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

2021 ◽  
Vol 21 (8) ◽  
pp. 2523-2541
Author(s):  
Md. Jamal Uddin Khan ◽  
Fabien Durand ◽  
Xavier Bertin ◽  
Laurent Testut ◽  
Yann Krien ◽  
...  

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 complexity impede accurate 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 Supercyclone 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 over the Bengal delta shorelines as well as over other similar cyclone-prone regions.

2020 ◽  
Author(s):  
Md Jamal Uddin Khan ◽  
Fabien Durand ◽  
Xavier Bertin ◽  
Laurent Testut ◽  
Yann Krien ◽  
...  

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.


Author(s):  
Jason G. Fleming ◽  
Crystal W. Fulcher ◽  
Richard A. Luettich ◽  
Brett D. Estrade ◽  
Gabrielle D. Allen ◽  
...  

Author(s):  
Y. Peter. Sheng ◽  
Vladimir A. Paramygin ◽  
Vadim Alymov ◽  
Justin R. Davis

2020 ◽  
Vol 32 (6) ◽  
pp. 373-383
Author(s):  
Nary La ◽  
Byoung Woong An ◽  
KiRyong Kang ◽  
Pil-Hun Chang

2012 ◽  
Vol 16 (8) ◽  
pp. 2783-2799 ◽  
Author(s):  
P. J. Smith ◽  
K. J. Beven ◽  
A. H. Weerts ◽  
D. Leedal

Abstract. This paper considers the correction of deterministic forecasts given by a flood forecasting model. A stochastic correction based on the evolution of an adaptive, multiplicative, gain is presented. A number of models for the evolution of the gain are considered and the quality of the resulting probabilistic forecasts assessed. The techniques presented offer a computationally efficient method for providing probabilistic forecasts based on existing flood forecasting system output.


2012 ◽  
Vol 9 (1) ◽  
pp. 595-627 ◽  
Author(s):  
P. J. Smith ◽  
K. Beven ◽  
A. Weerts ◽  
D. Leedal

Abstract. This paper considers the correction of deterministic forecasts given by a flood forecasting model. A stochastic correction based on the evolution of an adaptive, multiplicative, gain is presented. A number of models for the evolution of the gain are considered and the quality of the resulting probabilistic forecasts assessed. The techniques presented offer, in certain situations, an effective and computationally efficient method for providing probabilistic forecasts based on existing flood forecasting system output.


2008 ◽  
Vol 52 ◽  
pp. 1393-1398
Author(s):  
Seiji AMOU ◽  
Susumu NAKANO ◽  
Takeshi KIMURA ◽  
Shigeru TSUGAWA

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