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

机译:在孟加拉三角洲的高效风暴浪涌和淹没预测系统:追逐超级周刊amphan

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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.
机译:孟加拉湾是历史上一些最致命的旋风的繁殖基础。尽管最近的进步,但这种大三角洲的复杂形态和流体动力学和相关的建模复杂性妨碍了这种高度脆弱地区的精确风暴浪涌预测。在这里,我们展示了一种物理上一致和计算高效的风暴浪涌预测系统的概念证明,实时具有有限的资源。通过最先进的波浪耦合的流体动力学数值建模系统,我们预测最近的超级周刊amphan实时。从可用的观察中,我们评估了我们建模框架的质量。我们肯定了沿着这种活跃和复杂的沿海地区沿着高效,实时激增和淹没预测所需的关键成分的证据。本文展示了我们运营实施框架成熟的证据,这可以特别提高本地化预测的质量,以便在孟加拉达雷达山脉以及其他类似的旋风静态地区的有效决策。

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