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Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures

D. Zhu, Y. Xuan, I. Cluckie, Ian Cluckie, Yunqing Xuan Orcid Logo

Hydrology and Earth System Sciences, Volume: 18, Issue: 1, Pages: 257 - 272

Swansea University Authors: Ian Cluckie, Yunqing Xuan Orcid Logo

DOI (Published version): 10.5194/hess-18-257-2014

Abstract

Radar rainfall estimates have become increasingly available for hydrological modellers over recent years, especially for flood forecasting and warning over poorly gauged catchments. However, the impact of using radar rainfall as compared with conventional raingauge inputs, with respect to various hy...

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Published in: Hydrology and Earth System Sciences
Published: 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa21110
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spelling 2018-01-19T19:08:56.8063519 v2 21110 2015-05-06 Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures d801af52a3cfb625308bd4301583064e Ian Cluckie Ian Cluckie true false 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2015-05-06 FGSEN Radar rainfall estimates have become increasingly available for hydrological modellers over recent years, especially for flood forecasting and warning over poorly gauged catchments. However, the impact of using radar rainfall as compared with conventional raingauge inputs, with respect to various hydrological model structures, remains unclear and yet to be addressed. In the study presented by this paper, we analysed the flow simulations of the upper Medway catchment of southeast England using the UK NIMROD radar rainfall estimates, using three hydrological models based upon three very different structures (e.g. a physically based distributed MIKE SHE model, a lumped conceptual model PDM and an event-based unit hydrograph model PRTF). We focused on the sensitivity of simulations in relation to the storm types and various rainfall intensities. The uncertainty in radar rainfall estimates, scale effects and extreme rainfall were examined in order to quantify the performance of the radar. We found that radar rainfall estimates were lower than raingauge measurements in high rainfall rates; the resolutions of radar rainfall data had insignificant impact at this catchment scale in the case of evenly distributed rainfall events but was obvious otherwise for high-intensity, localised rainfall events with great spatial heterogeneity. As to hydrological model performance, the distributed model had consistent reliable and good performance on peak simulation with all the rainfall types tested in this study. Journal Article Hydrology and Earth System Sciences 18 1 257 272 21 1 2014 2014-01-21 10.5194/hess-18-257-2014 This work is distributed under the Creative Commons Attribution 3.0 License. COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2018-01-19T19:08:56.8063519 2015-05-06T13:50:39.5874456 College of Engineering Engineering D. Zhu 1 Y. Xuan 2 I. Cluckie 3 Ian Cluckie 4 Yunqing Xuan 0000-0003-2736-8625 5 0021110-10052016115340.pdf hess-18-257-2014.pdf 2016-05-10T11:53:40.2030000 Output 2005563 application/pdf Version of Record true 2016-05-10T00:00:00.0000000 © Author(s) 2014. CC Attribution 3.0 License. true
title Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures
spellingShingle Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures
Ian Cluckie
Yunqing Xuan
title_short Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures
title_full Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures
title_fullStr Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures
title_full_unstemmed Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures
title_sort Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures
author_id_str_mv d801af52a3cfb625308bd4301583064e
3ece84458da360ff84fa95aa1c0c912b
author_id_fullname_str_mv d801af52a3cfb625308bd4301583064e_***_Ian Cluckie
3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan
author Ian Cluckie
Yunqing Xuan
author2 D. Zhu
Y. Xuan
I. Cluckie
Ian Cluckie
Yunqing Xuan
format Journal article
container_title Hydrology and Earth System Sciences
container_volume 18
container_issue 1
container_start_page 257
publishDate 2014
institution Swansea University
doi_str_mv 10.5194/hess-18-257-2014
college_str College of Engineering
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hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
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description Radar rainfall estimates have become increasingly available for hydrological modellers over recent years, especially for flood forecasting and warning over poorly gauged catchments. However, the impact of using radar rainfall as compared with conventional raingauge inputs, with respect to various hydrological model structures, remains unclear and yet to be addressed. In the study presented by this paper, we analysed the flow simulations of the upper Medway catchment of southeast England using the UK NIMROD radar rainfall estimates, using three hydrological models based upon three very different structures (e.g. a physically based distributed MIKE SHE model, a lumped conceptual model PDM and an event-based unit hydrograph model PRTF). We focused on the sensitivity of simulations in relation to the storm types and various rainfall intensities. The uncertainty in radar rainfall estimates, scale effects and extreme rainfall were examined in order to quantify the performance of the radar. We found that radar rainfall estimates were lower than raingauge measurements in high rainfall rates; the resolutions of radar rainfall data had insignificant impact at this catchment scale in the case of evenly distributed rainfall events but was obvious otherwise for high-intensity, localised rainfall events with great spatial heterogeneity. As to hydrological model performance, the distributed model had consistent reliable and good performance on peak simulation with all the rainfall types tested in this study.
published_date 2014-01-21T03:40:52Z
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