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Effects of Domain Selection on Singular-Value-Decomposition Based Statistical Downscaling of Monthly Rainfall Accumulation in Southern Taiwan
Terrestrial, Atmospheric and Oceanic Sciences
A singular-value-decomposition (SVD) statistical downscaling technique was developed for monthly rainfall over southern Taiwan. The statistical model was applied to seven different general circulation models. Seven different geographical domains for the large-scale atmospheric predictors were tested and their effects on rainfall projections were evaluated. Because different climate models indicate different future rainfall projections, a multi-model ensemble approach was applied to provide bestdoi:10.3319/tao.2013.01.09.01(a) fatcat:pwhyba5a5becnfyuop5pcyg3ea