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chapter - Atmospheric and Oceanic Science

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Correlations between CPTEC/COLA AGCM results <strong>and</strong> observation precipitation<br />

anomalies are presented in figure 13.5. There are high correlation values over<br />

northern <strong>and</strong> northeastern South America <strong>and</strong> some areas over the La Plata basin<br />

region with values above 60% in summer, autumn <strong>and</strong> spring, increasing the confidence<br />

on the model results during these seasons.<br />

Differences between surface mean annual temperatures of the NCEP/NCAR<br />

reanalyses (Kalnay et al. 1996) <strong>and</strong> those of four GCMs indicate that models tend<br />

to overestimate the temperature in most of Buenos Aires province, Northeast of<br />

Argentina, Uruguay <strong>and</strong> South of Brazil <strong>and</strong> underestimate it in a longitudinal strip<br />

centred approximately at 62.5ºW. The model that best represents the mean annual<br />

temperature of this region is HadCM3 that overestimates temperature between 0º<br />

<strong>and</strong> 1.5ºC.<br />

13.4. Regional scenarios for the La Plata basin<br />

13.4.1. Hadley Centre GCM<br />

Regional climatic scenarios<br />

Fig. 13.4. Precipitation anomaly over South Brazil <strong>and</strong> Uruguay from nine integrations (CPTEC/COLA<br />

AGCM) <strong>and</strong> CMAP, in JJAS.<br />

[Source: Marengo et al 2003]<br />

Using the Hadley Centre GCM outputs for the emission scenarios A2 <strong>and</strong> B2,<br />

the differences between projected precipitation for the decades 2020, 2050 <strong>and</strong><br />

2080 <strong>and</strong> the reference period (1961-1990), are in figures 13.6 <strong>and</strong> 13.7. Results<br />

171

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