Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 21, issue 8
Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2523-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-2523-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 8
Research article
 | 
25 Aug 2021
Research article |  | 25 Aug 2021

Towards an efficient storm surge and inundation forecasting system over the Bengal delta: chasing the Supercyclone Amphan

Md. Jamal Uddin Khan, Fabien Durand, Xavier Bertin, Laurent Testut, Yann Krien, A. K. M. Saiful Islam, Marc Pezerat, and Sazzad Hossain

Viewed

Total article views: 4,131 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,782 1,264 85 4,131 201 92 115
  • HTML: 2,782
  • PDF: 1,264
  • XML: 85
  • Total: 4,131
  • Supplement: 201
  • BibTeX: 92
  • EndNote: 115
Views and downloads (calculated since 30 Oct 2020)
Cumulative views and downloads (calculated since 30 Oct 2020)

Viewed (geographical distribution)

Total article views: 4,131 (including HTML, PDF, and XML) Thereof 3,834 with geography defined and 297 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Nov 2025
Download
Short summary
The Bay of Bengal is well known for some of the deadliest cyclones in history. At the same time, storm surge forecasting in this region is physically involved and computationally costly. Here we show a proof of concept of a real-time, computationally efficient, and physically consistent forecasting system with an application to the recent Supercyclone Amphan. While challenges remain, our study paves the path forward to the improvement of the quality of localized forecast and disaster management.
Read more
Share
Altmetrics
Final-revised paper
Preprint