Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/35904
Type: Conference paper
Title: Statistical characteristics of rainstorms derived from weather radar images
Author: Qin, J.
Leonard, M.
Kuczera, G.
Thyer, M.
Lambert, M.
Metcalfe, A.
Citation: 30th Hydrology & Water Resources Symposium [electronic resource] : past, present & future, Hotel Grand Chancellor, Launceston, 4-7 December 2006: CD-ROM [6] p.
Publisher: Conference Design Pty Ltd
Publisher Place: CDROM
Issue Date: 2006
ISBN: 0858257904
9780858257900
Conference Name: Hydrology and Water Resources Symposium (30th : 2006 : Launceston, Tas.)
Editor: Geoff Brayford
Statement of
Responsibility: 
Juan Qin, Michael Leonard, George Kuczera, Mark Thyer, Andrew Metcalfe, Martin Lambert
Abstract: The hydrologic response of urban catchments is sensitive to small scale space-time rainfall variations. A stochastic rainfall model must reproduce important statistics at these scales. Using an extensive database of weather radar images for the Sydney region, a detailed study of the variation of important statistics within and between storms is undertaken. The statistics include wet area ratio, correlation length scales, and transformation parameters to render the rainfield approximately Gaussian. It was found that large variation occurred within and between storms and that uni- and bivariate AR(1) models could adequately describe within-storm variation. The results suggest that key statistics describing the stochastic evolution of rainfields at 10-minute, 1 km2resolution exhibit strong time dependence. This has significant implications for the development of stochastic rainfall models at this scale.
Description (link): http://www.cdesign.com.au/hydrology2006/pages/program_291106.pdf
Appears in Collections:Aurora harvest 6
Civil and Environmental Engineering publications
Environment Institute publications

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