Digital elevation model (DEM) derived conventionally from topographic maps and space borne satellites will provide various evidences about the change in earth features. It is one of the most fundamental data source of topographical relief information and delineate watershed boundaries which is being widely applied in numerous hydrological studies. A significant amount of work has been done to address the limitation and uncertainties of DEM. This review article aimed to bring all-inclusive considerations of DEM, i.e., derivative DEM sensors, types, accessibility, cost, horizontal & vertical accuracy and cell resolution. Based on evaluation this study would offer a good assistance to the research community and users for the implication of DEM services in appropriate hydrological models to avoid the ambiguities of modeling.

In this study, the performance of two different Microphysics Scheme options in Weather Research and Forecasting (WRF) model were evaluated for the estimating the precipitation forecast. The schemes WRF single moment class-3 (WSM-3) and single moment class-6 (WSM-6) were employed to produce the minimum, medium and maximum precipitation for the selected events over the Kuantan River Basin (KRB). The obtained simulated results were compared with the observed data from eight different rainfall gauging stations. The results comparison indicate that WRF model provides better forecasting at some rainfall stations for minimum and medium rainfall events but did not produce good result during maximum rainfall overall. The WSM-6 scheme is found to produce better result compared to WSM-3. The study also found that to acquire accurate precipitation results, it is also required to test some other physics scheme parameterization to enhance the model performance.