Computer based modelling has long been an established norm in hydrological studies. The demand of computing power in hydrological modelling domain, although keep steadily growing over past decades, it has never been higher as we now look into many impact studies due to climate change. While HPC has long been a major player in the neighbouring field of climate sciences, its role has yet to be defined when the resources become increasingly accessible to hydrological modellers attempting to address the impact of climate change in terms of extreme weather events. In this paper, we present a framework of HPC based hydrological modelling approach that can utilize and maximize the HPC power to support the study on extreme weather impact due to climate change. The framework is intended to achieve 1) seamlessly coupling of the hydrological models with the climate/numerical weather models that are supported by the same HPC platform; 2) supporting large-scale hydrological modelling in greater details; 3) conducting joint ensemble runs of coupled modelling systems so as to account for the modelling uncertainty; 4) supporting multi-model ensembles to identify potential extreme storms with certain climate projections; 5) the ability of processing large volume of data (terabyte level). An example of such system is also discussed with the implementation using Fujitsu’s HPC platform, the UK Unified Model (as the climate model backend) and a versatile interface to a number of preferred hydrological models.
Zhu, Dehua; Xuan, Yunqing; Webster, Mike; and Cluckie, Ian, "Developing A High Performance Computing (HPC) Based Hydrological Modelling Framework To Support Extreme Weather Impact Studies" (2014). CUNY Academic Works.