SLOSH

SLOSH
Author: United States. National Oceanic and Atmospheric Administration
Publisher:
Total Pages: 171
Release: 2006
Genre: Hurricanes
ISBN:

Introduction of Wave Set-Up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes (SLOSH) Model

Introduction of Wave Set-Up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes (SLOSH) Model
Author: nist
Publisher:
Total Pages: 80
Release: 2013-11-26
Genre:
ISBN: 9781494290504

Hurricanes wreak havoc on the lives and infrastructure ofcoastal communities. Storm surge, a local rise in sea level elevations, is perhaps the most devastating element of these tropical cyclones. Storm surge depends on the tidal stage, barometric pressure, Coriolis effects, wind stress, and wave forcing, as well as the local bathymetry. In the past,many storm surge numerical models, such as Sea, Lake, and Overland Surges from Hurricanes (SLOSH), neglect wave forcing components to conserve computational efficiency. This omission would surely be preferred when wave forcing is not significant. However, numerous situations couldnecessitate the inclusion of waves' effects to more correctly model the surge both spatially and temporally. In its effort to characterize the combined effects of hurricane hazards (hurricane wind, storm surge, and waves) for use in developing structural design criteria for coastal structures, NIST in collaboration with the NOAA's MeteorologicalDevelopment Laboratory (MDL) and the Oceanic and Atmospheric Research (OAR) has developed a methodology that incorporates hurricane science, hydrology, probabilistic methods, and structural engineering needs for use in developing site specific, risk-based design criteria for coastal structures subjected to the above hurricane hazards. This early effort utilizes program SLOSH for hydrodynamic simulations without consideration of wave effects. Recognizing that wave set-up and mass flux might have a significant influence on total storm surge levels, the NIST then collaborated with NOAA's National Hurricane Center (NHC) to provide funding and technical guidance to the University of Florida for the incorporation of a wave model into the SLOSH model to extend SLOSH capability. The result of this effort is described in this report.

SLOSH Display Training

SLOSH Display Training
Author: United States. Federal Emergency Management Agency
Publisher:
Total Pages: 190
Release: 2003
Genre: Hurricanes
ISBN:

Introduction of Wave-Set-Up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes Model

Introduction of Wave-Set-Up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes Model
Author: U.s. Department of Commerce
Publisher: CreateSpace
Total Pages: 74
Release: 2014-03-04
Genre: Nature
ISBN: 9781495992629

Hurricanes wreak havoc on the lives and infrastructure of coastal communities. Storm surge, a local rise in sea elevations, is perhaps the most devastating element of these tropical cyclones. Storm surge depends on the tidal stage, barometric pressure, Coriolis effect, wind stress, and wave forcing, as well as the local bathymetry. In the past, many storm surge numerical models, such as Sea, Lake, and Overland Surges from Hurricanes (SLOSH) (JELESNIANSKI et al, 1992), neglect wave forcing components to conserve computational efficiency. However, numerous situations necessitate the inclusion of waves' effects to more correctly model the surge both spatially and temporally.

Storm Surge Analysis Using Numerical and Statistical Techniques and Comparison with NWS Model SLOSH

Storm Surge Analysis Using Numerical and Statistical Techniques and Comparison with NWS Model SLOSH
Author: Manish Aggarwal
Publisher:
Total Pages:
Release: 2005
Genre:
ISBN:

This thesis presents a technique for storm surge forecasting. Storm surge is the water that is pushed toward the shore by the force of the winds swirling around the storm. This advancing surge combines with the normal tides to create the hurricane storm tide, which can increase the mean water level by almost 20 feet. Numerical modeling is an important tool used for storm surge forecast. Numerical model ADCIRC (Advanced Circulation model; Luettich et al, 1992) is used in this thesis for simulating hurricanes. A statistical technique, EST (Empirical Statistical Technique) is used to generate life cycle storm surge values from the simulated hurricanes. These two models have been applied to Freeport, TX. The thesis also compares the results with the model SLOSH (Sea, Lake, and Overland Surges from Hurricanes), which is currently used for evacuation and planning. The present approach of classifying hurricanes according to their maximum sustained winds is analyzed. This approach is not found to applicable in all the cases and more research needs to be done. An alternate approach is suggested for hurricane storm surge estimation.

Hurricane Storm Surge Inundation Areas (1993), Slow Model

Hurricane Storm Surge Inundation Areas (1993), Slow Model
Author:
Publisher:
Total Pages:
Release: 1999-09-03
Genre:
ISBN:

The National Hurricane Center, in cooperation with the North Carolina Center for Geographic Information and Analysis, developed the GIS data set, Hurricane Storm Surge Inundation Areas (1993), to reevaluate the extent of the areas affected by hurricane inundation along the North Carolina coast. The data depicts the extent of hurricane storm surge inundation areas based on SLOSH (Sea, Lake, and Overland Surges from Hurricanes) models, for the North Carolina coast. This is the metadata for the SLOW model (with forward velocities of less than or equal to 15mph). Storm surge is the abnormal rise in water level caused by wind and pressure forces of a hurricane or tropical storm. The SLOSH model was developed using various combinations of hurricane strength (based on the Saffir-Simpson scale), wind speed, and direction of movement. Rainfall produced by a hurricane is not taken into account. This data is stored in a county library by county extent.

Hurricane Storm Surge Inundation Areas (1993), Fast Model

Hurricane Storm Surge Inundation Areas (1993), Fast Model
Author:
Publisher:
Total Pages:
Release: 1999-07-21
Genre:
ISBN:

The National Hurricane Center, in cooperation with the North Carolina Center for Geographic Information and Analysis, developed the GIS data set, Hurricane Storm Surge Inundation Areas (1993), to reevaluate the extent of the areas affected by hurricane inundation along the North Carolina coast. The data depicts the extent of hurricane storm surge inundation areas based on SLOSH (Sea, Lake, and Overland Surges from Hurricanes) models, for the North Carolina coast. This is the metadata for the FAST model (those with forward velocities greater than 15mph). Storm surge is the abnormal rise in water level caused by wind and pressure forces of a hurricane or tropical storm. The SLOSH model was developed using various combinations of hurricane strength (based on the Saffir-Simpson scale), wind speed, and direction of movement. Rainfall produced by a hurricane is not taken into account. This data is stored in a county library by county extent.