A coupled hydrodynamic modeling system for PHAILIN cyclone in the Bay of Bengal

Murty, P.L.N.; Sandhya, K. G.; Bhaskaran, Prasad K.; Jose, Felix; Gayathri, R.; Nair, T. M. Balakrishnan; Kumar, T. Srinivasa; Shenoi, S. S. C.

doi:10.1016/j.coastaleng.2014.08.006

Cited by 103 publications

(36 citation statements)

References 34 publications

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“…The latest reported studies on storm-surge research have utilized models like ADCIRC, FVCOM and CH3D-SSMS, which can be constrained using coastal geomorphologic features and the land use/land cover for additional friction. These advanced models adopted coupled model architecture for 19 ).…”

Section: Discussionmentioning

confidence: 99%

“…Using these actual and theoretical tracks, seven synthesized generated tracks provided a comprehensive geographical coverage of the coastal areas of Tamil Nadu. Based on the simulations using synthetic tracks, the authors concluded that Kalpakkam region is vulnerable to inland inundation that may cause significant damage to local development, if the cyclone-generated surges are more than 3.5 m. The Figures 3 a and b shows the respective spatial distribution of storm surge for Phailin cyclone using uncoupled (ADCIRC standalone) and coupled (ADCIRC + SWAN) model runs 19 . As seen from the figure, the storm surge affects vast stretches along Odisha coast with extreme water levels exceeding 1.5 m, with peak surge development in close vicinity of Ganjam, Odisha.…”

Section: Progress In Inundation Modelling For the Indian Subcontinentmentioning

confidence: 99%

“…Mahasen, Phailin, Helen, Lehar and Madi, formed over the Bay of Bengal. The Phailin cyclone 19 prompted India's biggest coastal evacuation efforts in the past 23 years, displacing more than 550,000 people from the coasts of Odisha and Andhra Pradesh to safer locations. The same storm took away 45 lives along its destructive trail and the total estimated damage was more than 696 million USD.…”

Section: Progress In Inundation Modelling For the Indian Subcontinentmentioning

confidence: 99%

“…14 for more details. The recent studies on storm surge modelling and coastal flooding for the east coast of India include a coupled hydrodynamic modelling system for very severe cyclones such as Phailin 19,20 , Thane 21,22 , Aila 23 . Compared to storm-surge events, the extent of flooding and destruction is extremely higher for tsunami events.…”

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confidence: 99%

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Coastal Inundation Research:An overview of the Process

2017

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Coastal inundation is the flooding of coastal zone resulting from increased river discharge, spring tides, severe storms, or generation of powerful waves from tectonic activity (tsunami). This article discusses the critical factors that contribute to coastal inundation. Among the probable factors that cause coastal flooding and destruction, storm surge is the most frequent, and hence this article provides a detailed evaluation of the progress made in storm inundation research. Recent advances in coastal inundation modelling include efforts to understand the nonlinear dynamic interaction of near-shore waves, wind and atmospheric pressure with still water sea level and coastal currents, and their combined effects on storm surge along the coast and interaction with coastal morphology. An advanced storm-surge model comprises different modules, viz. an atmospheric component, and two ocean components for surge and wave simulations; these modules are coupled with each other. The nesting of regional coastal model with an ocean-wide model captures the far-field boundary forcing of extreme events that usually originate from the warm open ocean. Even though significant advancements reported on the efficiency and accuracy of storm surge and inundation prediction, further studies are required to understand the nonlinear interaction of storm surge with coastal landforms and their vegetation (land cover). In the context of rising sea level, increased tropical cyclone activity and rapid shoreline change, it is pertinent to evaluate the future flooding risk associated with landfall of tropical cyclones in densely populated coastal cities.

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Section: Discussionmentioning

confidence: 99%

Section: Progress In Inundation Modelling For the Indian Subcontinentmentioning

confidence: 99%

Section: Progress In Inundation Modelling For the Indian Subcontinentmentioning

confidence: 99%

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Coastal Inundation Research:An overview of the Process

2017

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“…Although datasets from reanalysis projects (Semedo et al, 2010) and models (Sabique et al, 2012;Bhaskaran et al, 2014;Murty et al, 2014) are increasingly common, in situ observations (Rapizo et al, 2015) remain the most important reflections of the "true" ocean and atmosphere state. Therefore, most major developments in the marine and atmospheric sciences have been closely related to the development of in situ observations.…”

Section: Background and Summarymentioning

confidence: 99%

Wind and wave dataset for Matara, Sri Lanka

Luo

Wang

Gamage

et al. 2018

Earth Syst. Sci. Data

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Abstract. We present a continuous in situ hydro-meteorology observational dataset from a set of instruments first deployed in December 2012 in the south of Sri Lanka, facing toward the north Indian Ocean. In these waters, simultaneous records of wind and wave data are sparse due to difficulties in deploying measurement instruments, although the area hosts one of the busiest shipping lanes in the world. This study describes the survey, deployment, and measurements of wind and waves, with the aim of offering future users of the dataset the most comprehensive and as much information as possible. This dataset advances our understanding of the nearshore hydrodynamic processes and wave climate, including sea waves and swells, in the north Indian Ocean. Moreover, it is a valuable resource for ocean model parameterization and validation. The archived dataset (Table 1) is examined in detail, including wave data at two locations with water depths of 20 and 10 m comprising synchronous time series of wind, ocean astronomical tide, air pressure, etc. In addition, we use these wave observations to evaluate the ERA-Interim reanalysis product. Based on Buoy 2 data, the swells are the main component of waves year-round, although monsoons can markedly alter the proportion between swell and wind sea. The dataset (Luo et al., 2017) is publicly available from Science Data Bank (https://doi.org/10.11922/sciencedb.447).

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A review of tropical cyclone‐generated storm surges: Global data sources, observations, and impacts

Needham

Keim

Sathiaraj

2015

Reviews of Geophysics

240

115

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Tropical cyclone-generated storm surges are among the world's most deadly and destructive natural hazards. This paper provides the first comprehensive global review of tropical storm surge data sources, observations, and impacts while archiving data in SURGEDAT, a global database. Available literature has provided data for more than 700 surge events since 1880, the majority of which are found in the western North Atlantic (WNA), followed by Australia/Oceania, the western North Pacific (WNP), and the northern Indian Ocean (NIO). The Bay of Bengal (BOB) in the NIO consistently observes the world's highest surges, as this subbasin averages five surges ≥5 m per decade and has observed credible storm tide levels reaching 13.7 m. The WNP observes the highest rate of low-magnitude surges, as the coast of China averages 54 surges ≥1 m per decade, and rates are likely higher in the Philippines. The U.S. Gulf Coast observes the second highest frequency of both high-magnitude (≥5 m) and low-magnitude (≥1 m) surges. The BOB observes the most catastrophic surge impacts, as 59% of global tropical cyclones that have killed at least 5000 people occurred in this basin. The six deadliest cyclones in this region have each killed at least 140,000 people, and two events have killed 300,000. Storm surge impacts transportation, agriculture, and energy sectors in the WNA. Oceania experiences long-term impacts, including contamination of fresh water and loss of food supplies, although the highest surges in this region are lower than most other basins.

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A coupled hydrodynamic modeling system for PHAILIN cyclone in the Bay of Bengal

Cited by 103 publications

References 34 publications

Coastal Inundation Research:An overview of the Process

Coastal Inundation Research:An overview of the Process

Wind and wave dataset for Matara, Sri Lanka

A review of tropical cyclone‐generated storm surges: Global data sources, observations, and impacts

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