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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| Published in | Quarterly journal of the Royal Meteorological Society Vol. 139; no. 671; pp. 358 - 369 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Chichester, UK
John Wiley & Sons, Ltd
01.01.2013
Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
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| Abstract | 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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| AbstractList | Abstract
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 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 [PUBLICATION ABSTRACT] 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. 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 |
| Author | Horsburgh, Kevin Lewis, Matt Bates, Paul Schumann, Guy Neal, Jeff |
| Author_xml | – sequence: 1 givenname: Matt surname: Lewis fullname: Lewis, Matt email: matwis@noc.ac.uk – sequence: 2 givenname: Paul surname: Bates fullname: Bates, Paul – sequence: 3 givenname: Kevin surname: Horsburgh fullname: Horsburgh, Kevin – sequence: 4 givenname: Jeff surname: Neal fullname: Neal, Jeff – sequence: 5 givenname: Guy surname: Schumann fullname: Schumann, Guy |
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| Snippet | A computationally inexpensive inundation model has been developed from freely available data sources for the northern Bay of Bengal region to estimate flood... Abstract A computationally inexpensive inundation model has been developed from freely available data sources for the northern Bay of Bengal region to estimate... |
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| SubjectTerms | Bay of Bengal Brackish Coastal cyclone Sidr Cyclones Floods IIT‐D Inundation Mathematical models SRTM storm surge Storm surges Uncertainty |
| Title | A storm surge inundation model of the northern Bay of Bengal using publicly available data |
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