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Weather and Climate Extremes in a Changing Climate. Regions of ...

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Vecchi <strong>and</strong> Soden (2007) have assessed the<br />

different components <strong>of</strong> the Emanuel <strong>and</strong><br />

Nolan (2004) scheme us<strong>in</strong>g outputs from the<br />

IPCC AR4 models. Their results suggest that<br />

a decrease <strong>in</strong> tropical cyclone frequency may<br />

occur over some parts <strong>of</strong> the Atlantic bas<strong>in</strong><br />

associated with a SW-NE oriented b<strong>and</strong> <strong>of</strong> less<br />

favorable conditions for tropical cyclogenesis<br />

<strong>and</strong> <strong>in</strong>tensification, <strong>in</strong>clud<strong>in</strong>g enhanced vertical<br />

w<strong>in</strong>d shear, reduced mid-tropospheric relative<br />

humidity, <strong>and</strong> slight decrease <strong>in</strong> potential <strong>in</strong>tensity.<br />

The enhanced vertical shear feature (present<br />

<strong>in</strong> about 14 <strong>of</strong> 18 models <strong>in</strong> the Caribbean<br />

region) also extends <strong>in</strong>to the ma<strong>in</strong> cyclogenesis<br />

region <strong>of</strong> the Eastern Pacific bas<strong>in</strong>. Physically,<br />

this projection is related to the weaken<strong>in</strong>g <strong>of</strong><br />

the east-west oriented Walker Circulation <strong>in</strong> the<br />

Pacific region, similar to that occurr<strong>in</strong>g dur<strong>in</strong>g<br />

El Niño events. Dur<strong>in</strong>g El Niño conditions <strong>in</strong><br />

the present-day climate, hurricane activity is<br />

reduced, as occurred, for example, <strong>in</strong> the latter<br />

part <strong>of</strong> the 2006 season. While this projection<br />

may appear at odds with observational evidence<br />

for an <strong>in</strong>crease <strong>in</strong> Atlantic tropical cyclone<br />

counts dur<strong>in</strong>g the past century (Holl<strong>and</strong> <strong>and</strong><br />

Webster, 2007; Vecchi <strong>and</strong> Knutson, 2008),<br />

there is evidence that this has occurred <strong>in</strong><br />

conjunction with a regional decreas<strong>in</strong>g trend<br />

<strong>in</strong> storm occurrence <strong>and</strong> formation rates <strong>in</strong><br />

the western part <strong>of</strong> the Caribbean <strong>and</strong> Gulf <strong>of</strong><br />

Mexico (Vecchi <strong>and</strong> Knutson, 2008; Holl<strong>and</strong>,<br />

2007). Earlier, Knutson <strong>and</strong> Tuleya (2004) had<br />

exam<strong>in</strong>ed the vertical w<strong>in</strong>d shear <strong>of</strong> the zonal<br />

w<strong>in</strong>d component for a key region <strong>of</strong> the tropical<br />

Atlantic bas<strong>in</strong> us<strong>in</strong>g n<strong>in</strong>e different coupled<br />

models from the CMIP2+ project. Their analysis<br />

showed a slight preference for <strong>in</strong>creased vertical<br />

shear under high CO 2 conditions if all <strong>of</strong> the<br />

models are considered, <strong>and</strong> a somewhat greater<br />

preference for <strong>in</strong>creased shear if only the six<br />

models with the most realistic present-day<br />

simulation <strong>of</strong> shear <strong>in</strong> the bas<strong>in</strong> are considered.<br />

Note that these studies are based on different<br />

sets <strong>of</strong> models, <strong>and</strong> that a more idealized future<br />

forc<strong>in</strong>g scenario was used <strong>in</strong> the earlier Knutson<br />

<strong>and</strong> Tuleya study.<br />

Alternative approaches to the empirical analysis<br />

<strong>of</strong> large-scale fields are the global <strong>and</strong> regional<br />

climate simulations, <strong>in</strong> which the occurrence<br />

<strong>of</strong> model tropical cyclones can be tracked.<br />

Beg<strong>in</strong>n<strong>in</strong>g with the early studies <strong>of</strong> Broccoli<br />

<strong>and</strong> Manabe (1990), Haarsma et al. (1993), <strong>and</strong><br />

<strong>Weather</strong> <strong>and</strong> <strong>Climate</strong> <strong>Extremes</strong> <strong>in</strong> a Chang<strong>in</strong>g <strong>Climate</strong><br />

<strong>Regions</strong> <strong>of</strong> Focus: North America, Hawaii, Caribbean, <strong>and</strong> U.S. Pacific Isl<strong>and</strong>s<br />

Bengtsson et al. (1996), a number <strong>of</strong> <strong>in</strong>vestigators<br />

have shown that global models can<br />

generate tropical cyclone-like disturbances <strong>in</strong><br />

roughly the correct geographical locations with<br />

roughly the correct seasonal tim<strong>in</strong>g. The annual<br />

occurrence rate <strong>of</strong> these systems can be quite<br />

model dependent (Camargo et al., 2005), <strong>and</strong> is<br />

apparently sensitive to various aspects <strong>of</strong> model<br />

physics (e.g., Vitart et al., 2001).<br />

The notion <strong>of</strong> us<strong>in</strong>g global models to simulate<br />

the climate change response <strong>of</strong> tropical cyclone<br />

counts is given some support by several studies<br />

show<strong>in</strong>g that such models can successfully<br />

simulate certa<strong>in</strong> aspects <strong>of</strong> <strong>in</strong>terannual<br />

to <strong>in</strong>terdecadal variability <strong>of</strong> tropical-cyclone<br />

occurrence seen <strong>in</strong> the real world (Vitart et al.,<br />

1997; Camargo et al., 2005; Vitart <strong>and</strong> Anderson,<br />

2001). A recent regional model dynamical<br />

downscal<strong>in</strong>g study (Knutson et al., 2007) with<br />

an 18 km grid model <strong>and</strong> a more idealized<br />

model<strong>in</strong>g approach (Emanuel et al., 2008)<br />

both <strong>in</strong>dicate that the <strong>in</strong>crease <strong>in</strong> hurricane<br />

activity <strong>in</strong> the Atlantic from 1980-2005 can be<br />

reproduced <strong>in</strong> a model us<strong>in</strong>g specified SSTs <strong>and</strong><br />

large-scale historical atmospheric <strong>in</strong>formation<br />

from reanalyses.<br />

S<strong>in</strong>ce tropical cyclones are relatively rare<br />

events <strong>and</strong> can exhibit large <strong>in</strong>terannual to<br />

<strong>in</strong>terdecadal variability, large sample sizes (i.e.,<br />

many seasons) are typically required to test the<br />

significance <strong>of</strong> any changes <strong>in</strong> a model simulation<br />

aga<strong>in</strong>st the model’s “natural variability.”<br />

The most recent future projection results obta<strong>in</strong>ed<br />

from medium <strong>and</strong> high resolution (120<br />

km-20 km) GCMs are summarized <strong>in</strong> Table<br />

3.2. Among these models, those with higher<br />

resolution <strong>in</strong>dicate a consistent signal <strong>of</strong> fewer<br />

tropical cyclones globally <strong>in</strong> a warmer climate,<br />

while two lower resolution models f<strong>in</strong>d essentially<br />

no change. There are, however, regional<br />

variations <strong>in</strong> the sign <strong>of</strong> the changes, <strong>and</strong> these<br />

vary substantially between models (Table<br />

3.2). For the North Atlantic <strong>in</strong> particular, more<br />

tropical cyclones are projected <strong>in</strong> some models,<br />

despite a large reduction globally (Sugi et al.,<br />

2002; Oouchi et al., 2006), while fewer Atlantic<br />

tropical cyclones are projected by other models<br />

(e.g., McDonald et al., 2005; Bengtsson et al.,<br />

2007). It is not clear at present how the Sugi et<br />

al. (2002) <strong>and</strong> Oouchi et al. (2006) results for<br />

While there is<br />

recent observational<br />

evidence for an<br />

<strong>in</strong>crease <strong>in</strong> the<br />

number <strong>of</strong> tropical<br />

storms <strong>and</strong><br />

hurricanes <strong>in</strong> the<br />

Atlantic, a confident<br />

assessment <strong>of</strong> future<br />

storm frequency<br />

cannot be made at<br />

this time.<br />

111

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