3.8.4. Stabilization Scenarios
The SRES scenarios assume no climate policy intervention, but nations already
are engaged in negotiations to reduce emissions of GHGs. Targets for stabilization
of GHG concentrations in the atmosphere are being investigated by scientists
and policymakers. TAR WGIII Chapter
2 reviews more than 120 mitigation scenarios, most of which aim to stabilize
emissions of CO2 at some target level. Simple climate models, as
well as some AOGCMs, have been used to estimate the climate and sea-level response
to stabilization (see Harvey et al., 1997; TAR WGI
Chapters 9 and 11). Relative to
most reference emissions scenarios (e.g., the SRES scenarios), stabilization
scenarios reduce global warming, especially beyond 2100. However, even for the
lowest stabilization targets considered (450 ppm), based on long simulations
by AOGCMs, the climate system and oceans may continue to respond for many centuries
after stabilization of atmospheric concentrations of GHGs. Furthermore, because
of regional variations in the time lag of response, regional patterns of climate
change might be quite different from the unmitigated case (Whetton et al.,
1998).
3.8.5. Scenarios of Changes in Climate Variability and Extreme
Events
It is demonstrated throughout this report that changes in climatic variability
and extremes often play a dominant role in climate change impacts. Moreover,
the magnitude and frequency of extreme events can change rapidly with only relatively
small changes in climatic averages (see Section 3.5.4.6).
However, climate modelers have more confidence in estimates of changes in averages
than in changes in variability and extremes (see TAR WGI
Chapters 8-10 and 13).
Thus, impact assessors need to look carefully at the extent to which changes
in variability and extremes are covered implicitly by changes in averages; when
this is not the case, they must incorporate possible changes in these phenomena
into scenarios. Table 3-10 summarizes projected
changes in several types of extreme climate events and their likelihood taken
from TAR WGI Technical Summary (see Table 1-1 for
a typology of extremes). Table 3-10 also provides
representative examples, drawn from different sectors and regions, of impacts
that would be expected with high confidence, conditional on the occurrence of
a given change in climate extremes. All of this information is reported in other
chapters in this report.
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