scholarly journals Nonlinear terms in storm surge predictions: Effect of tide and shelf geometry with case study from Hurricane Rita

2010 ◽  
Vol 115 (C6) ◽  
Author(s):  
João L. Rego ◽  
Chunyan Li
Keyword(s):  
Storm Surge ◽  
Hurricane Rita

scholarly journals Understanding Hurricane Storm Surge Generation and Propagation Using a Forecasting Model, Forecast Advisories and Best Track in a Wind Model, and Observed Data—Case Study Hurricane Rita

2019 ◽  
Vol 7 (3) ◽  
pp. 77 ◽  
Author(s):  
Abram Musinguzi ◽  
Muhammad K. Akbar ◽  
Jason G. Fleming ◽  
Samuel K. Hargrove
Keyword(s):  
Storm Surge ◽  
Surface Wind ◽  
Storm Surges ◽  
Wind Pressure ◽  
Forecasting Model ◽  
Wind Fields ◽  
Wind Model ◽  
Meteorological Forcing ◽  
Hurricane Rita

Meteorological forcing is the primary driving force and primary source of errors for storm surge forecasting. The objective of this study was to learn how forecasted meteorological forcing influences storm surge generation and propagation during a hurricane so that storm surge models can be reliably used to forecast actual events. Hindcasts and forecasts of Hurricane Rita (2005) storm surge was used as a case study. Meteorological forcing or surface wind/pressure fields for Hurricane Rita were generated using both the Weather Research and Forecasting (WRF) full-scale forecasting model along with archived hurricane advisories ingested into a sophisticated parametric wind model, namely Generalized Asymmetric Holland Model (GAHM). These wind fields were used to forecast Rita storm surges. Observation based wind fields from the OceanWeather Inc. (OWI) Interactive Objective Kinematic Analysis (IOKA) model, and Best track wind data ingested into the GAHM model were used to generate wind fields for comparison purposes. These wind fields were all used to hindcast Rita storm surges with the ADvanced CIRCulation (ADCIRC) model coupled with the Simulating Waves Nearshore (SWAN) model in a tightly coupled storm surge-wave model referred to as ADCIRC+SWAN. The surge results were compared against a quality-controlled database of observed data to assess the performance of these wind fields on storm surge generation and propagation. The surge hindcast produced by the OWI wind field performed the best, although some high water mark (HWM) locations were overpredicted. Although somewhat underpredicted, the WRF wind fields forecasted wider surge extent and wetted most HWM locations. The hindcast using the Best track parameters in the GAHM and the forecast using forecast/advisories from the National Hurricane Center (NHC) in the GAHM produced strong and narrow wind fields causing localized high surges, which resulted in overprediction near landfall while many HWM locations away from wind bands remained dry.

Storm surge risk assessment method for a coastal county in China: case study of Jinshan District, Shanghai

2020 ◽  
Vol 34 (5) ◽  
pp. 627-640 ◽  
Author(s):  
Shi Xianwu ◽  
Qiu Jufei ◽  
Chen Bingrui ◽  
Zhang Xiaojie ◽  
Guo Haoshuang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Storm Surge ◽  
Assessment Method ◽  
Risk Assessment Method ◽  
Coastal County

scholarly journals Assessing storm surge hazard and impact of sea level rise in the Lesser Antilles case study of Martinique

2017 ◽  
Vol 17 (9) ◽  
pp. 1559-1571 ◽  
Author(s):  
Yann Krien ◽  
Bernard Dudon ◽  
Jean Roger ◽  
Gael Arnaud ◽  
Narcisse Zahibo
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Storm Surge ◽  
Numerical Models ◽  
Lesser Antilles ◽  
Adaptation Measures ◽  
Worst Case ◽  
Mitigation And Adaptation ◽  
The Impact

Abstract. In the Lesser Antilles, coastal inundations from hurricane-induced storm surges pose a great threat to lives, properties and ecosystems. Assessing current and future storm surge hazards with sufficient spatial resolution is of primary interest to help coastal planners and decision makers develop mitigation and adaptation measures. Here, we use wave–current numerical models and statistical methods to investigate worst case scenarios and 100-year surge levels for the case study of Martinique under present climate or considering a potential sea level rise. Results confirm that the wave setup plays a major role in the Lesser Antilles, where the narrow island shelf impedes the piling-up of large amounts of wind-driven water on the shoreline during extreme events. The radiation stress gradients thus contribute significantly to the total surge – up to 100 % in some cases. The nonlinear interactions of sea level rise (SLR) with bathymetry and topography are generally found to be relatively small in Martinique but can reach several tens of centimeters in low-lying areas where the inundation extent is strongly enhanced compared to present conditions. These findings further emphasize the importance of waves for developing operational storm surge warning systems in the Lesser Antilles and encourage caution when using static methods to assess the impact of sea level rise on storm surge hazard.

scholarly journals ESTIMATION OF WORST-CLASS TROPICAL CYCLONE AND STORM SURGE, AND ITS RETURN PERIOD -CASE STUDY FOR ISE BAY-

2015 ◽  
Vol 71 (2) ◽  
pp. I_1513-I_1518 ◽  
Author(s):  
Yoko SHIBUTANI ◽  
Sota NAKAJO ◽  
Nobuhito MORI ◽  
Sooyoul KIM ◽  
Hajime MASE
Keyword(s):  
Tropical Cyclone ◽  
Storm Surge ◽  
Return Period ◽  
Ise Bay

PROJECTION OF FUTURE STORM SURGE DUE TO CLIMATE CHANGE AND ITS UNCERTAINTY – A CASE STUDY IN THE TOKYO BAY

2011 ◽  
pp. 369-376
Author(s):  
TOMOHIRO YASUDA ◽  
NOBUHITO MORI ◽  
SOTA NAKAJO ◽  
HAJIME MASE ◽  
YUTA HAYASHI ◽  
...  
Keyword(s):  
Climate Change ◽  
Storm Surge ◽  
Tokyo Bay

The impact of different historical typhoon tracks on storm surge: A case study of Zhejiang, China

2020 ◽  
Vol 206 ◽  
pp. 103318 ◽  
Author(s):  
Mei Du ◽  
Yijun Hou ◽  
Peng Qi ◽  
Kai Wang
Keyword(s):  
Storm Surge ◽  
Typhoon Tracks ◽  
The Impact

scholarly journals Assessing storm surge hazard and impact of sea level rise in Lesser Antilles-Case study of Martinique

2017 ◽  
Author(s):  
Yann Krien ◽  
Bernard Dudon ◽  
Jean Roger ◽  
Gaël Arnaud ◽  
Narcisse Zahibo
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Storm Surge ◽  
Numerical Models ◽  
Lesser Antilles ◽  
Adaptation Measures ◽  
Worst Case ◽  
Mitigation And Adaptation ◽  
The Impact

Abstract. In the Lesser Antilles, coastal inundations from hurricane-induced storm surges cause great threats to lives, properties, and ecosystems. Assessing current and future storm surge hazard with sufficient spatial resolution is of primary interest to help coastal planners and decision makers develop mitigation and adaptation measures. Here, we use wave-current numerical models and statistical methods to investigate worst case scenarios and 100-year surge levels for the case study of Martinique, under present climate or considering a potential sea-level rise. Results confirm that the wave setup plays a major role in Lesser Antilles, where the narrow island shelf impedes the piling-up of large amounts of wind-driven water on the shoreline during extreme events. The radiation stress gradients thus contribute significantly to the total surge, up to 100 % in some cases. The non-linear interactions of sea level rise with bathymetry and topography are generally found to be relatively small in Martinique, but can reach several tens of centimeters in low-lying areas where the inundation extent is strongly enhanced compared to present conditions. These findings further emphasize the importance of waves for developing operational storm surge warning systems in the Lesser Antilles, and encourage caution when using static methods to assess the impact of sea level rise on storm surge hazard.

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