chapter - Atmospheric and Oceanic Science
chapter - Atmospheric and Oceanic Science
chapter - Atmospheric and Oceanic Science
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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