Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/113877
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Type: Journal article
Title: Mapping dependence between extreme rainfall and storm surge
Author: Wu, W.
Mcinnes, K.
O'grady, J.
Hoeke, R.
Leonard, M.
Westra, S.
Citation: Journal of Geophysical Research: Oceans, 2018; 123(4):2461-2474
Publisher: American Geophysical Union
Issue Date: 2018
ISSN: 2169-9275
2169-9291
Statement of
Responsibility: 
Wenyan Wu, Kathleen McInnes, Julian O'Grady, Ron Hoeke, Michael Leonard, and Seth Westra
Abstract: Dependence between extreme storm surge and rainfall can have significant implications for flood risk in coastal and estuarine regions. To supplement limited observational records, we use reanalysis surge data from a hydrodynamic model as the basis for dependence mapping, providing information at a resolution of approximately 30 km along the Australian coastline. We evaluated this approach by comparing the dependence estimates from modeled surge to that calculated using historical surge records from 79 tide gauges around Australia. The results show reasonable agreement between the two sets of dependence values, with the exception of lower seasonal variation in the modeled dependence values compared to the observed data, especially at locations where there are multiple processes driving extreme storm surge. This is due to the combined impact of local bathymetry as well as the resolution of the hydrodynamic model and its meteorological inputs. Meteorological drivers were also investigated for different combinations of extreme rainfall and surge-namely rain‐only, surge‐only, and coincident extremes-finding that different synoptic patterns are responsible for each combination. The ability to supplement observational records with high‐resolution modeled surge data enables a much more precise quantification of dependence along the coastline, strengthening the physical basis for assessments of flood risk in coastal regions.
Description: Published online 6 APR 2018
Rights: © 2018. American Geophysical Union. All Rights Reserved.
RMID: 0030085972
DOI: 10.1002/2017JC013472
Grant ID: http://purl.org/au-research/grants/arc/LP150100359
Appears in Collections:Civil and Environmental Engineering publications

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