DOI: 10.5194/hess-20-4707-2016
Scopus记录号: 2-s2.0-85001022778
论文题名: Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study
作者: Zhu D ; , Echendu S ; , Xuan Y ; , Webster M ; , Cluckie I
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 12 起始页码: 4707
结束页码: 4715
语种: 英语
Scopus关键词: Climate change
; Climate models
; Computer operating systems
; Flood control
; Floods
; Forecasting
; Hydrology
; Radar
; Rain
; Soil moisture
; Effective interactions
; High performance computing (HPC)
; High resolution simulations
; Hydrological modelling
; Hydrological prediction
; Meteorological modeling
; Meteorological modelling
; Numerical weather prediction
; Weather forecasting
; climate change
; computer simulation
; extreme event
; flood forecasting
; hardware
; hydrological modeling
; hydrometeorology
; mesoscale meteorology
; precipitation assessment
; real time
; weather forecasting
; United Kingdom
; Wales
英文摘要: 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. © Author(s) 2016. CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78679
Appears in Collections: 气候变化事实与影响
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作者单位: College of Engineering, Swansea University Bay Campus, Swansea, United Kingdom; School of Hydrometeorology, Nanjing University of Information Science and Technology, Nanjing, China
Recommended Citation:
Zhu D,, Echendu S,, Xuan Y,et al. Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study[J]. Hydrology and Earth System Sciences,2016-01-01,20(12)