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Short-term rainfall nowcasting: using rainfall radar imaging

Wang, Peng, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, Songyang, Lao, O'Connor, Edel, Ling, Yunxiang and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2009) Short-term rainfall nowcasting: using rainfall radar imaging. In: Eurographics Ireland 2009: The 9th Irish Workshop on Computer Graphics, 11 December 2009, Dublin, Ireland.

Abstract
As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis can be a very useful focus for research into developing methods for rainfall prediction. Because radar can estimate rainfall distribution over a wide range, it is thus very attractive for weather prediction over a large area. Short lead time rainfall prediction is often needed in meteorological and hydrological applications where accurate prediction of rainfall can help with flood relief, with agriculture and with event planning. A system of short-term rainfall prediction over Ireland using rainfall radar image processing is presented in this paper. As the only input, consecutive rainfall radar images are processed to predict the development of rainfall by means of morphological methods and movement extrapolation. The results of a series of experimental evaluations demonstrate the ability and efficiency of using our rainfall radar imaging in a nowcasting system.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:alan.smeaton@dcu.ie
Uncontrolled Keywords:rainfall and weather;
Subjects:Computer Science > Artificial intelligence
Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
Official URL:http://gv2.cs.tcd.ie/egirl09/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15029
Deposited On:21 Dec 2009 13:57 by Alan Smeaton . Last Modified 02 Nov 2018 15:10
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