Final Technical Report - weADAPT

simulation on hydrological regime of the Mekong River sub-basins and potential crop
productivity yield in the study sites.
o Assessment of vulnerability and adaptation to climate impact were based on field
survey by individual households interviewing and focus group meeting. The analysis
on field interview data was based on quantitative analysis and multi-criteria method,
which used multiple criteria and indicators developed for this case study.
2.2.1 The study on climate change and its impact on biophysical systems: modeling
approach
o Study of climate change in Lower Mekong River Basin.
The study of the climate change under this study is based on high-resolution
regional climate scenario, which was simulated for the Southeast Asia region by
regional climate modeling technique as the downscaling technique has been proven to
be unable to give accurate result for the region. The Conformal Cubic Atmospheric
Model (CCAM), which is the second-generation regional climate model developed
specifically for Australasian region and developed by CSIRO Division of
Atmospheric Research in Australia, was used and the output resolution was set at 0.1
degree (approximately 10 km). The model uses the principle of stretched coordinate
of a global model instead of uniform latitude-longitude gridding system and runs for
18 vertical levels including the stratosphere. CCAM has also been evaluated in
several international model inter-comparison exercises to be among the best climate
model for Asian region (McGregor et al, 1998). The condition used for the simulation
of climate change scenarios was the increasing of atmospheric CO 2 concentration
from 360ppm, which was used as baseline in the analysis, to 540ppm and 720ppm.
o Study of impact of climate change on hydrological regime in Lower Mekong River
basin.
The study of the climate change impact on hydrological regime was based on the
Variable Infiltration Capacity (VIC) hydrological model. VIC is a macro-scale
hydrologic model that solves full water and energy balances, originally developed by
Xu Liang at the University of Washington.(Liang, et al, 1994) It is a semi-distributed
grid-based hydrological model that parameterizes the dominant hydro meteorological
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