Author(s): Van-Thanh-Van Nguyen; Truong-Huy Nguyen
Linked Author(s): Truong-Huy Nguyen, Van-Thanh-Van Nguyen
Keywords: Design storm; Urban storm drainage; Downscaling methods; Climate change; Urban hydrology
Abstract: Climate change has been recognized as having a profound impact on the design and management of urban storm drainage systems, and Global Climate Models (GCMs) have been used in many studies for assessing this impact. However, outputs from these models are usually at coarse resolutions and not suitable for the impact assessment at a small urban catchment scale or at a given location. Hence, different downscaling methods have been hence proposed for linking GCM predictions of climate change to hydrologic processes at the urban catchment scale for these impact studies. In particular, the downscaling of the rainfall process is important for a robust and accurate estimation of extreme rainfall for design of urban storm drainage systems in consideration of possible climate change. Therefore, the overall objective of the present paper is to provide an overview of some recent progress in the modeling of extreme rainfall process in a changing climate from both theoretical and practical viewpoints. More specifically, the main focus of this paper is on recent statistical downscaling (SD) methods for linking GCM climate predictors to observed rainfalls at a single site and at many sites concurrently. Examples of various applications using data from different regions in Canada and in South Korea will be presented to illustrate the feasibility and accuracy of the proposed methods.
Year: 2018