scholarly journals Evaluation and improvement of the ERA5 wind field in typhoon storm surge simulations

2022 ◽  
Vol 118 ◽  
pp. 103000
Author(s):  
Jie Xiong ◽  
Fujiang Yu ◽  
Cifu Fu ◽  
Jianxi Dong ◽  
Qiuxing Liu
Keyword(s):  
Storm Surge ◽  
Wind Field

scholarly journals Simulation of Storm Surge in Seto Inland Sea with Wind Field Estimated by Empirical Typhoon Model and Mesoscale Model

2007 ◽  
Vol 54 ◽  
pp. 286-290 ◽  
Author(s):  
Hiroyasu KAWAI ◽  
Koji KAWAGUCHI ◽  
Tatsuo OHKAMA ◽  
Nobuaki TOMODA ◽  
Yukimasa HAGIMOTO ◽  
...  
Keyword(s):  
Storm Surge ◽  
Wind Field ◽  
Mesoscale Model ◽  
Seto Inland Sea

scholarly journals Investigation typhoon induced storm surge and high wave in Vietnam using coupled Delft3d-FLOW – WAVE models combined with weather research forecast (WRF) output wind field

2021 ◽  
Vol 4 (1) ◽  
pp. first
Author(s):  
LE TUAN ANH ◽  
DANG HOANG ANH ◽  
MAI THI YEN LINH ◽  
NGUYEN DANH THAO
Keyword(s):  
Storm Surge ◽  
Wave Height ◽  
Wind Field ◽  
Mekong Delta ◽  
Coastal Areas ◽  
Coupled Models ◽  
High Wave ◽  
Wave Models ◽  
The Impact ◽  
Weather Research

Introduction: Typhoon-induced disasters including storm surge and high wave are obvious threats to coastal areas in Vietnam. Thus, many researchers have paid their attention to this issue. The approaching methods are varied, including statistical methods and also numerical methods. This study suggests the coupled models Delft3D-FLOW and WAVE, using the meteorological output data from the Weather Research Forecast (WRF) for investigating the typhoon induced disasters in the coastal areas in Viet Nam. Method: WRF is run in multiple domains with different grid resolutions simultaneously and there is an interaction between them to reproduce the wind field during the typhoon events. Delft3D-FLOW is coupled with Delft3D-WAVE (SWAN) through a dynamic interaction, in which the FLOW module considers the received radiation stresses calculated by the wave module. On the other side, the updated water depth including the contribution of the storm surge will be used by the WAVE module. Both Delft3D-FLOW and Delft3D-WAVE models used wind fields from the WRF simulation output as the meteorological input data. The total surge level includes the storm surge, wave-induced setup and the tidal level. Results: The case of extreme weather event Typhoon Kaemi (2000) was used to validate the wind field and the wave height. The calibration process of the the storm surge level was based on the observed data during Typhoon Xangsane (2006), while Typhoon Durian (2006) were used to validate the coupled models. The comparisons show the good agreement between simulated results and observed data, especially in terms of the peak water level and highest significant wave height, which mainly governed by the typhoon wind field. The simulated results reveal that the surge height durring Typhoon Durrian period along its path was ranged from 1.2 to more than 1.4m, which can be considered to pose the greatest risk to low-lying coastal areas of the Mekong Delta. Conclusion: The suggested coupled models can be used to investigate the impact of typhoon induced disasters.

scholarly journals Study on Storm Surge Using Parametric Model with Geographical Characteristics

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2251
Author(s):  
Yeon-joong Kim ◽  
Tea-woo Kim ◽  
Jong-sung Yoon
Keyword(s):  
Storm Surge ◽  
Wind Field ◽  
Global Climate ◽  
Grid Point ◽  
Storm Surges ◽  
Parametric Model ◽  
Hazard Map ◽  
Proposed Model ◽  
Pass Through ◽  
Geographical Characteristics

The coastal area of Japan has been damaged yearly by storm surges and flooding disasters in the past, including those associated with typhoons. In addition, the scale of damage is increasing rapidly due to the changing global climate and environment. As disasters due to storm surges become increasingly unpredictable, more measures should be taken to prevent serious damage and casualties. The Japanese government published a hazard map manual in 2015 and obligates the creation of a hazard map based on a parametric model as a measure to reduce high-scale storm surges. Parametric model (typhoon model) accounting for the topographical influences of the surroundings is essential for calculating the wind field of a typhoon. In particular, it is necessary to calculate the wind field using a parametric model in order to simulate a virtual typhoon (the largest typhoon) and to improve the reproducibility. Therefore, in this study, the aim was to establish a hazard map by assuming storm surges of the largest scale and to propose a parametric model that considers the changing shape of typhoons due to topography. The main objectives of this study were to analyze the characteristics of typhoons due to pass through Japan, to develop a parametric model using a combination of Holland’s and Myers’s models that is appropriate for the largest scale of typhoon, and to analyze the parameters of Holland’s model using grid point values (GPVs). Finally, we aimed to propose a method that considers the changing shape of typhoons due to topography. The modeling outcomes of tide levels and storm surge heights show that the reproduced results obtained by the analysis method proposed in this study are more accurate than those obtained using GPVs. In addition, the reproducibility of the proposed model was evaluated showing the high and excellent reproducibility of storm surge height according to the geographic characteristics.

scholarly journals Mangroves protect coastal economic activity from hurricanes

2019 ◽  
Vol 117 (1) ◽  
pp. 265-270 ◽  
Author(s):  
Alejandro del Valle ◽  
Mathilda Eriksson ◽  
Oscar A. Ishizawa ◽  
Juan Jose Miranda
Keyword(s):  
Storm Surge ◽  
Economic Activity ◽  
Wind Field ◽  
Field Model ◽  
Mangrove Forests ◽  
Wind Field Model ◽  
Short Run ◽  
The Impact ◽  
Coastal Lowlands

This paper evaluates whether mangroves can mitigate the impact of hurricanes on economic activity. The paper assembles a regionwide panel dataset that measures local economic activity using nightlights, potential hurricane damages using a detailed wind field model, and mangrove protection by mapping the width of mangrove forests on the path to the coast. The results show that hurricanes have negative short-run effects on economic activity, with losses likely concentrated in coastal lowlands that are exposed to both wind and storm surge hazards. In these coastal lowlands, the estimates show that nightlights decrease by up to 24% in areas that are unprotected by mangroves. By comparison, the impact of the hurricanes observed in the sample is fully mitigated in areas protected by mangrove belts of 1 km or more.

scholarly journals The Effect of the Surface Wind Field Representation in the Operational Storm Surge Model of the National Hurricane Center

Atmosphere ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 193 ◽  
Author(s):  
Talea Mayo ◽  
Ning Lin
Keyword(s):  
Wind Speed ◽  
Storm Surge ◽  
Wind Field ◽  
Wind Profile ◽  
Storm Surges ◽  
Maximum Wind Speed ◽  
Field Representation ◽  
Maximum Wind ◽  
National Hurricane Center ◽  
Surface Background

The Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model is the operational storm surge model of the National Hurricane Center (NHC). Previous studies have found that the SLOSH model estimates storm surges with an accuracy of ±20%. In this study, through hindcasts of historical storms, we assess the accuracy of the SLOSH model for four coastal regions in the Northeastern United States. We investigate the potential to improve this accuracy through modification of the wind field representation. We modify the surface background wind field, the parametric wind profile, and the maximum wind speed based on empirical, physical, and observational data. We find that on average the SLOSH model underestimates maximum storm surge heights by 22%. The modifications to the surface background wind field and the parametric wind profile have minor impacts; however, the effect of the modification to maximum wind speed is significant—it increases the variance in the SLOSH model estimates of maximum storm surges, but improves its accuracy overall. We recommend that observed values of maximum wind speed be used in SLOSH model simulations when possible.

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