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Articles 1 - 6 of 6
Full-Text Articles in Mechanical Engineering
Effect Of Varying Wind Intensity, Forward Speed, And Surface Pressure On Storm Surges Of Hurricane Ritaeffect Of Varying Wind Intensity, Forward Speed, And Surface Pressure On Storm Surges Of Hurricane Rita, Abram Musinguzi, Muhammad K. Akbar
Effect Of Varying Wind Intensity, Forward Speed, And Surface Pressure On Storm Surges Of Hurricane Ritaeffect Of Varying Wind Intensity, Forward Speed, And Surface Pressure On Storm Surges Of Hurricane Rita, Abram Musinguzi, Muhammad K. Akbar
Mechanical and Manufacturing Engineering Faculty Research
Hurricane storm surges are influenced by several factors, including wind intensity, surface pressure, forward speed, size, angle of approach, ocean bottom depth and slope, shape and geographical features of the coastline. The relative influence of each factor may be amplified or abated by other factors that are acting at the time of the hurricane’s approach to the land. To understand the individual and combined influence of wind intensity, surface pressure and forward speed, a numerical experiment is conducted using Advanced CIRCulation + Simulating Waves Nearshore (ADCIRC + SWAN) by performing hindcasts of Hurricane Rita storm surges. The wind field generated …
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, Abram Musinguzi, Muhammad K. Akbar, Jason G. Fleming, Samuel K. Hargrove
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, Abram Musinguzi, Muhammad K. Akbar, Jason G. Fleming, Samuel K. Hargrove
Mechanical and Manufacturing Engineering Faculty Research
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 …
Implementation Of An Implicit Solver In Adcirc Storm Surge Model, Abdullah Alghamdi, Muhammad K. Akbar
Implementation Of An Implicit Solver In Adcirc Storm Surge Model, Abdullah Alghamdi, Muhammad K. Akbar
Mechanical and Manufacturing Engineering Faculty Research
The current state of science does not offer any remedy to stop a hurricane from occurring. Therefore, accurate storm surge models capable of predicting water velocity and elevation are indispensable. In this paper, the implementation of an implicit solver in the Advanced Circulation (ADCIRC) storm surge model is presented. The implemented implicit solver uses hybrid finite element and finite volume techniques for solving shallow water equations. Objectives of this research include: Enhancing numerical stability, providing an option of using large timesteps, and the usage of a relatively easier mathematical formulation than the existing one in ADCIRC. The storm surge hindcast …
Effect Of Bottom Friction, Wind Drag Coefficient, And Meteorological Forcing In Hindcast Of Hurricane Rita Storm Surge Using Swan + Adcirc Model, Muhammad K. Akbar, Simbarashe Kanjanda, Abram Musinguzi
Effect Of Bottom Friction, Wind Drag Coefficient, And Meteorological Forcing In Hindcast Of Hurricane Rita Storm Surge Using Swan + Adcirc Model, Muhammad K. Akbar, Simbarashe Kanjanda, Abram Musinguzi
Mechanical and Manufacturing Engineering Faculty Research
An evaluation of the effect of bottom friction, wind drag coefficient, and meteorological forcing is conducted using a tightly coupled wave and circulation model, SWAN + ADCIRC (i.e., Simulating WAves Nearshore + ADvanced CIRCulation), to hindcast the storm surge of Hurricane Rita (2005). Wind drag coefficient formulations of Powell, Zijlema, and Peng & Li are used to calculate wind stresses. Bottom friction and wind drag coefficients are systematically increased and decreased to quantify their impacts on the hindcast. Different meteorological forcing options are applied to study the effect of wind fields on storm surge development and propagation. Simulated water levels …
Camel And Adcirc Storm Surge Models—A Comparative Study, Muhammad K. Akbar, Richard A. Luettich, Jason G. Fleming, Shahrouz K. Aliabadi
Camel And Adcirc Storm Surge Models—A Comparative Study, Muhammad K. Akbar, Richard A. Luettich, Jason G. Fleming, Shahrouz K. Aliabadi
Mechanical and Manufacturing Engineering Faculty Research
The Computation and Modeling Engineering Laboratory (CaMEL), an implicit solver-based storm surge model, has been extended for use on high performance computing platforms. An MPI (Message Passing Interface) based parallel version of CaMEL has been developed from the previously existing serial version. CaMEL uses hybrid finite element and finite volume techniques to solve shallow water conservation equations in either a Cartesian or a spherical coordinate system and includes hurricane-induced wind stress and pressure, bottom friction, the Coriolis effect, and tidal forcing. Both semi-implicit and fully-implicit time stepping formulations are available. Once the parallel implementation is properly validated, CaMEL is evaluated …
An Exploration Of Wind Stress Calculation Techniques In Hurricane Storm Surge Modeling, Kyra M. Bryant, Muhammad Akbar
An Exploration Of Wind Stress Calculation Techniques In Hurricane Storm Surge Modeling, Kyra M. Bryant, Muhammad Akbar
Mechanical and Manufacturing Engineering Faculty Research
As hurricanes continue to threaten coastal communities, accurate storm surge forecasting remains a global priority. Achieving a reliable storm surge prediction necessitates accurate hurricane intensity and wind field information. The wind field must be converted to wind stress, which represents the air-sea momentum flux component required in storm surge and other oceanic models. This conversion requires a multiplicative drag coefficient for the air density and wind speed to represent the air-sea momentum exchange at a given location. Air density is a known parameter and wind speed is a forecasted variable, whereas the drag coefficient is calculated using an empirical correlation. …