A storm surge inundation model of the northern Bay of Bengal using publicly available data

A computationally inexpensive inundation model has been developed from freely available data sources for the northern Bay of Bengal region to estimate flood risk from storm surges. This is the first time Shuttle Radar Topography Mission (SRTM) terrain data have been used in a dynamic coastal inundat...

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Bibliographic Details
Published inQuarterly journal of the Royal Meteorological Society Vol. 139; no. 671; pp. 358 - 369
Main Authors Lewis, Matt, Bates, Paul, Horsburgh, Kevin, Neal, Jeff, Schumann, Guy
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 01.01.2013
Wiley Subscription Services, Inc
Subjects
Bay of Bengal
Brackish
Coastal
cyclone Sidr
Cyclones
Floods
IIT‐D
Inundation
Mathematical models
SRTM
storm surge
Storm surges
Uncertainty
ISW, Bangladesh, Bengal Bay
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Summary:A computationally inexpensive inundation model has been developed from freely available data sources for the northern Bay of Bengal region to estimate flood risk from storm surges. This is the first time Shuttle Radar Topography Mission (SRTM) terrain data have been used in a dynamic coastal inundation model. To reduce SRTM noise, and the impact of vegetation artefacts on the ground elevation, the SRTM data were up‐scaled from their native 90 m resolution to 900 m. A sub‐grid routine allowed estuary channels with widths less than this resolution to be simulated efficiently, and allowed six major river flows to be represented. The inundation model was forced with an IIT‐D model hindcast of the 2007 cyclone Sidr flood event, using parameters from two cyclone databases (IBTrACs and UNISYS). Validation showed inundation prediction accuracy with a root mean squared error (RMSE) on predicted water level of ∼ 2 m, which was of the same order of magnitude as the forcing water‐level uncertainties. Therefore, SRTM and other publicly available data can be useful for coastal flood risk management in data‐poor regions, although the associated uncertainty needs to be expressed to end users. Better SRTM processing techniques may improve inundation model performance, and future work should also seek to improve storm tide uncertainties in this region. Copyright © 2012 Royal Meteorological Society
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ISSN:0035-9009
1477-870X
DOI:10.1002/qj.2040