30 Oct 2020
30 Oct 2020
Towards an efficient storm surge and inundation forecasting system over the Bengal delta: Chasing the super-cyclone Amphan
- 1LEGOS UMR5566, CNRS/CNES/IRD/UPS, 31400 Toulouse, France
- 2Laboratório de Geoquímica, Instituto de Geociencias, Universidade de Brasilia, Brazil
- 3UMR 7266 LIENSs, CNRS- La Rochelle University, 17000 La Rochelle, France
- 4IWFM, BUET, Dhaka 1000, Bangladesh
- 5Flood Forecasting and Warning Centre, BWDB, Dhaka, Bangladesh
- 6Department of Geography and Environmental Science, University of Reading, UK
- 1LEGOS UMR5566, CNRS/CNES/IRD/UPS, 31400 Toulouse, France
- 2Laboratório de Geoquímica, Instituto de Geociencias, Universidade de Brasilia, Brazil
- 3UMR 7266 LIENSs, CNRS- La Rochelle University, 17000 La Rochelle, France
- 4IWFM, BUET, Dhaka 1000, Bangladesh
- 5Flood Forecasting and Warning Centre, BWDB, Dhaka, Bangladesh
- 6Department of Geography and Environmental Science, University of Reading, UK
Abstract. The Bay of Bengal is a well-known breeding ground to some of the deadliest cyclones in history. Despite recent advancements, the complex morphology and hydrodynamics of this large delta and the associated modelling computational costs impede the storm surge forecasting in this highly vulnerable region. Here we present a proof of concept of a physically consistent and computationally efficient storm surge forecasting system tractable in real-time with limited resources. With a state-of-the-art wave-coupled hydrodynamic numerical modelling system, we forecast the recent super cyclone Amphan in real-time. From the available observations, we assessed the quality of our modelling framework. We affirmed the evidence of the key ingredients needed for an efficient, real-time surge and inundation forecast along this active and complex coastal region. This article shows the proof of the maturity of our framework for operational implementation, which can particularly improve the quality of localized forecast for effective decision-making.
Md Jamal Uddin Khan et al.
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RC1: 'Comments', Anonymous Referee #1, 19 Nov 2020
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AC1: 'Reply on RC1', Md Jamal Uddin Khan, 02 Feb 2021
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AC1: 'Reply on RC1', Md Jamal Uddin Khan, 02 Feb 2021
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RC2: 'The proposed strategy, although apparently customized to this site, is interesting and worth publishing', Anonymous Referee #2, 07 Dec 2020
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AC2: 'Reply on RC2', Md Jamal Uddin Khan, 02 Feb 2021
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AC2: 'Reply on RC2', Md Jamal Uddin Khan, 02 Feb 2021
Md Jamal Uddin Khan et al.
Data sets
Digitized flood location dataset during cyclone Amphan from newspaper survey Md Jamal Uddin Khan https://doi.org/10.5281/zenodo.4086102
Md Jamal Uddin Khan et al.
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