Journal article 1383 views 198 downloads
Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study
,
Michael Webster ,
Ian Cluckie
Hydrology and Earth System Sciences, Volume: 20, Issue: 12, Pages: 4707 - 4715
Swansea University Authors:
Dehua Zhu, Shirley Echendu, Yunqing Xuan , Michael Webster , Ian Cluckie
-
PDF | Version of Record
Distributed under the terms of a Creative Commons Attribution 4.0 (CC-BY) Licence.
Download (2.23MB)
DOI (Published version): 10.5194/hess-20-4707-2016
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 h...
| Published in: | Hydrology and Earth System Sciences |
|---|---|
| ISSN: | 1607-7938 1607-7938 |
| Published: |
2016
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa31336 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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. |
|---|---|
| College: |
Faculty of Science and Engineering |
| Issue: |
12 |
| Start Page: |
4707 |
| End Page: |
4715 |