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chapter - Atmospheric and Oceanic Science

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Climate scenarios<br />

From Table 12.2 it comes out that there would not be much difference between<br />

scenarios up to year 2040. That is, no matter what the emission scenario would be,<br />

climate changes up to that date would already be determined. However, the different<br />

options about emissions would be highly critical in the determination of the climate<br />

for the rest of the century.<br />

GCM projections indicate that the continental areas will warm faster <strong>and</strong> than<br />

oceans; the temperature increase of the air in the North Atlantic <strong>and</strong> in the areas<br />

around the Pole in the Antarctic Ocean will be less than in the world average.<br />

Likewise, there will be lower daily amplitude in temperature in many regions since<br />

minimum temperature will rise more than the maximum. Projections indicate a<br />

decrease of the snow <strong>and</strong> of ice cover in the northern hemisphere. It is important to<br />

highlight that many of these changes concur with trends detected in the observations.<br />

With a set of results from a multi-model GCM ensemble, considering different<br />

scenarios of GHG emissions, it is estimated the average climatic change over<br />

the ensemble <strong>and</strong> its degree of uncertainty. Figure 12.4 shows the annual mean<br />

changes of the surface temperature <strong>and</strong> their variation range (st<strong>and</strong>ard deviation)<br />

for the period 2071-2100 with respect to 1961-90 for scenarios A2 <strong>and</strong> B2. The features<br />

of the geographic response are similar for both scenarios but the amplitude of<br />

the climatic change patterns is lower for the simulations corresponding to scenario<br />

B2 than in the A2. The relationship between mean change <strong>and</strong> st<strong>and</strong>ard deviation<br />

increases to lower latitudes while at high latitudes next to the Antarctic continent<br />

has a minimum.<br />

Figure 12.5 shows the relative change in the mean of all models precipitation,<br />

which reveals a general increase in the tropics <strong>and</strong> the mid <strong>and</strong> high latitudes, <strong>and</strong><br />

a reduction over most of the sub-tropical belts. The areas of decreased precipitation<br />

show a high inter-model variability <strong>and</strong> therefore little consistency among models,<br />

while at the tropics the change can exceed the st<strong>and</strong>ard deviation by a factor of 2.<br />

This is particularly evident over the central <strong>and</strong> eastern tropical Pacific where the<br />

El Niño-like surface temperature warming is associated with an eastward shift of<br />

positive precipitation anomalies. The A2 <strong>and</strong> B2 scenario experiments exhibit a relatively<br />

large increase in precipitation over the Sahara <strong>and</strong> Arabia, but with large<br />

inter-model variability. This is partly an artifact of using percentage change rather<br />

than absolute values, since in these regions the annual precipitation total is very<br />

small. In particular, over South America, it is also interesting to notice that the<br />

North <strong>and</strong> Northeast Brazil show negative precipitation anomalies in the future projection<br />

while the Southeast of the South America <strong>and</strong> particularly over the La Plata<br />

basin, the rainfall tends to increase.<br />

In the case of the sea level pressure between the period 2071-2100 relative to<br />

1961-90 (Fig. 12.6), the most relevant feature resulting of the ensemble of different<br />

models is the reduction of the pressure in high latitudes <strong>and</strong> the increase in mean<br />

latitudes. On the other h<strong>and</strong>, several studies on the southern hemisphere show that<br />

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