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Focus: Changes in Extreme Temperatures<br />
A thorough assessment of extreme events by Field et al. (2012) concludes that it is very likely that the length, frequency, and<br />
intensity of heat waves will increase over most land areas, with more warming resulting in more extremes. Zwiers and Kharin<br />
(1998) report, when examining simulations with doubled CO 2,<br />
(which typically results in about 3°C global mean warming), that<br />
the intensity of extremely hot days, with a return time of 20 years, increases between 5°C and 10°C over continents, with the<br />
larger values over North and South America and Eurasia, related to substantial decreases in regional soil moisture.<br />
Meehl and Tebaldi (2004) found significant increases in intensity,<br />
duration, and frequency of three-day heat events under a businessas-usual<br />
scenario. The intensity of such events increases by up to<br />
3°C in the Mediterranean and the western and southern United<br />
States. Based on the SRES A2 transient greenhouse-gas scenario,<br />
Schär et al. (2004) predict that toward the end of the century about<br />
every second European summer could be as warm as or warmer<br />
than the summer of 2003. Likewise, Stott et al. (2004) show that<br />
under unmitigated emission scenarios, the European summer of<br />
2003 would be classed as an anomalously cold summer relative<br />
to the new climate by the end of the century. Barnett et al. (2006)<br />
show that days exceeding the present-day 99 th percentile occur more<br />
than 20 times as frequently in a doubled CO 2<br />
climate. In addition,<br />
extremely warm seasons are robustly predicted to become much<br />
more common in response to doubled CO 2<br />
(Barnett et al. 2006).<br />
Based on the same ensemble of simulations, Clark, Brown, and<br />
Murphy (2006) conclude that the intensity, duration, and frequency<br />
of summer heat waves are expected to be substantially greater<br />
over all continents, with the largest increases over Europe, North<br />
and South America, and East Asia.<br />
These studies, which analyze extreme weather events in<br />
simulations with a doubling of CO 2<br />
and those following a businessas-usual<br />
emissions path, can provide useful insights. Without<br />
exception, such studies show that heat extremes, whether on<br />
daily or seasonal time scales, greatly increase in climates more<br />
than 3°C warmer than today.<br />
To the authors’ knowledge, no single study has specifically<br />
analyzed the number of extremes in a world beyond 4°C warmer<br />
than preindustrial conditions. The authors address this gap in the<br />
science and provide statistical analysis of heat extremes in CMIP5<br />
(Coupled Model Intercomparison Project) climate projections that<br />
reach a 4°C world by the end of the 21st century (Taylor et al.<br />
2012). Methods are described in Appendix 2.<br />
A Substantial Increase in <strong>Heat</strong> Extremes<br />
The authors’ statistical analysis indicates that monthly heat extremes<br />
will increase dramatically in a world with global mean temperature<br />
more than 4°C warmer than preindustrial temperatures. Temperature<br />
anomalies that are associated with highly unusual heat extremes<br />
today (namely, 3-sigma events occurring only once in several hundreds<br />
of years in a stationary climate) 12 will have become the norm<br />
over most (greater than 50 percent) continental areas by the end<br />
of the 21st century. Five-sigma events, which are now essentially<br />
12 In general, the standard deviation (sigma) shows how far a variable tends to deviate<br />
from its mean value. In the authors’ study it represents the possible year-to-year<br />
changes in local monthly temperature because of natural variability. For a normal<br />
distribution, events warmer than 3 sigma away from the mean have a return time<br />
of 740 years and events warmer than 5 sigma have a return time of several million<br />
years. Monthly temperature data do not necessarily follow a normal distribution (for<br />
example, the distribution can have “long” tails making warm events more likely)<br />
and the return times can be different. Nevertheless, 3-sigma events are extremely<br />
unlikely and 4-sigma events almost certainly have not occurred over the lifetime<br />
of key infrastructure. A warming of 5 sigma means that the average change in the<br />
climate is 5 times larger than the normal year-to-year variation experienced today.<br />
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