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3. CLIMATE MODELLING<br />
3.1. Introduction to Climate Modelling Results<br />
This summary of climate change information for The <strong>Turks</strong> <strong>and</strong> <strong>Caicos</strong> is derived from a combination of<br />
recently observed climate data sources, <strong>and</strong> climate model projections of future scenarios using both a<br />
General Circulation Model (GCM) ensemble of 15 models <strong>and</strong> the Regional Climate Model (RCM), PRECIS.<br />
General Circulation Models (GCMs) provide global simulations of future climate under prescribed<br />
greenhouse gas scenarios. These models are proficient in simulating the large scale circulation patterns<br />
<strong>and</strong> seasonal cycles of the world’s climate, but operate at coarse spatial resolution (grid boxes are typically<br />
around 2.5 degrees latitude <strong>and</strong> longitude). This limited resolution hinders the ability for the model to<br />
represent the finer scale characteristics of a region’s topography, <strong>and</strong> many of the key climatic processes<br />
which determine its weather <strong>and</strong> climate characteristics. Over the Caribbean, this presents significant<br />
problems as most of the small isl<strong>and</strong>s are too small to feature as a l<strong>and</strong> mass at GCM resolution.<br />
Regional Climate Models (RCMS) are often nested in GCMs to simulate the climate at a finer spatial scale<br />
over a small region of the world, acting to ‘downscale’ the GCM projections <strong>and</strong> provide a better physical<br />
representation of the local climate of that region. RCMs enable the investigation of climate changes at a<br />
sub-GCM-grid scale, as such changes in the dynamic climate processes at a community scale or tourist<br />
destination can be projected.<br />
For each of a number of climate variables (average temperature, average rainfall, average wind speed,<br />
relative humidity, sea-surface temperature, sunshine hours, extreme temperatures, <strong>and</strong> extreme rainfalls)<br />
the results of GCM multi-model projections under three emissions scenarios at the country scale, <strong>and</strong> RCM<br />
simulations from a single model driven by two different GCMs for a single emissions scenario at the<br />
destination scale, are examined. Where available, observational data sources are drawn upon to identify<br />
changes that are already occurring in the climates at both the country <strong>and</strong> destination scale.<br />
In this study, RCM simulations from PRECIS, driven by two different GCMs (ECHAM4 <strong>and</strong> HadCM3) are used<br />
to look at projected climate for each country <strong>and</strong> at the community level. Combining the results of GCM<br />
<strong>and</strong> RCM experiments allows the use of high-resolution RCM projections in the context of the uncertainty<br />
margins that the 15-model GCM ensemble provides.<br />
The following projections are based on the IPCC st<strong>and</strong>ard ‘marker’ scenarios – A2 (a ‘high’ emissions<br />
scenario), A1B (a medium high scenario, where emissions increase rapidly in the earlier part of the century<br />
but then plateau in the second half) <strong>and</strong> B1 (a ‘low’ emissions scenario). Climate projections are examined<br />
under all three scenarios from the multi-model GCM ensemble, but at present, results from the regional<br />
models are only available for scenario A2. Table 3.1.1 outlines the time line on which various temperature<br />
thresholds are projected to be reached under the various scenarios according to the IPCC.<br />
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