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Volume 20, issue 12 | Copyright

Special issue: Modeling hydrological processes and changes

Hydrol. Earth Syst. Sci., 20, 4707-4715, 2016
https://doi.org/10.5194/hess-20-4707-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 29 Nov 2016

Research article | 29 Nov 2016

Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study

Dehua Zhu1,a, Shirley Echendu1, Yunqing Xuan1, Mike Webster1, and Ian Cluckie1 Dehua Zhu et al.
  • 1College of Engineering, Swansea University Bay Campus, Swansea, SA1 8EN, UK
  • anow at: School of Hydrometeorology, Nanjing University of Information Science and Technology. Nanjing, 210044, China

Abstract. Impact-focused studies of extreme weather require coupling of accurate simulations of weather and climate systems and impact-measuring hydrological models which themselves demand larger computer resources. In this paper, we present a preliminary analysis of a high-performance computing (HPC)-based hydrological modelling approach, which is aimed at utilizing and maximizing HPC power resources, to support the study on extreme weather impact due to climate change. Here, four case studies are presented through implementation on the HPC Wales platform of the UK mesoscale meteorological Unified Model (UM) with high-resolution simulation suite UKV, alongside a Linux-based hydrological model, Hydrological Predictions for the Environment (HYPE). The results of this study suggest that the coupled hydro-meteorological model was still able to capture the major flood peaks, compared with the conventional gauge- or radar-driving forecast, but with the added value of much extended forecast lead time. The high-resolution rainfall estimation produced by the UKV performs similarly to that of radar rainfall products in the first 2–3 days of tested flood events, but the uncertainties particularly increased as the forecast horizon goes beyond 3 days. This study takes a step forward to identify how the online mode approach can be used, where both numerical weather prediction and the hydrological model are executed, either simultaneously or on the same hardware infrastructures, so that more effective interaction and communication can be achieved and maintained between the models. But the concluding comments are that running the entire system on a reasonably powerful HPC platform does not yet allow for real-time simulations, even without the most complex and demanding data simulation part.

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The study in the paper is utilizing and maximizing high-performance computing (HPC) power resources to support the study on extreme weather impact due to climate change, which for the first time allows modellers to simulate the entire system, ranging from the global circulation to a target catchment for impact study on a single platform, where both NWP and the hydrological model are executed so that more effective interaction and communication can be achieved and maintained between the model.
The study in the paper is utilizing and maximizing high-performance computing (HPC) power...
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