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Estimating present day extreme water level exceedance probabilities around the coastline of Australia: tropical cyclone-induced storm surges and mean sea level

Estimating present day extreme water level exceedance probabilities around the coastline of Australia: tropical cyclone-induced storm surges and mean sea level
Estimating present day extreme water level exceedance probabilities around the coastline of Australia: tropical cyclone-induced storm surges and mean sea level
The occurrence of extreme water levels along low-lying, highly populated and/or developed coastlines can lead to considerable loss of life and billions of dollars of damage to coastal infrastructure. Therefore it is vitally important that the exceedance probabilities of extreme water levels are accurately evaluated to inform risk-based flood management, engineering and future land-use planning. This ensures the risk of catastrophic structural failures due to under-design or expensive wastes due to over-design are minimised. This paper estimates for the first time present day extreme water level exceedence probabilities around the whole coastline of Australia. A high-resolution depth averaged hydrodynamic model has been configured for the Australian continental shelf region and has been forced with tidal levels from a global tidal model and meteorological fields from a global reanalysis to generate a 61-year hindcast of water levels. Output from this model has been successfully validated against measurements from 30 tide gauge sites. At each numeric coastal grid point, extreme value distributions have been fitted to the derived time series of annual maxima and the several largest water levels each year to estimate exceedence probabilities. This provides a reliable estimate of water level probabilities around southern Australia; a region mainly impacted by extra-tropical cyclones. However, as the meteorological forcing used only weakly includes the effects of tropical cyclones, extreme water level probabilities are underestimated around the western, northern and north-eastern Australian coastline. In a companion paper we build on the work presented here and more accurately include tropical cyclone-induced surges in the estimation of extreme water level. The multi-decadal hindcast generated here has been used primarily to estimate extreme water level exceedance probabilities but could be used more widely in the future for a variety of other research and practical applications.
extreme water levels, storm surges, tides, extra-tropical cyclones, tropical cyclones, hurricanes, return levels, return periods, australia
0930-7575
121-138
Haigh, Ivan D.
945ff20a-589c-47b7-b06f-61804367eb2d
MacPherson, Leigh R.
2fdfb345-b66f-46bb-beef-40d36156428e
Mason, Matthew S.
d130dcec-eaca-4362-801c-fd8e70613470
Wijeratne, E.M.S.
035f96b5-7d1e-47fb-869e-1552001c19f5
Pattiaratchi, Charitha B.
393dcddd-f9fa-4e41-ac74-1116a8c5ad88
Crompton, Ryan P.
7c8e67a0-53d6-4e08-90bc-c3d151c19453
George, Steve
500f095d-093b-400b-b290-1125cf59b026
Haigh, Ivan D.
945ff20a-589c-47b7-b06f-61804367eb2d
MacPherson, Leigh R.
2fdfb345-b66f-46bb-beef-40d36156428e
Mason, Matthew S.
d130dcec-eaca-4362-801c-fd8e70613470
Wijeratne, E.M.S.
035f96b5-7d1e-47fb-869e-1552001c19f5
Pattiaratchi, Charitha B.
393dcddd-f9fa-4e41-ac74-1116a8c5ad88
Crompton, Ryan P.
7c8e67a0-53d6-4e08-90bc-c3d151c19453
George, Steve
500f095d-093b-400b-b290-1125cf59b026

Haigh, Ivan D., MacPherson, Leigh R., Mason, Matthew S., Wijeratne, E.M.S., Pattiaratchi, Charitha B., Crompton, Ryan P. and George, Steve (2014) Estimating present day extreme water level exceedance probabilities around the coastline of Australia: tropical cyclone-induced storm surges and mean sea level. Climate Dynamics, 42 (1-2), 121-138. (doi:10.1007/s00382-012-1652-1).

Record type: Article

Abstract

The occurrence of extreme water levels along low-lying, highly populated and/or developed coastlines can lead to considerable loss of life and billions of dollars of damage to coastal infrastructure. Therefore it is vitally important that the exceedance probabilities of extreme water levels are accurately evaluated to inform risk-based flood management, engineering and future land-use planning. This ensures the risk of catastrophic structural failures due to under-design or expensive wastes due to over-design are minimised. This paper estimates for the first time present day extreme water level exceedence probabilities around the whole coastline of Australia. A high-resolution depth averaged hydrodynamic model has been configured for the Australian continental shelf region and has been forced with tidal levels from a global tidal model and meteorological fields from a global reanalysis to generate a 61-year hindcast of water levels. Output from this model has been successfully validated against measurements from 30 tide gauge sites. At each numeric coastal grid point, extreme value distributions have been fitted to the derived time series of annual maxima and the several largest water levels each year to estimate exceedence probabilities. This provides a reliable estimate of water level probabilities around southern Australia; a region mainly impacted by extra-tropical cyclones. However, as the meteorological forcing used only weakly includes the effects of tropical cyclones, extreme water level probabilities are underestimated around the western, northern and north-eastern Australian coastline. In a companion paper we build on the work presented here and more accurately include tropical cyclone-induced surges in the estimation of extreme water level. The multi-decadal hindcast generated here has been used primarily to estimate extreme water level exceedance probabilities but could be used more widely in the future for a variety of other research and practical applications.

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More information

e-pub ahead of print date: 12 January 2013
Published date: January 2014
Keywords: extreme water levels, storm surges, tides, extra-tropical cyclones, tropical cyclones, hurricanes, return levels, return periods, australia
Organisations: Physical Oceanography

Identifiers

Local EPrints ID: 350400
URI: http://eprints.soton.ac.uk/id/eprint/350400
ISSN: 0930-7575
PURE UUID: 1cd42dbb-244a-4bd0-9682-b785d1c5afbf
ORCID for Ivan D. Haigh: ORCID iD orcid.org/0000-0002-9722-3061

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Date deposited: 25 Mar 2013 11:31
Last modified: 15 Mar 2024 03:26

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Contributors

Author: Ivan D. Haigh ORCID iD
Author: Leigh R. MacPherson
Author: Matthew S. Mason
Author: E.M.S. Wijeratne
Author: Charitha B. Pattiaratchi
Author: Ryan P. Crompton
Author: Steve George

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