scholarly journals STORM SURGE SIMULATIONS INCLUDING WAVE-CURRENT INTERACTIONS BASED ON THE 3D NEARSHORE CURRENT MODEL

2018 ◽  
pp. 85
Author(s):  
Hwusub Chun ◽  
Kyungmo Ahn ◽  
Witold Cieslikiewicz
Keyword(s):  
Storm Surge ◽  
Current Model ◽  
Storm Surges ◽  
Wave Model ◽  
Wave Forcing ◽  
Bay Area ◽  
The North ◽  
The Republic ◽  
Wave Induced ◽  
The Waves

This paper presents the numerical simulation of storm surges including wave-current interactions based on the 3D nearshore current model. Newly developed numerical model included new terms on surface stress and wave-induced Reynolds stress. The present nearshore current model calculates nearshore current field under storm surge, the wave forcing terms should be provided by the additional computation on the waves and surface roller. For the wave-current interactions, the present model is dynamically coupled with wind wave model which is modified WAM applicable to shallow water. We conducted storm surge simulations in Youngil-bay located in the east coast of the Republic of Korea. One of the purpose of this simulation is to estimate the influence of large breakwater constructed in the north side of bay entrance on the erosion of beaches located inside bay area during the storm.

Modelling Wave-Current-Turbulence Interactions for Tidal Energy Applications

2020 ◽  
Author(s):  
Vengatesan Venugopal ◽  
Arne Vögler
Keyword(s):  
North Atlantic ◽  
Tidal Current ◽  
Current Model ◽  
Coupled Model ◽  
Wave Model ◽  
Tidal Energy ◽  
The North ◽  
Wave Parameters ◽  
The North Atlantic ◽  
Coupled Wave

Abstract This paper presents the nature of turbulence parameters produced from 3-dimensional numerical simulations using an ocean scale wave-tidal current model applied to tidal energy sites in the Orkney waters in the United Kingdom. The MIKE 21/3 coupled wave-current model is chosen for this study. The numerical modelling study is conducted in two stages. First, a North Atlantic Ocean large-scale wave model is employed to simulate wave parameters. Spatial and temporal wind speeds extracted from the European Centre for Medium Range Weather Forecast (ECMWF) is utilised to drive the North Atlantic wave model. Secondly, the wave parameters produced from the North Atlantic model are used as boundary conditions to run a coupled wave-tidal current model. A turbulence model representing the turbulence and eddy viscosity within the coupled model is chosen and the turbulence kinetic energy (TKE) due to wave-current interactions are computed. The coupled model is calibrated with Acoustic Doppler and Current Profiler (ADCP) measurements deployed close to a tidal energy site in the Inner Sound of the Pentland Firth. The model output parameters such as the current speed, TKE, horizontal and vertical eddy viscosities, significant wave height, peak wave period and wave directions are presented, and, their characteristics are discussed in detail.

Wave Effects on the Storm Surge Simulation: A Case Study of Typhoon Khanun

2016 ◽  
Vol 11 (5) ◽  
pp. 964-972 ◽  
Author(s):  
Fuchun Lai ◽  
◽  
Luying Liu ◽  
Haijiang Liu ◽  
◽  
...  
Keyword(s):  
Storm Surge ◽  
Flow Model ◽  
Coupled Model ◽  
Wave Model ◽  
Model Tests ◽  
Storm Events ◽  
Wave Effects ◽  
Near Shore ◽  
Wave Induced ◽  
Surge Height

To study wave effects on storm surge, a depth-averaged 2D numerical model based on the Delft3D-FLOW model was utilized to simulate near-shore hydrodynamic responses to Typhoon Khanun. The Delft3D-WAVE model is coupled dynamically with the FLOW model and the enhanced vertical mixing, mass flux and wave set-up were considered as wave-current interaction in the coupled model. After verifying storm surge wind and pressure formulae of storm surge and optimizing calibration parameters, three numerical tests with different control variables were conducted. Model tests show that wave effects must be considered in numerical simulation. Simulating the flow-wave coupled model showed that wave-induced surge height could be as large as 0.4 m in near-shore areas for Typhoon Khanun. Comparing to its contribution to the peak surge height, wave-induced surge plays a more significant role to total surge height with respect to the time-averaged surge height in storm events. Wave-induced surge (wave setup) is in advance of typhoon propagation and becomes significant even before the typhoon landfall. Model tests demonstrate that the wave effects are driven predominantly by the storm wave, while the boundary wave contribution is rather limited.

scholarly journals Numerical Investigation of Storm Surge in Kong Port in the Persian Gulf

2019 ◽  
Author(s):  
Amir Hossein Mahdavi ◽  
Hamid Ansari Sharghi
Keyword(s):  
Sea Level Rise ◽  
Engineering Design ◽  
Sea Level ◽  
Storm Surge ◽  
Storm Surges ◽  
Wave Model ◽  
Water Level Fluctuations ◽  
Extreme Value Analysis ◽  
Value Analysis ◽  
Mean Sea Level

Storm surge is generated by the integration of waves, tide and wind setup that is resulted in unwanted mean sea level rise and coastal flooding. The estimation of accurate storm surge is essential for the engineering design of coastal structures. In this study, we estimated the respond of mean sea level winds, tide, waves, and sea-level rise using a local coastal model. A fully coupled hydrodynamic and wave model was implemented to obtain storm surge from different phenomena. The simulations of water level fluctuations due to these parameters were analyzed with the wind forces identified with tidal observations in the Port of Kong. Extreme value analysis was performed to determine the fluctuations associated with different return periods. These data were combined by sea-level rise projections are combined with resulted value. The worst and best scenario of storm surges for each return period were determined for engineering design purposes.

scholarly journals Nonlinear chaotic model for predicting storm surges

2010 ◽  
Vol 17 (5) ◽  
pp. 405-420 ◽  
Author(s):  
M. Siek ◽  
D. P. Solomatine
Keyword(s):  
Storm Surge ◽  
Network Models ◽  
Storm Surges ◽  
Neural Network Models ◽  
The North ◽  
Chaotic Model ◽  
Model Predictions ◽  
The North Sea ◽  
Reconstructed Phase Space ◽  
Prediction Techniques

Abstract. This paper addresses the use of the methods of nonlinear dynamics and chaos theory for building a predictive chaotic model from time series. The chaotic model predictions are made by the adaptive local models based on the dynamical neighbors found in the reconstructed phase space of the observables. We implemented the univariate and multivariate chaotic models with direct and multi-steps prediction techniques and optimized these models using an exhaustive search method. The built models were tested for predicting storm surge dynamics for different stormy conditions in the North Sea, and are compared to neural network models. The results show that the chaotic models can generally provide reliable and accurate short-term storm surge predictions.

scholarly journals Probabilistic hurricane-induced storm surge hazard assessment in Guadeloupe, Lesser Antilles

2015 ◽  
Vol 15 (8) ◽  
pp. 1711-1720 ◽  
Author(s):  
Y. Krien ◽  
B. Dudon ◽  
J. Roger ◽  
N. Zahibo
Keyword(s):  
Storm Surge ◽  
North Atlantic ◽  
Coupled Model ◽  
Storm Surges ◽  
Decision Makers ◽  
Lesser Antilles ◽  
Large Set ◽  
The North ◽  
Major Interest ◽  
Hurricane Hugo

Abstract. Current storm surge hazard maps in the French West Indies are essentially based on simple statistical methods using limited historical data and early low-resolution models which do not take the effect of waves into account. In this paper, we infer new 100-year and 1000-year surge levels in Guadeloupe from the numerical modelling of storm surges induced by a large set of synthetic events that are in statistical agreement with features of historical hurricanes in the North Atlantic Basin between 1980 and 2011. Computations are performed using the wave-current coupled model ADCIRC–SWAN with high grid resolutions (up to 40–60 m) in the coastal and wave dissipation areas. This model is validated against observations during past events such as hurricane HUGO (1989). Results are generally found to be in reasonable agreement with past studies in areas where surge is essentially wind-driven, but found to differ significantly in coastal regions where the transfer of momentum from waves to the water column constitutes a non-negligible part of the total surge. The methodology, which can be applied to other islands in the Lesser Antilles, allows storm surge level maps to be obtained that can be of major interest for coastal planners and decision makers in terms of risk management.

scholarly journals North Sea Storminess from a Novel Storm Surge Record since AD 1843*

2014 ◽  
Vol 27 (10) ◽  
pp. 3582-3595 ◽  
Author(s):  
Sönke Dangendorf ◽  
Sylvin Müller-Navarra ◽  
Jürgen Jensen ◽  
Frederik Schenk ◽  
Thomas Wahl ◽  
...  
Keyword(s):  
Storm Surge ◽  
North Sea ◽  
Decadal Variability ◽  
Storm Surges ◽  
Late Nineteenth Century ◽  
Circulation Index ◽  
The North ◽  
The North Sea ◽  
Late Nineteenth

Abstract The detection of potential long-term changes in historical storm statistics and storm surges plays a vitally important role for protecting coastal communities. In the absence of long homogeneous wind records, the authors present a novel, independent, and homogeneous storm surge record based on water level observations in the North Sea since 1843. Storm surges are characterized by considerable interannual-to-decadal variability linked to large-scale atmospheric circulation patterns. Time periods of increased storm surge levels prevailed in the late nineteenth and twentieth centuries without any evidence for significant long-term trends. This contradicts with recent findings based on reanalysis data, which suggest increasing storminess in the region since the late nineteenth century. The authors compare the wind and pressure fields from the Twentieth-Century Reanalysis (20CRv2) with the storm surge record by applying state-of-the-art empirical wind surge formulas. The comparison reveals that the reanalysis is a valuable tool that leads to good results over the past 100 yr; previously the statistical relationship fails, leaving significantly lower values in the upper percentiles of the predicted surge time series. These low values lead to significant upward trends over the entire investigation period, which are in turn supported by neither the storm surge record nor an independent circulation index based on homogeneous pressure readings. The authors therefore suggest that these differences are related to higher uncertainties in the earlier years of the 20CRv2 over the North Sea region.

scholarly journals The Impact of the Two-Way Coupling between Wind Wave and Atmospheric Models on the Lower Atmosphere over the North Sea

Atmosphere ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 386 ◽  
Author(s):  
Anne Wiese ◽  
Emil Stanev ◽  
Wolfgang Koch ◽  
Arno Behrens ◽  
Beate Geyer ◽  
...  
Keyword(s):  
North Sea ◽  
Wind Wave ◽  
Wave Model ◽  
Lower Atmosphere ◽  
Small Scale ◽  
Coupled Simulation ◽  
The North ◽  
Induced Drag ◽  
The North Sea ◽  
Wave Induced

The effects of coupling between the atmospheric model of the Consortium for Small-Scale Modelling-Climate Limited-area Modelling (CCLM) and the wind wave model (WAM) on the lower atmosphere within the North Sea area are studied. Due to the two-way coupling between the models, the influences of wind waves and the atmosphere on each other can be determined. This two-way coupling between these models is enabled through the introduction of wave-induced drag into CCLM and updated winds into WAM. As a result of wave-induced drag, different atmospheric parameters are either directly or indirectly influenced by the wave conditions. The largest differences between the coupled and reference model simulation are found during storm events as well as in areas of steep gradients in the mean sea level pressure, wind speed or temperature. In the two-way coupled simulation, the position and strength of these gradients vary, compared to the reference simulation, leading to differences that spread throughout the entire planetary boundary layer and outside the coupled model area, thereby influencing the atmosphere over land and ocean, although not coupled to the wave model. Ultimately, the results of both model simulations are assessed against in situ and satellite measurements, with a better general performance of the two-way coupled simulation with respect to the observations.

scholarly journals STORM SURGE PREDICTION IN TIDAL RIVERS: A NEW CONCEPTION

1978 ◽  
Vol 1 (16) ◽  
pp. 57
Author(s):  
Winfried Siefert
Keyword(s):  
Storm Surge ◽  
North Sea ◽  
High Tide ◽  
Storm Surges ◽  
Tidal Dynamics ◽  
The North ◽  
Highly Sensitive ◽  
Tidal Rivers ◽  
The North Sea ◽  
Warning Services

The heights of extreme storm surges in the North Sea rise up to U or 5 m above mean high tide. Warning services are established along the coast, mainly based on empirical connections between weather and tide data. A lot of wrong announcements are given especially for places up the tidal rivers. This can become disasterous for a lot of modern, highly sensitive harbour facilities. Thus storm surges are the famous plagues of the southern North Sea coast. Moreover, the "ten plagues of Germany" occurred during the last 16 years. So recently a new conception for storm surge prediction in tidal rivers was developed - with the result of a lot of new understandings of tidal dynamics in rivers (SIEFERT, 1968). We investigated about 130 storm surges, hindcasting all of them and forecasting about 20 of them, and analysed their behaviour in tidal rivers. Now we are able to forecast the upstream heights and even the shape of the surge curve in the Elbe with an accuracy of ± 2 dm, ' 6 hours in advance.

scholarly journals The North Sea surge of 31 October–1 November 2006 during Storm Britta

2018 ◽  
Vol 45 ◽  
pp. 273-279 ◽  
Author(s):  
Anthony James Kettle
Keyword(s):  
The Netherlands ◽  
Storm Surge ◽  
North Sea ◽  
Tide Gauge ◽  
Storm Surges ◽  
Tide Gauge Records ◽  
The North ◽  
Short Period ◽  
The North Sea ◽  
Sea Storm

Abstract. Offshore energy infrastructure, including the petroleum and wind energy sectors, are susceptible to damage and interruption by extreme meteorological events. In northwest Europe and especially the North Sea, these extreme meteorological events are mostly associated with severe storms in the autumn and winter seasons. In the North Sea, storm surges have an impact on the offshore energy sector mainly from the flooding of port facilities and from strong ocean currents causing extra structural loading and bottom scouring. Storm Britta on 31 October–1 November 2006 was an important North Sea storm with a high surge along the coast of the Netherlands and Germany and a significant number of high wave reports. The paper presents an analysis of the national tide gauge records of the United Kingdom, the Netherlands, Germany, and Denmark to spectrally isolate and reconstruct time series components corresponding to the storm surge, semi-diurnal tide, and short period contribution. The semi-diurnal tides and storm surge during Storm Britta are tracked counter-clockwise around the North Sea from Scotland to northern Denmark. The storm surge was remarkable for its pronounced peak in the coastal area between the Netherlands and Germany with no precedent in the ∼100 year measurement record. The short period component of the tide gauge records show large oscillations during the height of the storm that may correspond with reports of unusually high waves at nearby coastal locations.

scholarly journals A MULTIVARIATE STATISTICAL MODEL FOR ADVANCED STORM SURGE ANALYSES IN THE NORTH SEA

2011 ◽  
Vol 1 (32) ◽  
pp. 19 ◽  
Author(s):  
Thomas Wahl ◽  
Jürgen Jensen ◽  
Christoph Mudersbach
Keyword(s):  
Storm Surge ◽  
North Sea ◽  
Extreme Events ◽  
Input Data ◽  
Storm Surges ◽  
Distribution Functions ◽  
Source Modeling ◽  
Copula Functions ◽  
Protection Measures ◽  
The North

The knowledge of the characteristics of possible storm surges is essential to perform integrated risk analyses, e.g. based on the source-pathway-receptor concept, including the storm surge analyses (source), modeling failure mechanisms of the flood protection measures (pathway) and the quantification of potential losses (receptor). Focusing on the source part, a stochastic storm surge generator for the south-eastern North Sea is presented. The input data for the model are high resolution sea level observations from tide gauges during extreme events. Followed by the parameterization and fitting parametric distribution functions to the data sets, Monte-Carlo-Simulations allow the reconstruction of a large number of synthetic storm surge events. The latter serve as input data for the risk analyses and contribute to improving the overall results. The occurrence probabilities of the simulated extreme events are estimated based on multivariate statistics considering Copula functions, accounting for the structure of dependence overlooking the margins.

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