Storm Surges in the Southern Beaufort Sea

1976 ◽  
Vol 33 (10) ◽  
pp. 2362-2376 ◽  
Author(s):  
R. F. Henry ◽  
N. S. Heaps
Keyword(s):  
Storm Surge ◽  
Wind Stress ◽  
Numerical Models ◽  
Storm Surges ◽  
Beaufort Sea ◽  
Ice Cover ◽  
The Other ◽  
Operational Forecasting ◽  
Detailed Simulation

Evidence of storm surge occurrence in the Canadian sector of the southern Beaufort Sea is reviewed and distinctions are drawn between surges occurring in the absence and presence of ice cover. Two numerical models are described, one intended for detailed simulation of past surges, the other a compact, economical model designed for operational forecasting of surges. The associated system used to obtain the required wind-stress input to the numerical models is also discussed.

scholarly journals Storm surges in the Western Black Sea. Operational forecasting

2000 ◽  
Vol 1 (1) ◽  
pp. 45 ◽  
Author(s):  
G. MUNGOV ◽  
P. DANIEL
Keyword(s):  
Sea Level ◽  
Storm Surge ◽  
Black Sea ◽  
Tide Gauge ◽  
Coastal Zone Management ◽  
World Ocean ◽  
Storm Surges ◽  
Statistical Characteristics ◽  
The Black Sea ◽  
Operational Forecasting

The frequency of the storm surges in the Black Sea is lower than that in other regions of the World Ocean but they cause significant damages as the magnitude of the sea level set-up is up to 7-8 times greater than that of other sea level variations. New methods and systems for storm surge forecasting and studying their statistical characteristics are absolutely necessary for the purposes of the coastal zone management. The operational forecasting storm surge model of Meteo-France was adopted for the Black Sea in accordance with the bilateral agreement between Meteo-France and NINMH. The model was verified using tide-gauge observations for the strongest storms observed along the Bulgarian coast over the last 10 years.

scholarly journals RISK ASSESSMENT OF AGGREGATE LOSS BY STORM SURGE INUNDATION IN ISE AND MIKAWA BAY

2018 ◽  
pp. 35
Author(s):  
Shota Hirai ◽  
Tomohiro Yasuda
Keyword(s):  
Risk Assessment ◽  
Storm Surge ◽  
Storm Surges ◽  
Insurance Contract ◽  
The Other ◽  
Insurance Company ◽  
Aichi Prefecture ◽  
Other Hand ◽  
Aggregate Loss

In the event of disaster, the risk of disaster are intertwined, and there is an occurrence possibility of simultaneous damage in multiple areas. Nationwide companies have more risks of simultaneous damage in multiple areas by one disaster. For example, factories in Osaka and in Nagoya, can be damaged by one typhoon. In this case, company will need more money when damage happened and better to make special insurance contract, e.g. Catastrophe bond. On the other hand, insurance company has to assess amount of insurance payout because to pay it for contracted companies quickly. Insurance company may have difficulty to estimate total amount since there are few researches assessing aggregate loss caused by coastal disasters. This research proposes a procedure of assessment of aggregate loss by storm surges in Ise and Mikawa Bay located in Aichi prefecture, Japan.

scholarly journals Storm Surge Ensemble Prediction for the City of Venice

2014 ◽  
Vol 29 (4) ◽  
pp. 1044-1057 ◽  
Author(s):  
Riccardo Mel ◽  
Piero Lionello
Keyword(s):  
Storm Surge ◽  
Storm Surges ◽  
Ensemble Prediction ◽  
Minor Role ◽  
Northern Adriatic Sea ◽  
Northern Adriatic ◽  
Ensemble Prediction System ◽  
Operational Forecasting ◽  
A Minor ◽  
The City

Abstract Sea level (SL) forecast for the city of Venice, Italy, is of paramount importance for the management and maintenance of this historical city and for operating the movable barriers that are presently being built for its protection. In this paper, an ensemble prediction system (EPS; based on an ensemble of 50 simulations) for operational forecasting of storm surge in the northern Adriatic Sea is presented and applied to 10 relatively high storm surge events that occurred in the year 2010. It is shown that storm surge peaks correspond to the maxima of uncertainty (as described by the spread of the EPS members), which increases linearly with the forecast range. Further, the uncertainty in storm surge level is shown to be linked to the uncertainty of the forcing meteorological fields. The quasi-linear dynamics of the storm surges plays a minor role in the evolution of uncertainty, except it produces its oscillation with a period associated with that of the 11-h seiche of the basin. The error of the ensemble mean forecast (EMF) is correlated with the EPS spread. For these cases, the EMF accuracy is very close to that of the high-resolution deterministic forecast (DF) and is more robust than the DF (meaning that its error is consistently smaller than the error of the DF, as the lead time of the forecast varies).

scholarly journals A MULTI-MODEL APPROACH TO SIMULATE THE STORM SURGE AT PUERTO RICO DUE TO HURRICANES IRMA AND MARIA

2018 ◽  
pp. 56
Author(s):  
David F. Kelly ◽  
Ewelina Luczko ◽  
Michael Fullarton ◽  
Yahia Kala
Keyword(s):  
Puerto Rico ◽  
Storm Surge ◽  
State Of The Art ◽  
Numerical Models ◽  
Storm Surges ◽  
Wind Pressure ◽  
Governing Equations ◽  
Storm Tide ◽  
Long Wave ◽  
Model Approach

In this paper we present the results of a multimodel approach to simulating the recent storm surges due to hurricanes Irma and Maria. The study focuses on Puerto Rico which, as a consequence of hurricane Maria, experienced storm surge around the entire perimeter of the island. In this study the storm tide is modeled using a variety of state-of-the-art 2DH numerical models. All models are based on the long wave assumption and employ the Non-Linear Shallow Water (NLSW) equations. The models vary according to the form of the governing NLSW equations that they employ. Differences include linearization and primitive variable or conserved variable (divergence) form. The numerical solution techniques used to solve the governing equations, as well as the options available for the wind, pressure, tidal forcing terms and wetting/drying techniques also vary between (and within) the models.

Inclusion of ice cover in a storm surge model for the Beaufort Sea

1989 ◽  
Vol 2 (2) ◽  
pp. 153-171 ◽  
Author(s):  
M. B. Danard ◽  
M. C. Rasmussen ◽  
T. S. Murty ◽  
R. F. Henry ◽  
Z. Kowalik ◽  
...  
Keyword(s):  
Storm Surge ◽  
Beaufort Sea ◽  
Ice Cover

scholarly journals Numerical experiments of storm winds, surges, and waves on the southern coast of Korea during Typhoon Sanba: the role of revising wind force

2014 ◽  
Vol 14 (12) ◽  
pp. 3279-3295 ◽  
Author(s):  
J. J. Yoon ◽  
J. S. Shim ◽  
K. S. Park ◽  
J. C. Lee
Keyword(s):  
Storm Surge ◽  
Numerical Experiments ◽  
Complex Geometry ◽  
Numerical Models ◽  
Three Dimensional ◽  
Coastal Region ◽  
Storm Surges ◽  
Ocean Model ◽  
Wind Force ◽  
Study Results

Abstract. The southern coastal area of Korea has often been damaged by storm surges and waves due to the repeated approach of strong typhoons every year. The integrated model system is applied to simulate typhoon-induced winds, storm surges, and surface waves in this region during Typhoon Sanba in 2012. The TC96 planetary boundary layer wind model is used for atmospheric forcing and is modified to incorporate the effect of the land's roughness on the typhoon wind. Numerical experiments are carried out to investigate the effects of land-dissipated wind on storm surges and waves using the three-dimensional, unstructured grid, Finite Volume Coastal Ocean Model (FVCOM), which includes integrated storm surge and wave models with highly refined grid resolutions along the coastal region of complex geometry and topography. Compared to the measured data, the numerical models have successfully simulated storm winds, surges, and waves. Better agreement between the simulated and measured storm winds has been found when considering the effect of wind dissipation by land roughness. In addition, this modified wind force leads to clearly improved results in storm surge simulations, whereas the wave results have shown only slight improvement. The study results indicate that the effect of land dissipation on wind force plays a significant role in the improvement of water level modeling inside coastal areas.

scholarly journals Numerical experiments of storm winds, surges, and waves on the southern coast of Korea during Typhoon Sanba: the role of revising wind force

2014 ◽  
Vol 2 (8) ◽  
pp. 5315-5360
Author(s):  
J. J. Yoon ◽  
J. S. Shim ◽  
K. S. Park ◽  
J. C. Lee
Keyword(s):  
Storm Surge ◽  
Numerical Experiments ◽  
Complex Geometry ◽  
Numerical Models ◽  
Three Dimensional ◽  
Coastal Region ◽  
Storm Surges ◽  
Ocean Model ◽  
Wind Force ◽  
Study Results

Abstract. The southern coastal area of Korea has often been damaged by storm surges and waves, due to the repeated approach of strong typhoons every year. The integrated model system is applied to simulate typhoon-induced winds, storm surges, and surface waves in this region during Typhoon Sanba in 2012. The TC96 (planetary boundary layer model) wind model is used for atmospheric forcing and is modified to incorporate the effect of the land's roughness on the typhoon wind. Numerical experiments are carried out to investigate the effects of land-dissipated wind on storm surges and waves using a three dimensional, unstructured grid, Finite Volume Coastal Ocean Model (FVCOM), which includes integrated storm surge and wave models with highly refined grid resolutions along the coastal region of complex geometry and topography. Compared to the measured data, the numerical models have successfully simulated storm winds, surges, and waves. Better agreement between the simulated and measured storm winds has been found when considering the effect of wind dissipation by land roughness. In addition, this modified wind force leads to clearly improved results in storm surge simulations, whereas the wave results have shown only slight improvement. The study results indicate that the effect of land dissipation on wind force plays a significant role in the improvement of water level modeling inside coastal areas.

THE DAMAGES OF COASTAL DIKES AND RIVER LEVEES AND THEIR RESTORATION

2011 ◽  
Vol 1 (7) ◽  
pp. 57
Author(s):  
Masanobu Hosoi ◽  
Yasuteru Tominaga ◽  
Hiroshi Mitsui ◽  
Tsutomu Kishi
Keyword(s):  
Storm Surge ◽  
Storm Surges ◽  
The Other ◽  
Ise Bay

The coasts of Ise Bay and Atsumi Bay were damaged by two big storm surges during the recent seven years, one was the Ise Bay Typhoon in 1959 and the other the Typhoon No.13 in 1953. In this report the aspect of storm surge due to the Typhoon No.13 and the restoration design of the coastal-dikes are described. Then the feature of damages of the coastal-dikes by the Ise Bay Typhoon are compared with the former and the restoration plans are explained.

scholarly journals Assimilation Research of Wind Stress Drag Coefficient Based on the Linear Expression

2021 ◽  
Vol 9 (10) ◽  
pp. 1135
Author(s):  
Junli Xu ◽  
Yuling Nie ◽  
Kai Ma ◽  
Wenqi Shi ◽  
Xianqing Lv
Keyword(s):  
Data Assimilation ◽  
Drag Coefficient ◽  
Storm Surge ◽  
Wind Stress ◽  
Bohai Sea ◽  
Storm Surges ◽  
Drag Coefficients ◽  
Initial Values ◽  
Linear Expression ◽  
Better Than

The wind stress drag coefficient plays an important role in storm surge models. This study reveals the influences of wind stress drag coefficients, which are given in form of formulas and inverted by the data assimilation method, on the storm surge levels in the Bohai Sea, Yellow Sea, and East China Sea during Typhoon 7008. In the process of data assimilation, the drag coefficient is based on the linear expression Cd = (a + b × U10) × 10−3 (generally speaking, a and b are empirical parameters determined by observed data). The results showed that the performance of the data assimilation method was far superior to those of drag coefficient formulas. Additionally, the simulated storm surge levels obviously changed in the neighborhood of typhoon eye. Furthermore, the effect of initial values of a and b in the Cd expression on the storm surge levels was also investigated when employing the data assimilation method. The results indicated that the simulation of storm surge level was the closest to the observation when a and b were simultaneously equal to zero, whereas the simulations had slight differences when the initial values of a and b were separately equal to the drag coefficients from the work of Smith, Wu, and Geernaert et al. Therefore, we should choose appropriate initial values for a and b by using the data assimilation method. As a whole, the data assimilation method is much better than drag coefficient parameterization formulas in the simulation of storm surges.

scholarly journals On the improvement of waves and storm surge hindcasts by downscaled atmospheric forcing: Application to historical storms

2017 ◽  
Author(s):  
Émilie Bresson ◽  
Philippe Arbogast ◽  
Lotfi Aouf ◽  
Denis Paradis ◽  
Anna Kortcheva ◽  
...  
Keyword(s):  
Storm Surge ◽  
Initial Conditions ◽  
Numerical Models ◽  
Storm Surges ◽  
Atmospheric Model ◽  
Coastal Areas ◽  
Wind Forcing ◽  
Small Scale ◽  
Whole Process ◽  
The Impact

Abstract. Winds, waves and storm surges can induce severe damages in coastal areas. The FP7 IncREO project aims to understand the impact of climate change on coastal areas and also to assess the predictability of such extreme events. Reproduce efficiently past events is the fisrt step to reach this purpose. This paper shows the use of atmospheric downscaling techniques in order to improve waves and storm surge hindcasts. Past storms which caused damages on European coastal areas are investigated using atmosphere, wave and storm surge numerical models and downscaling techniques are based on existing ECMWF reanalyses. The results show clearly that the 10 km resolution wind forcing provided by the downscaled atmospheric model gives better waves and surges hindcast against using wind from the reanalysis. Furthermore, the analysis of the most extreme mid-latitude cyclones indicates that a 4D blending approach improves the whole process as it includes small scale processes in the initial conditions.

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