Storm surge simulation along the Meghna estuarine area: an alternative approach

Paul, Gour Chandra; Senthilkumar, S.; Pria, Rana

doi:10.1007/s13131-018-1157-9

Cited by 11 publications

(10 citation statements)

References 17 publications

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“…As in Lotkin [28], with the intention of controlling the error, the selection of the step size can be made, which leads to [24] 6457 184320 P 4 Qh 5 < TOL; or h < 28:54764 Â TOL…”

Section: Derivation Of Local Truncation Error For Rkarms(44) Algorithmmentioning

confidence: 99%

“…The difference of the field values obtained by the techniques makes available an ERREST for the leading technique. Recently, Paul et al [24] used that RKARMS(4,4) technique to solve vertically integrated shallow water equations (SWEs) intended for numerical foreseeing of surge levels preciously along the coast of Bangladesh, where they found the method to be efficient in computing surge levels accompanying with a cyclonic storm. In exploring initial profiles of protoplanets formed via disk instability, Paul and Senthilkumar [25] used this method.…”

Section: Introductionmentioning

confidence: 99%

“…To solve effectively Eq. (11), a RK embedded technique can be of help[24,25]. A general s-stage RK pair can be described by way of the extended Butcher tableau of parameters presented in Table 1.In the aboveTable 1, b T , b b…”

mentioning

confidence: 99%

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On the implementation of novel RKARMS(4,4) algorithm to study the structures of initial extrasolar giant protoplanets

Paul

Senthilkumar

Rahman

2020

Heliyon

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The main motivation and novel notion of this present communication is to implement the recently suggested fourth order with four stages embedded RKARMS(4,4) algorithm to examine its efficiency in reinvesting the structures of extrasolar protoplanets formed via disk instability which being presented in Paul et al. [1] (G.C. Paul, M.M. Rahman, D. Kumar, M.C. Barman, the radius spectrum of solid grains settling in gaseous giant protoplanets, Earth Sci. Inform. 6 (2013) 137-144) for the case of convective heat transfer using classical Runge-Kutta (RK) technique of order four. The results by the RKARMS(4,4) algorithm compared well with those obtained by the classical RK method of order four for any time length and found to be more suitable.

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“…As in Lotkin [28], with the intention of controlling the error, the selection of the step size can be made, which leads to [24] 6457 184320 P 4 Qh 5 < TOL; or h < 28:54764 Â TOL…”

Section: Derivation Of Local Truncation Error For Rkarms(44) Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the implementation of novel RKARMS(4,4) algorithm to study the structures of initial extrasolar giant protoplanets

Paul

Senthilkumar

Rahman

2020

Heliyon

Self Cite

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“…Many studies have been conducted on the prediction of the surges due to tropical storms for the Bay of Bengal region covering the coast of Bangladesh and the east coast of India, see, e.g., [2][3][4][8][9][10][11][12][13][14][15]. Almost all of the studies mentioned here have employed a radiation type boundary condition for the boundaries in the open sea, which is very similar to the transmission boundary condition used in [6].…”

Section: Introductionmentioning

confidence: 99%

Theoretical and numerical studies for energy estimates of the shallow water equations with a transmission boundary condition

Murshed¹,

Futai²,

Kimura³

et al. 2021

Discrete &Amp; Continuous Dynamical Systems - S

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Energy estimates of the shallow water equations (SWEs) with a transmission boundary condition are studied theoretically and numerically. In the theoretical part, using a suitable energy, we begin with deriving an equality which implies an energy estimate of the SWEs with the Dirichlet and the slip boundary conditions. For the SWEs with a transmission boundary condition, an inequality for the energy estimate is proved under some assumptions to be satisfied in practical computation. Hence, it is recognized that the transmission boundary condition is reasonable in the sense that the inequality holds true. In the numerical part, based on the theoretical results, the energy estimate of the SWEs with a transmission boundary condition is confirmed numerically by a finite difference method (FDM). The choice of a positive constant c0 used in the transmission boundary condition is investigated additionally. Furthermore, we present numerical results by a Lagrange-Galerkin scheme, which are similar to those by the FDM. From the numerical results, it is found that the transmission boundary condition works well numerically.

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“…Mallik et al (2015) used the Meteorological Research Institute (MRI) model to simulate the storm surge of Cyclone Viyaru as part of their research on the cyclone Viyaru. Paul et al (2018) transformed the vertically integrated shallow water Corresponding author: Quazi Aseer Faisal Email: quaziaseer-2nd-2018510805@met.du.ac.bd DOI: https://doi.org/10.3329/dujees.v9i1.54859 equations (SWEs) in Cartesian coordinates into ordinary differential equations (ODEs) of initial valued, which were then solved using the new RKARMS (4, 4) method to simulate storm surge. Ali et al (2018) studied the storm surge event of cyclone Aila by simulating data from WRF model for cyclone Aila and used the output data to simulate the storm surge for cyclone Aila.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Storm Surges in Bangladesh Using NWP Models

Faisal

Rashid

Hossain

et al. 2021

Dhaka Univ J Earth Env Sci

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Tropical cyclone causes enormous damage of property and life in the coastal regions of Bangladesh. Majority of the damage during tropical cyclone occurs because of storm surge. Bangladesh is vulnerable to storm surge flooding due to its complex geometry and location. The huge loss of property and life can be reduced by predicting storm surge during a tropical cyclone. So, an attempt has been made in this study to see the effectiveness of predicting storm surge by Meteorological Research Institute (MRI) storm surge model from Japan Meteorological Agency (JMA). In this study, MRI storm surge model is used to simulate storm surge of five cyclones cyclone Bulbul (November 2019), cyclone Fani (May 2019), cyclone Mora (May 2017), cyclone Roanu (May 2016) and cyclone Komen (July 2015) were simulated using MRI storm surge model to see the effectiveness of the model. The model was run for 48-hours for two different data sets which are, European Centre for Medium-Range Weather Forecasts (ECMWF) data and Global Spectral Model (GSM) data. Simulated storm surge heights found from the model are compared with the reported surge height from Bangladesh Inland Water Transport Authority (BIWTA) and Bangladesh Meteorological Department (BMD). The model is able to simulate storm surge height, mean sea level pressure (MSLP) and wind data of all the selected cases. The time series graph developed using python comparing the simulated results of storm surge height data with observed data for the event cyclone Bulbul showed the simulated data of both NWP datasets were in line with the observed data. And comparison of the maximum storm surge height for all five events shows simulated data for both the data sets were close to the reported data and the difference was well within the margin of error. The results indicate MRI model as a useful tool for storm surge forecasting The Dhaka University Journal of Earth and Environmental Sciences, Vol. 9(1), 2020, P 31-38

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Storm surge simulation along the Meghna estuarine area: an alternative approach

Cited by 11 publications

References 17 publications

On the implementation of novel RKARMS(4,4) algorithm to study the structures of initial extrasolar giant protoplanets

On the implementation of novel RKARMS(4,4) algorithm to study the structures of initial extrasolar giant protoplanets

Theoretical and numerical studies for energy estimates of the shallow water equations with a transmission boundary condition

Simulation of Storm Surges in Bangladesh Using NWP Models

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