Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/92612
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Type: Conference paper
Title: Spatial variability of stochastically generated rainfall
Author: Leonard, M.
Lambert, M.
Citation: Proceedings, World Environmental and Water Resources Congress 2012: Crossing Boundaries, Proceedings of the 2012 Congress, 2012 / Loucks, E. (ed./s), pp.1993-2002
Publisher: ASCE
Issue Date: 2012
ISBN: 9780784412312
Conference Name: World Environmental and Water Resources Congress 2012 (20 May 2012 - 24 May 2012 : Albuquerque, New Mexico)
Statement of
Responsibility: 
M. Leonard and M. Lambert
Abstract: The spatial variability of rainfall is a significant source of error when estimating runoff as part of any rainfall based flood design method. While there are numerous stochastic rainfall models that simulate point rainfall, there is still some way to go with reliable simulation of spatial variability. To highlight this point, the spatial properties of a clustered point process model are investigated. The model is compared to an existing daily coarse-scale (0.05° ~5km) grid covering the region of Sydney and significant differences between the two are shown. The proposed remedy for these limitations is to separate the stochastic model's role of reproducing multisite statistics from the role of spatial infilling. This observation will enable a more flexible approach to generating accurate spatial rainfall distributions that match empirical data.
Rights: © 2012 American Society of Civil Engineers
RMID: 0030011894
DOI: 10.1061/9780784412312.200
Appears in Collections:Civil and Environmental Engineering publications

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