median<br />

Intervention scenarios 62 -2.1 14.4 6.0<br />

Non-intervention scenarios 88 1.2 59.4 21.3<br />

Non-classified scenarios 40 -0.4 32.4 15.2<br />

Total sample 190 -2.1 59.4 15.7<br />

than the total sample - 21 GtC in 2100 compared with the 15.7<br />

GtC median found in the total sample. The lower median of the<br />

total sample may result from downward pressure exerted by the<br />

inclusion of some intervention scenarios in the total sample.<br />

However, it could also result from the influence of IS92a-like<br />

scenarios (upward pressure) in the non-intervention sample<br />

(see also Figure 2-10-<br />

Figure 2-Id likewise depicts spaghetti curves for the intervention<br />

scenarios. The entire range for the intervention scenarios is small<br />

compared to those of the no policy scenarios and the total set of<br />

scenarios. In 2100 the maximum (14.4 GtC) and the median (6<br />

GtC) of this sample are significantly lower than maximum and<br />

median values of the full and non-intervention sets.<br />

Figure 2-le shows the range for scenarios that could not be<br />

classified into these two groups because of insufficient<br />

infonnation in the database. The range of scenarios in this<br />

category is similar to that of the total sample in that it is very<br />

broad. The median of this set in 2100 is also similar to that of<br />

the total sample (15.7 GtC) and follows a similar trajectory.<br />

Finally, the IS92a scenario (Leggett et ai, 1992; Pepper et al,<br />

1992) appears to have influenced subsequent emissions scenarios<br />

in the literature. The median population, gross world product, and<br />

primary energy consumption trends in many scenarios in the<br />

literature track very closely the developments in the IS92a<br />

scenario (Morita and Lee, 1998). This is because IS92a<br />

constituted a reference baseline that was emulated by different<br />

60<br />

Total database range<br />

s<br />

о<br />

S<br />

.-S<br />

50<br />

40<br />

.9 Г. и 30<br />

о<br />

в<br />

л<br />

и<br />

я 20<br />

и<br />

"я<br />

о<br />

10<br />

5<br />

1900<br />

Statistics for 2100<br />

N= 62 (75 in 1990)<br />

95% = 10.5 GtC<br />

75% = 7.2 GtC<br />

Median = 6.0 GtC<br />

25% = 4.5 GtC<br />

5%= I.SGfC<br />

1990 range<br />

1950 2000 2050 ^2100<br />

95%<br />

75%<br />

Median<br />

25%<br />

5%<br />

Figure 2-Id: Global energy-related and industrial CO2 emissions for 75 intervention scenarios identified from the SRES<br />

database. Historical development and future scenarios are shown as absolute values in GtC. Median (50*), 5*, 25*, 75*, and<br />

95* percentiles of the frequency distribution are shown. The statistics associated with scenarios from the literature do not<br />

imply probability of occurrence. The emissions paths for intervention scenarios show a more limited range of future emissions<br />

than do those for the non-intervention scenarios (see Figure 2-Ic). The actual coverage of COj emissions sources may vary<br />

across the 75 scenarios from the database included in the figure. The scenario samples used vary across the time steps (for<br />

1990 75 scenarios; for 2100 62 scenarios were analyzed). Data sources: Morita and Lee, 1998; Nakicenovic et a/.,1998a.

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