Comparison of storm surge/tide predictions between a 2-D operational forecast system, the regional tide/storm surge model (RTSM), and the 3-D regional ocean modeling system (ROMS)

You, Sung Hyup; Lee, Woo-Jeong; Moon, Kwang Seok

doi:10.1007/s10236-009-0256-8

Cited by 15 publications

(6 citation statements)

References 18 publications

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“…Numerous numerical models have been developed and applied to simulate hurricane/typhoon-induced storm surges [6][7][8][9][10][11][12][13][14]. Sheng et al [15] reported that the accuracy of a storm surge simulation depends on many factors including the input data (e.g., bathymetry, topography, and wind/pressure fields), the representation of important processes (e.g., flooding and drying and bottom friction), the model grid resolution, and the open boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Chen

Liu

2014

Water

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Low-lying coastal regions and their populations are at risk during storm surge events and high freshwater discharges from upriver. An integrated storm surge and flood inundation modeling system was used to simulate storm surge and inundation in the Tsengwen River basin and the adjacent coastal area in southern Taiwan. A three-dimensional hydrodynamic model with an unstructured grid was used, which was driven by the tidal elevation at the open boundaries and freshwater discharge at the upriver boundary. The model was validated against the observed water levels for three typhoon events. The simulation results for the model were in reasonable agreement with the observational data. The model was then applied to investigate the effects of a storm surge, freshwater discharge, and a storm surge combined with freshwater discharge during an extreme typhoon event. The super Typhoon Haiyan (2013) was artificially shifted to hit Taiwan: the modeling results showed that the inundation area and depth would cause severe overbank flow and coastal flooding for a 200 year return period flow. A high-resolution grid model is essential for the accurate simulation of storm surges and inundation. OPEN ACCESSWater 2014, 6 3183

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Section: Introductionmentioning

confidence: 99%

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Chen

Liu

2014

Water

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“…The fully nonlinear Finite Volume Coastal Ocean Model (FVCOM) with a high-resolution unstructured mesh was implemented to study the storm surge due to Hurricane Ike along the Texas-Louisiana coast (Rego and Li 2010). You et al (2010) compared the storm surge outputted by POM and Regional Ocean Modeling System (ROMS) by taking the cases of three typhoons that struck Korea in 2007. Several authors including Higaki and Hayashibara (2008) and Higaki et al (2009) have described the JMA (Japan Meteorological Agency) storm surge model which includes the parametric wind model (Fujita 1952) and non-hydrostatic model (Saito et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Development of tropical cyclone wind field for simulation of storm surge/sea surface height using numerical ocean model

Das

Mohanty

Indu

2015

Model. Earth Syst. Environ.

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Coupled ocean-atmospheric phenomenon such as tropical cyclones (TC's) is governed by geophysical fluid dynamics. TC associated strong wind stress transfer momentum energy to the ocean surface that acts as the prime mechanism in modulating the sea surface and in generating the storm surge. A primitive equation, Princeton ocean model (POM) with free surface, sigma (terrain-following) coordinates and realistic bottom topography is configured in Bay of Bengal (BoB) to simulate the storm surge/sea surface height (SSH) and surface currents during a super cyclone TC05B 1999. TC wind fields are developed by adopting a suitable formulation based on partial conservation of angular momentum. Modeled TC wind fields are superimposed with QuikSCAT Satellite/National Centre for Environmental Prediction (QSCAT/NCEP) blended ocean surface winds to drive the three-dimensional ocean model. Model simulated storm surge and SSH are compared with limited available surge estimates/observations and multi-satellite observed AVISO (Archive, Validation and Interpolation of Satellite Oceanography) SSH, respectively to evaluate its performance.

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“…Rego and Li (2010) studied the storm surge of Hurricane Ike along the Texas-Louisiana coast using the fully nonlinear Finite Volume Coastal Ocean Model (FV-COM) with a high-resolution unstructured mesh. You et al (2010) compared simulated storm surges using the twodimensional operational storm surge/tide forecast system (region tide/storm surge model, RTSM, which is based on the Princeton Ocean Model), and the three-dimensional regional ocean modeling system (ROMS) using the observed data from 30 coastal tidal stations from three typhoons that struck Korea in 2007.…”

Section: Introductionmentioning

confidence: 99%

Predicting typhoon-induced storm surge tide with a two-dimensional hydrodynamic model and artificial neural network model

Chen

Liu

Hsu

2012

Nat. Hazards Earth Syst. Sci.

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Abstract. Precise predictions of storm surges during typhoon events have the necessity for disaster prevention in coastal seas. This paper explores an artificial neural network (ANN) model, including the back propagation neural network (BPNN) and adaptive neuro-fuzzy inference system (ANFIS) algorithms used to correct poor calculations with a two-dimensional hydrodynamic model in predicting storm surge height during typhoon events. The two-dimensional model has a fine horizontal resolution and considers the interaction between storm surges and astronomical tides, which can be applied for describing the complicated physical properties of storm surges along the east coast of Taiwan. The model is driven by the tidal elevation at the open boundaries using a global ocean tidal model and is forced by the meteorological conditions using a cyclone model. The simulated results of the hydrodynamic model indicate that this model fails to predict storm surge height during the model calibration and verification phases as typhoons approached the east coast of Taiwan. The BPNN model can reproduce the astronomical tide level but fails to modify the prediction of the storm surge tide level. The ANFIS model satisfactorily predicts both the astronomical tide level and the storm surge height during the training and verification phases and exhibits the lowest values of mean absolute error and root-mean-square error compared to the simulated results at the different stations using the hydrodynamic model and the BPNN model. Comparison results showed that the ANFIS techniques could be successfully applied in predicting water levels along the east coastal of Taiwan during typhoon events.

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Comparison of storm surge/tide predictions between a 2-D operational forecast system, the regional tide/storm surge model (RTSM), and the 3-D regional ocean modeling system (ROMS)

Cited by 15 publications

References 18 publications

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Development of tropical cyclone wind field for simulation of storm surge/sea surface height using numerical ocean model

Predicting typhoon-induced storm surge tide with a two-dimensional hydrodynamic model and artificial neural network model

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