scholarly journals A new approach to using wind speed for prediction of tropical cyclone generated storm surge

2008 ◽  
Vol 35 (13) ◽  
Author(s):  
Mark R. Jordan ◽  
Carol Anne Clayson
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Storm Surge ◽  
New Approach

scholarly journals Tropical cyclone wind speed constraints from resultant storm surge deposition: A 2500 year reconstruction of hurricane activity from St. Marks, FL

2013 ◽  
Vol 14 (8) ◽  
pp. 2993-3008 ◽  
Author(s):  
Christine M. Brandon ◽  
Jonathan D. Woodruff ◽  
D. Phil Lane ◽  
Jeffrey P. Donnelly
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Storm Surge ◽  
Hurricane Activity

scholarly journals A new tropical cyclone surge index incorporating the effects of coastal geometry, bathymetry and storm information

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Md. Rezuanul Islam ◽  
Chia-Ying Lee ◽  
Kyle T. Mandli ◽  
Hiroshi Takagi
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Retrospective Analysis ◽  
Real Time ◽  
Numerical Computation ◽  
Storm Surge ◽  
Public Awareness ◽  
Translation Speed ◽  
Potential Index ◽  
Using Data

AbstractThis study presents a new storm surge hazard potential index (SSHPI) for estimating tropical cyclone (TC) induced peak surge levels at a coast. The SSHPI incorporates parameters that are often readily available at real-time: intensity in 10-min maximum wind speed, radius of 50-kt wind, translation speed, coastal geometry, and bathymetry information. The inclusion of translation speed and coastal geometry information lead to improvements of the SSHPI to other existing surge indices. A retrospective analysis of SSHPI using data from 1978–2019 in Japan suggests that this index captures historical events reasonably well. In particular, it explains ~ 66% of the observed variance and ~ 74% for those induced by TCs whose landfall intensity was larger than 79-kt. The performance of SSHPI is not sensitive to the type of coastal geometry (open coasts or semi-enclosed bays). Such a prediction methodology can decrease numerical computation requirements, improve public awareness of surge hazards, and may also be useful for communicating surge risk.

scholarly journals A new tropical cyclone surge index incorporating the effects of coastal geometry, bathymetry and storm information

2021 ◽  
Author(s):  
Md. Islam ◽  
Chia-Ying Lee ◽  
Kyle T. Mandli ◽  
Hiroshi Takagi
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Retrospective Analysis ◽  
Real Time ◽  
Numerical Computation ◽  
Storm Surge ◽  
Public Awareness ◽  
Translation Speed ◽  
Potential Index ◽  
Using Data

This study presents a new storm surge hazard potential index (SSHPI) for estimating tropical cyclone (TC) induced maximum surge levels at a coast. The SSHPI incorporates parameters that are often readily available at real-time: intensity in 10-minute maximum wind speed, radius of 50-kt wind, translation speed, coastal geometry, and bathymetry information. The inclusion of translation speed and coastal geometry information lead to improvements of the SSHPI to other existing surge indices. A retrospective analysis of SSHPI using data from 1978–2019 in Japan suggests that this index captures historical events reasonably well. In particular, it explains ~66% of the observed variance and ~74% for those induced by TCs whose landfall intensity was larger than 79-kt. The performance of SSHPI is not sensitive to the type of coastal geometry (open coasts or semi-enclosed bays). Such a prediction methodology can decrease numerical computation requirements, improve public awareness of surge hazards, and may also be useful for communicating surge risk.

scholarly journals Spatial Relation between Wind Stress and Storm Surge during Hurricanes Laura and Delta in 2020

2021 ◽  
Vol 02 (03) ◽  
pp. 1-1
Author(s):  
Shih-Ang Hsu ◽  
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Water Level ◽  
Storm Surge ◽  
Surface Analysis ◽  
Wind Stress ◽  
Spatial Relation ◽  
High Water ◽  
Mesoscale Meteorology ◽  
First Approximation

Spatial relation between wind stress and storm surge during two hurricanes in 2020 is investigated. It is found that, during Laura’s landfall, the area inside of 65 knots (34 m s -1) isotach or line of equal wind speed can produce up to 18 ft (5.5 m) inundation and during Delta, the area inside of 50 knots (26 m s -1) up to 11 ft (3.3 m) high water level above the ground. The tropical cyclone (TC) surface analysis near landfall by the Regional and Mesoscale Meteorology Branch (RAMMB) is recommended as a first approximation for coastal environmental and engineering applications during a TC.

Potential Tropical Cyclone Disaster Loss Assessment based on Multiple Hazard Indicators

2020 ◽  
Author(s):  
Jian Li
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Tropical Cyclones ◽  
Storm Surge ◽  
Maximum Wind Speed ◽  
Central Pressure ◽  
Loss Assessment ◽  
Maximum Wind ◽  
Disaster Loss ◽  
Potential Loss

<p><span>Tropical cyclones could cause large casualties and economic loss in coastal area of China. It is of great importance to develop a method that can provide pre-event rapid loss assessment in a timely manner prior to the landing of a tropical cyclone. In this study, a pre-event tropical cyclone disaster loss assessment method based on similar tropical cyclone retrieval with multiple hazard indicators is proposed. Multiple indicators include tropical cyclone location, maximum wind speed, central pressure, radius of maximum wind, forward speed, Integrated Kinetic Energy (IKE), maximum storm surge, and maximum significant wave height. Firstly, the track similarity is measured by similarity deviation considering only the locations of tropical cyclone tracks. Secondly, the intensity similarity is measured by best similarity coefficient using central pressure, radius of maximum wind, maximum wind speed, moving speed, wind, storm surge, and wave intensity indices. Then, the potential loss of current tropical cyclone is assessed based on the retrieved similar tropical cyclones loss. Taking tropical cyclone Utor (2013) that affected China as an example, the potential loss is predicted according to the five most similar historical tropical cyclones which are retrieved from all the historical tropical cyclones. The method is flexible for rapid disaster loss assessment since it provides a relatively satisfactory result based on two scenarios of input dataset availability.</span></p>

EFFECTS OF MAXIMUM WIND SPEED RADIUS AND TRANSLATION SPEED OF SCENARIO TYPHOON ON STORM SURGE AND WAVE

2018 ◽  
Vol 74 (2) ◽  
pp. I_583-I_588
Author(s):  
Masafumi KIMIZUKA ◽  
Tomotsuka TAKAYAMA ◽  
Hiroyasu KAWAI ◽  
Masafumi MIYATA ◽  
Katsuya HIRAYAMA ◽  
...  
Keyword(s):  
Wind Speed ◽  
Storm Surge ◽  
Maximum Wind Speed ◽  
Translation Speed ◽  
Maximum Wind

scholarly journals The Use of Odd and Even Class Wind Speed Time Series of Distribution Histogram to Estimate Weibull Parameters

2018 ◽  
Vol 7 (2) ◽  
pp. 139-150 ◽  
Author(s):  
Adekunlé Akim Salami ◽  
Ayité Sénah Akoda Ajavon ◽  
Mawugno Koffi Kodjo ◽  
Seydou Ouedraogo ◽  
Koffi-Sa Bédja
Keyword(s):  
Time Series ◽  
Wind Speed ◽  
Time Series Data ◽  
Empirical Method ◽  
Likelihood Method ◽  
Series Data ◽  
New Approach ◽  
Weibull Parameters ◽  
Distribution Histogram ◽  
Mean Wind Speed

In this article, we introduced a new approach based on graphical method (GPM), maximum likelihood method (MLM), energy pattern factor method (EPFM), empirical method of Justus (EMJ), empirical method of Lysen (EML) and moment method (MOM) using the even or odd classes of wind speed series distribution histogram with 1 m/s as bin size to estimate the Weibull parameters. This new approach is compared on the basis of the resulting mean wind speed and its standard deviation using seven reliable statistical indicators (RPE, RMSE, MAPE, MABE, R2, RRMSE and IA). The results indicate that this new approach is adequate to estimate Weibull parameters and can outperform GPM, MLM, EPF, EMJ, EML and MOM which uses all wind speed time series data collected for one period. The study has also found a linear relationship between the Weibull parameters K and C estimated by MLM, EPFM, EMJ, EML and MOM using odd or even class wind speed time series and those obtained by applying these methods to all class (both even and odd bins) wind speed time series. Another interesting feature of this approach is the data size reduction which eventually leads to a reduced processing time.Article History: Received February 16th 2018; Received in revised form May 5th 2018; Accepted May 27th 2018; Available onlineHow to Cite This Article: Salami, A.A., Ajavon, A.S.A., Kodjo, M.K. , Ouedraogo, S. and Bédja, K. (2018) The Use of Odd and Even Class Wind Speed Time Series of Distribution Histogram to Estimate Weibull Parameters. Int. Journal of Renewable Energy Development 7(2), 139-150.https://doi.org/10.14710/ijred.7.2.139-150

scholarly journals Tropical cyclone simulations over Bangladesh at convection permitting 4.4 km & 1.5 km resolution

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Hamish Steptoe ◽  
Nicholas Henry Savage ◽  
Saeed Sadri ◽  
Kate Salmon ◽  
Zubair Maalick ◽  
...  
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Sea Level ◽  
Tropical Cyclones ◽  
Weather Forecasting ◽  
Sea Level Pressure ◽  
Mean Sea Level ◽  
Level Pressure ◽  
Medium Range ◽  
Gust Speed

AbstractHigh resolution simulations at 4.4 km and 1.5 km resolution have been performed for 12 historical tropical cyclones impacting Bangladesh. We use the European Centre for Medium-Range Weather Forecasting 5th generation Re-Analysis (ERA5) to provide a 9-member ensemble of initial and boundary conditions for the regional configuration of the Met Office Unified Model. The simulations are compared to the original ERA5 data and the International Best Track Archive for Climate Stewardship (IBTrACS) tropical cyclone database for wind speed, gust speed and mean sea-level pressure. The 4.4 km simulations show a typical increase in peak gust speed of 41 to 118 knots relative to ERA5, and a deepening of minimum mean sea-level pressure of up to −27 hPa, relative to ERA5 and IBTrACS data. The downscaled simulations compare more favourably with IBTrACS data than the ERA5 data suggesting tropical cyclone hazards in the ERA5 deterministic output may be underestimated. The dataset is freely available from 10.5281/zenodo.3600201.

scholarly journals Correction to: Future projection of maximum potential storm surge height at three major bays in Japan using the maximum potential intensity of a tropical cyclone

2021 ◽  
Vol 164 (3-4) ◽  
Author(s):  
Nobuhito Mori ◽  
Nozomi Ariyoshi ◽  
Tomoya Shimura ◽  
Takuya Miyashita ◽  
Junichi Ninomiya
Keyword(s):  
Tropical Cyclone ◽  
Storm Surge ◽  
Future Projection ◽  
Surge Height
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