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Application Of Stochastic Downscaling Techniques To Global Climate Model Data For Regional Climate Prediction, Suchita Potta
Application Of Stochastic Downscaling Techniques To Global Climate Model Data For Regional Climate Prediction, Suchita Potta
LSU Master's Theses
Global warming is the most important issue of the present day that affects the climate drastically. This research was carried out to find out the effects of Global warming on Louisiana in future on a very finer spatial and temporal scale. For this purpose spatial downscaling technique is used, where finer resolution climate information is derived from a coarser resolution Global Climate Model (GCM) output. Empirical/statistical downscaling method is used in which sub grid scale changes are calculated as a function of large scale climate. For this purpose a stochastic weather generator and two Global models are considered. The two …