Saurabh Singh is a 3rd year PhD student in school of Civil and environmental engineering, NTU Singapore under Assoc Prof Lo Yat-Man, Edmond and Asst Prof Qin Xiaosheng. His expertise lies in running NWP models with appropriate physics for the region and postprocessing the different forms of NetCDF and GRIB data. His PhD research is related to downscaling GCM data and improving the dowscaled outputs using various statistical approaches and numerical weather models like WRF. The motivation for his work is to improve the quality of downscaled precipitation data so to directly use it for various impact studies.
Presentation Title
A Combined Downscaling Approach to Downscale Precipitation from GCM Data
Abstract
Global Climate Models (GCMs) perform poorly over the Maritime Continent (MC) as they typically run at a very coarse resolution. Hence, local climate variability effects are not properly captured. The resolution problems of the GCMs can be resolved by dynamical or statistical downscaling. However, very few Regional Climate Models (RCMs), work over the MC have been reported also generating such data using RCMs is computationally very expensive. In order to address these issues, a combined dynamical and statistical downscaling approach is used and improvements are reported in the presentation.