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Final Technical Report - weADAPT

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4 Characterization of Current Climate and Scenarios of Future Climate<br />

Change<br />

4.1 Activities Conducted: Development of high resolution regional climate scenario for<br />

the lower Mekong River region<br />

4.2 Description of Scientific Methods and Data<br />

This research had developed high resolution climate scenario for Southeast Asia<br />

region. The simulated climate scenario provides high resolution daily climate data at the<br />

resolution of 0.1 degree (approx. 10km), which would then be used as input for<br />

hydrological and crop model.<br />

The climate model used for this simulation is Conformal Cubic Atmospheric<br />

Model (CCAM), which is the second-generation regional climate model developed<br />

specifically for Australasian region by the CSIRO Division of Atmospheric Research in<br />

Australia. (McGregor et al, 1998) CCAM has also been evaluates in several international<br />

model inter-comparison exercises to be among the best climate model for Asian region.<br />

The model uses the principle of stretched coordinate of a global model instead of uniform<br />

latitude-longitude grid system, which helps minimizing<br />

‘bouncing’ effect at the boundary. This technique has<br />

advantage over the downscaling technique, which has<br />

been proven to be unable to give accurate result for the<br />

region. The simulation process in this “stretched grid<br />

technique” will make calculation for the specific area at<br />

high resolution while calculate the area further away at<br />

lower resolution in order to save computing time. Such<br />

technique has an important advantage that it can<br />

Figure 8: Stretched-grid with<br />

produce very high-resolution climate projections for controlled boundary in the study area<br />

the target study area, the output resolution was set at 0.1 degree (about 10 km). The<br />

CCAM model runs for 18 vertical levels including the stratosphere. It also allows for<br />

other features, such as land and sea surfaces surface land form and land cover be varied<br />

and climate be simulated under different combinations of atmospheric and land surface<br />

<strong>Final</strong> technical report – AIACC AS07 28

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