Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Short-term rainfall nowcasting: using rainfall radar imaging

Wang, Peng and Smeaton, Alan F. and Songyang, Lao and O'Connor, Edel and Ling, Yunxiang and O'Connor, Noel E. (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.

This is the latest version of this item.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
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 Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Official URL:
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 10 Feb 2017 13:56

Available Versions of this Item

Download statistics

Archive Staff Only: edit this record