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206<br />
regional models (Christensen et al., 2007). However, it<br />
should be mentioned that as South America is a data-sparse<br />
region, the actual model skill is masked by existing<br />
uncertainties in the observational-based datasets used to<br />
evaluate models.<br />
A collaborative research for studying the regional climate<br />
with more detail as simulated by this CLARIS ensemble is<br />
in progress.<br />
3. Regional climate change experiment<br />
In this section we examine a regional climate change<br />
scenario carried out with RCA3. The model has a<br />
continental-scale domain and is forced, for present climate<br />
(1980-1999, 20C3M scenario, simulation hereafter called<br />
RCA20) and future climate (2080-2099, IPCC SRES A1B<br />
scenario, hereafter RCA21), with lateral boundary<br />
conditions and SSTs updated every six hours from a coupled<br />
global model, ECHAM5/MPI-OM (Jungclaus et al., 2006).<br />
An additional 20-year experiment, where RCA3 is forced by<br />
ERA40 reanalysis data (Uppala et al., 2005, hereafter<br />
RCAERA), aids in the identification of the sources of the<br />
biases for the present climate.<br />
RCA3 does inherit certain large-scaleerrors from the driving<br />
coupled model, in particular concerning the position of the<br />
convergence zones in the Atlantic Ocean. As a consequence,<br />
RCA20 presents spurious large rainfall and too cold surface<br />
temperature over northeastern Brazil. In other regions such<br />
as Southern Amazonia, the positive large precipitation bias<br />
in RCAERA is attenuated in the global model driven<br />
simulation. But in general, the geographical pattern of<br />
precipitation is more correct in the reanalysis driven<br />
simulation, except for the austral spring season (SON) when<br />
both simulations show a reasonable pattern, and RCA20<br />
actually is closer to the observed precipitation intensity.<br />
The seasonal mean surface air temperature response to the<br />
A1B scenario was found to be largest in the Amazon region,<br />
especially during SON. The seasonal mean precipitation<br />
response is largest during the monsoon seasons (SON and<br />
DJF). However, when assessing the response, it should be<br />
kept in mind that the present day biases are larger in<br />
magnitude than the model’s response to large-scale changes<br />
in circulation and SSTs for future climate. In SON the<br />
precipitation response is negative, suggesting a longer dry<br />
season and a delayed onset of the monsoon circulation in<br />
austral spring while in the mature monsoon phase (DJF) the<br />
response is positive in large areas of Western and Northern<br />
Amazonia.<br />
Changes in daily temperature are consistent with less cold<br />
temperature extremes and more warm temperature extremes<br />
throughout the continent. The distribution of precipitation on<br />
different intensity classes shows a tendency toward an<br />
increase in the number of dry days and a decrease in the<br />
number of precipitation events in many regions during the<br />
monsoon onset (SON). During the mature monsoon (DJF)<br />
the amount of dry days decreases and the strong and heavy<br />
precipitation events increases over most of the continent.<br />
The Southern Amazonia and Southern Andes regions show<br />
an increase of dry days for all seasons.<br />
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Assessment and Impact Studies. Climatic Change, in<br />
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Christensen, J.H. et al., Regional Climate Projections. In:<br />
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Contribution of Working Group I to the Fourth<br />
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