Desmond Manful
Senior Research Associate
Selected Publications
Other
Selected Publications
Other
2012
Bao, HJ; Zhao, LN; He, Y; Li, ZJ; Wetterhall, F; Cloke, H; Pappenberger, F; Manful, D; Wang, LL
Coupling Ensemble weather predictions based on TIGGE database with Grid-Xinanjiang model for flood forecast Journal Article
In: Advances in Geosciences, vol. 29, pp. 61-67, 2012, ISBN: 16807340.
@article{456,
title = {Coupling Ensemble weather predictions based on TIGGE database with Grid-Xinanjiang model for flood forecast},
author = {HJ Bao and LN Zhao and Y He and ZJ Li and F Wetterhall and H Cloke and F Pappenberger and D Manful and LL Wang},
isbn = {16807340},
year = {2012},
date = {2012-01-01},
journal = {Advances in Geosciences},
volume = {29},
pages = {61-67},
chapter = {61},
abstract = {<p>The incorporation of numerical weather predictions (NWP) into a flood forecasting system can increase forecast lead times from a few hours to a few days. A single NWP forecast from a single forecast centre, however, is insufficient as it involves considerable non-predictable uncertainties and lead to a high number of false alarms. The availability of global ensemble numerical weather prediction systems through the THORPEX Interactive Grand Global Ensemble&$#$39; (TIGGE) offers a new opportunity for flood forecast. The Grid-Xinanjiang distributed hydrological model, which is based on the Xinanjiang model theory and the topographical information of each grid cell extracted from the Digital Elevation Model (DEM), is coupled with ensemble weather predictions based on the TIGGE database (CMC, CMA, ECWMF, UKMO, NCEP) for flood forecast. This paper presents a case study using the coupled flood forecasting model on the Xixian catchment (a drainage area of 8826 km^{2}) located in Henan province, China. A probabilistic discharge is provided as the end product of flood forecast. Results show that the association of the Grid-Xinanjiang model and the TIGGE database gives a promising tool for an early warning of flood events several days ahead. © 2011 Author(s).</p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<p>The incorporation of numerical weather predictions (NWP) into a flood forecasting system can increase forecast lead times from a few hours to a few days. A single NWP forecast from a single forecast centre, however, is insufficient as it involves considerable non-predictable uncertainties and lead to a high number of false alarms. The availability of global ensemble numerical weather prediction systems through the THORPEX Interactive Grand Global Ensemble&$#$39; (TIGGE) offers a new opportunity for flood forecast. The Grid-Xinanjiang distributed hydrological model, which is based on the Xinanjiang model theory and the topographical information of each grid cell extracted from the Digital Elevation Model (DEM), is coupled with ensemble weather predictions based on the TIGGE database (CMC, CMA, ECWMF, UKMO, NCEP) for flood forecast. This paper presents a case study using the coupled flood forecasting model on the Xixian catchment (a drainage area of 8826 km2) located in Henan province, China. A probabilistic discharge is provided as the end product of flood forecast. Results show that the association of the Grid-Xinanjiang model and the TIGGE database gives a promising tool for an early warning of flood events several days ahead. © 2011 Author(s).</p>
2010
He, Y; Wetterhall, F; Bao, Hongjun; Cloke, H; Li, Zhijia; Pappenberger, F; Hu, Yuzhong; Manful, D; Huang, Yingchun
Ensemble forecasting using TIGGE for the July-September 2008 floods in the Upper Huai catchment – a case study Journal Article
In: ATMOSPHERIC SCIENCE LETTERS, vol. 11, 2010.
@article{808,
title = {Ensemble forecasting using TIGGE for the July-September 2008 floods in the Upper Huai catchment - a case study},
author = {Y He and F Wetterhall and Hongjun Bao and H Cloke and Zhijia Li and F Pappenberger and Yuzhong Hu and D Manful and Yingchun Huang},
url = {http://news.nmpi.net/documents/2008UpperHuaiFlood_ASL.pdf},
year = {2010},
date = {2010-04-01},
journal = {ATMOSPHERIC SCIENCE LETTERS},
volume = {11},
publisher = {Wiley InterScience},
chapter = {132-138},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2004
He, Y; Manful, D; Bárdossy, A; Dill-Langer, Gerhard; Ringger, Thomas; Aicher, Simon
Fuzzy Logic Based De-Noising of Ultrasound Signals from Non-Destructive Testing Journal Article
In: OTTO-GRAF-JOURNAL, vol. 15, 2004.
@article{810,
title = {Fuzzy Logic Based De-Noising of Ultrasound Signals from Non-Destructive Testing},
author = {Y He and D Manful and A Bárdossy and Gerhard Dill-Langer and Thomas Ringger and Simon Aicher},
url = {http://www.mpa.uni-stuttgart.de/publikationen/otto_graf_journal/ogj_2004/beitrag_he.pdf},
year = {2004},
date = {2004-01-01},
journal = {OTTO-GRAF-JOURNAL},
volume = {15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
He, Y; Manful, D; Bardossy, A; Dill-Langer, G; Ringger, T; Aicher, S
Fuzzy logic based de-noising of ultrasound signals from non-destructive testing Journal Article
In: Otto-Graf-Journal, vol. 15, pp. 103–119, 2004.
@article{2c6e922cea47430681cb01597f6bc5ce,
title = {Fuzzy logic based de-noising of ultrasound signals from non-destructive testing},
author = {Y He and D Manful and A Bardossy and G Dill-Langer and T Ringger and S Aicher},
year = {2004},
date = {2004-01-01},
journal = {Otto-Graf-Journal},
volume = {15},
pages = {103–119},
abstract = {The paper reports on different methods of ultrasound signal de-noising. The reduction of noise is especially important for the evaluation of ultrasound transmission measurements in highly damping materials such as wood and glued laminated timber (glulam). In order to enable a reliable identification of characteristic signal parameters (such as time-of-flight or first amplitude) the poor signal to noise ratios (SNR) of ultrasound signals have to be improved by filtering methods. Conventional methods such as multiple signals averaging are used at the expense of huge data requirement, time consuming measurement procedures and signal processing. As an alternative approach in this paper a fuzzy logic based adaptive filter is applied for de-nosing in an attempt to use a lower number of experiments, i.e. to minimize data requirements. The results are compared to those of the conventional multiple signal averaging and of a moving average filter. Preliminary results demonstrate the feasibility of the application of the fuzzy filter and clearly illustrate its advantages as well as shortcomings over the conventional approach. The presented approach is one step towards the goal of real-time nondestructive testing (NDT) inspection of glulam beams by means of ultrasound methods.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The paper reports on different methods of ultrasound signal de-noising. The reduction of noise is especially important for the evaluation of ultrasound transmission measurements in highly damping materials such as wood and glued laminated timber (glulam). In order to enable a reliable identification of characteristic signal parameters (such as time-of-flight or first amplitude) the poor signal to noise ratios (SNR) of ultrasound signals have to be improved by filtering methods. Conventional methods such as multiple signals averaging are used at the expense of huge data requirement, time consuming measurement procedures and signal processing. As an alternative approach in this paper a fuzzy logic based adaptive filter is applied for de-nosing in an attempt to use a lower number of experiments, i.e. to minimize data requirements. The results are compared to those of the conventional multiple signal averaging and of a moving average filter. Preliminary results demonstrate the feasibility of the application of the fuzzy filter and clearly illustrate its advantages as well as shortcomings over the conventional approach. The presented approach is one step towards the goal of real-time nondestructive testing (NDT) inspection of glulam beams by means of ultrasound methods.
