09.04.2013 Views

Turks and Caicos Islands

Turks and Caicos Islands

Turks and Caicos Islands

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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 />

14

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!