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Book Synopsis SLOSH: Sea, Lake, and Overland Surges from Hurricanes by : Chester P. Jelesnianski
Download or read book SLOSH: Sea, Lake, and Overland Surges from Hurricanes written by Chester P. Jelesnianski and published by . This book was released on 1992 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Land Use Applications of the SLOSH Model (sea, Lake and Overland Surges from Hurricanes) by : Karen Allenstein
Download or read book Land Use Applications of the SLOSH Model (sea, Lake and Overland Surges from Hurricanes) written by Karen Allenstein and published by . This book was released on 1985 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Introduction of Wave Set-Up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes (SLOSH) Model by : nist
Download or read book Introduction of Wave Set-Up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes (SLOSH) Model written by nist and published by . This book was released on 2013-11-26 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis SLOSH by : United States. National Oceanic and Atmospheric Administration
Download or read book SLOSH written by United States. National Oceanic and Atmospheric Administration and published by . This book was released on 2006 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction of Wave Set-up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes (slosh) Model by : Long T. Phan
Download or read book Introduction of Wave Set-up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes (slosh) Model written by Long T. Phan and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Hurricane Storm Surge Inundation Areas (1993), Slow Model by :
Download or read book Hurricane Storm Surge Inundation Areas (1993), Slow Model written by and published by . This book was released on 1999-09-03 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Storm Surge Analysis Using Numerical and Statistical Techniques and Comparison with NWS Model SLOSH by : Manish Aggarwal
Download or read book Storm Surge Analysis Using Numerical and Statistical Techniques and Comparison with NWS Model SLOSH written by Manish Aggarwal and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Hurricane Storm Surge Inundation Areas (1993), Fast Model by :
Download or read book Hurricane Storm Surge Inundation Areas (1993), Fast Model written by and published by . This book was released on 1999-07-21 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Introduction of Wave-Set-Up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes Model by : U.s. Department of Commerce
Download or read book Introduction of Wave-Set-Up Effects and Mass Flux to the Sea, Lake, and Overland Surges from Hurricanes Model written by U.s. Department of Commerce and published by CreateSpace. This book was released on 2014-03-04 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
The report contains an adaptation of a unique storm-surge forecasting technique developed by Dr. C.P. Jelesnianski. This technique results in a computed storm surge profile at the inner boundary of an artificial standard basin seaward of the coast. The profile is derived from nomograms based upon a standard storm passing over a standard basin. Thumb rules and guidelines are presented in the publication for subjectively modifying the computer storm surge height as it moves shoreward of the artificial basin boundary, to fit the natural conditions of a particular coastline. Major advantages of this system are its applicability to almost any locale, its adaptability to data normally available to the field forecaster and the speed with which the forecast may be modified to remain current with natural fluctuations of the storm.
Book Synopsis Storm-surge Forecasting by : J. W. Nickerson
Download or read book Storm-surge Forecasting written by J. W. Nickerson and published by . This book was released on 1971 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report contains an adaptation of a unique storm-surge forecasting technique developed by Dr. C.P. Jelesnianski. This technique results in a computed storm surge profile at the inner boundary of an artificial standard basin seaward of the coast. The profile is derived from nomograms based upon a standard storm passing over a standard basin. Thumb rules and guidelines are presented in the publication for subjectively modifying the computer storm surge height as it moves shoreward of the artificial basin boundary, to fit the natural conditions of a particular coastline. Major advantages of this system are its applicability to almost any locale, its adaptability to data normally available to the field forecaster and the speed with which the forecast may be modified to remain current with natural fluctuations of the storm.