Numerical Experiments of Hurricane Impact on Vertical Mixing and De-Stratification of the Louisiana Shelf Waters

Total Page:16

File Type:pdf, Size:1020Kb

Numerical Experiments of Hurricane Impact on Vertical Mixing and De-Stratification of the Louisiana Shelf Waters Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School 2014 Numerical Experiments of Hurricane Impact on Vertical Mixing and De-Stratification of the Louisiana Shelf Waters Mohammadnabi Allahdadi Louisiana State University and Agricultural and Mechanical College, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Part of the Oceanography and Atmospheric Sciences and Meteorology Commons Recommended Citation Allahdadi, Mohammadnabi, "Numerical Experiments of Hurricane Impact on Vertical Mixing and De-Stratification of the Louisiana Shelf Waters" (2014). LSU Doctoral Dissertations. 3268. https://digitalcommons.lsu.edu/gradschool_dissertations/3268 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. NUMERICAL EXPERIMENTS OF HURRICANE IMPACT ON VERTICAL MIXING AND DE-STRATIFICATION OF THE LOUISIANA SHELF WATERS A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The Department of Oceanography and Coastal Sciences by Mohammadnabi Allahdadi B.S., Shiraz University, 1998 M.S., University of Tehran, 2001 May 2015 ACKNOWLEDGEMENTS This dissertation would have been incomplete without the dedicated help from numerous people as listed below: First, I would like to express my sincere gratitude to my adviser Dr. Chunyan Li, for his financial support during my studies and his great impact on my study in Oceanography through both courses and group meetings. I’m so much grateful for his patience and scientific comments that highly improved my dissertation. I am also grateful to the other committee members, Drs. Nan Walker, Barry Keim, Nancy Rabalais and Laura Ikuma, for suggestions which improved this dissertation substantially. I would like to thank Dr. Changsheng Chen (University of Massachusetts-Dartmouth) for his kindness in sharing the FVCOM code. I would like to acknowledge the former WAVCIS colleagues Dr. Seyed Mostafa Siadat Mousavi and Dr. Felix Jose and the former CSI Ph.D. student Dr. Clint Edrington for their kind suggestions and help during and after their presence at LSU. Also, I always appreciate and remember the great help and kindness of my former advisor, Dr. Gregory W. Stone (late). Lastly, the seemingly endless patience and support of my wife must also be recognized. ii TABLE OF CONTENTS ACKNOWLEDGEMENTS ............................................................................................................ ii ABSTRACT .....................................................................................................................................v CHAPTER 1: INTRODUCTION AND BACKGROUND INFORMATION ................................1 1.1 Introduction ..........................................................................................................................1 1.2 Background and Literature Review .....................................................................................1 1.3 Objectives ............................................................................................................................7 1.4 Approach ..............................................................................................................................7 1.5 Organization of Dissertation ................................................................................................8 CHAPTER 2: INVESTIGATION OF SEASONAL MIXING ALONG THE LOUISIANA COAST USING HYDRODYNAMICS DATA ........................................................9 2.1 Introduction ..........................................................................................................................9 2.2 Data and Methods ................................................................................................................9 2.3 Results ................................................................................................................................10 2.4 Hydrodynamics and Hypoxia ............................................................................................15 2.5 Summary and Conclusions ................................................................................................16 CHAPTER 3: NUMERICAL SIMULATION OF LOUISIANA SHELF CIRCULATION UNDER HURRICANE KATRINA FORCES ..............................................................................17 3.1 Introduction ........................................................................................................................17 3.2 Background ........................................................................................................................17 3.3 Hurricane Katrina...............................................................................................................19 3.4 The Circulation Model .......................................................................................................20 3.5 Preparation of Input Wind .................................................................................................23 3.6 Current Verification ...........................................................................................................28 3.7 Simulation Results for Case B ...........................................................................................39 3.8 Discussion ..........................................................................................................................51 3.9 Summary and Conclusions ................................................................................................54 CHAPTER 4: HURRICANE INDUCED MIXING AND POST-STORM RE- STRATIFICATION OVER THE LOUISIANA SHELF ..............................................................55 4.1 Introduction ........................................................................................................................55 4.2 Model setup for modeling that resolves temperature and salinity .....................................56 4.3 Verification of model .........................................................................................................59 4.4 Model Results ....................................................................................................................66 4.5 Discussion ..........................................................................................................................93 4.6 Summary and Conclusions ..............................................................................................102 CHAPTER 5: NUMERICAL EXPERIMENT OF STRATIFICATION INDUCED BY SOLAR HEATING OVER THE LOUISIANA SHELF .............................................................104 5.1 Introduction ......................................................................................................................104 5.2 Numerical Model .............................................................................................................104 iii 5.3. Model Specification ........................................................................................................106 5.4 Simulation Results ...........................................................................................................109 5.5 Effect of Diurnal Heating on Bottom Oxygen .................................................................116 5.6 Summary and Conclusion ................................................................................................117 CHAPTER 6: SUMMARY..........................................................................................................118 6.1 Introduction ......................................................................................................................118 6.2 Highlights .........................................................................................................................118 6.3 Suggestion for Future Research .......................................................................................121 REFERENCES ............................................................................................................................123 APPENDIX A: TEMPERATURE VARIATIONS INDUCED BY HURRICANE KATRINA ACROSS THE SELECTED EAST-WEST SECTIONS AT DIFFERENT TIMES AS DESCRIBED IN SECTION 4.4.3 ............................................................................133 APPENDIX B: TEMPERATURE VARIATIONS INDUCED BY HURRICANE KATRINA ACROSS THE SELECTED NORTH-SOUTH CROSS-SECTIONS AT DIFFERENT TIMES AS DESCRIBED IN SECTION 4.4.3......................................................147 APPENDIX C: SOME MODELING RESULTS FOR FALL STORMS ...................................163 APPENDIX D: FORMULATION OF DIFFERENT SURFACE HEAT COMPONENTS .......169 APPENDIX E: COVER PAGE OF JOURNAL OF COASTAL RESEARCH PAPER .............171 APPENDIX F: LETTER OF PERMISSION; JOURNAL OF COASTAL RESEARCH ...........172 VITA……………………………………………………………………………………….. ......173 iv ABSTRACT The numerical model FVCOM (Finite Volume Community Ocean Model) was applied to study the effects of Hurricane Katrina on the vertical mixing over the Louisiana shelf and the process of post-storm re-stratification. Wind field from Hurricane Katrina was
Recommended publications
  • 2014 New York Hazard Mitigation Plan Hurricane Section 3.12: HURRICANE (Tropical/ Coastal Storms/ Nor’Easter)
    2014 New York Hazard Mitigation Plan Hurricane Section 3.12: HURRICANE (Tropical/ Coastal Storms/ Nor’easter) 2014 SHMP Update Reformatted 2011 Mitigation Plan into 2014 Update outline Added Tropical Storms, Coastal Storms, & Nor’easter hazards to Hurricane Profile Added new key terms to 2011 Mitigation Plan’s list of terms Updated past hurricane occurrences section Inserted Events and Losses table Inserted new Hurricane Events and Property Losses maps Added information on New York Bight Added active State development projects 3.12.1 Hurricane (Tropical/ Coastal Storms/ Nor’easters) Profile Coastal storms, including Nor’easters, tropical storms, and hurricanes can, either directly or indirectly, impact all of New York State. More densely populated and developed coastal areas, such as New York City, are the most vulnerable to hurricane-related damages. Before a storm is classified a hurricane, it must pass through four distinct stages: tropical disturbance, tropical depression, tropical storm and lastly a hurricane. Figure 3.12a: Four Stages of a Hurricane Tropical Disturbance (Stage 1) Tropical Hurricane Depression (Stage 4) (Stage 2) Tropical Storm (Stage 3) 3.12-1 Final Release Date January 4, 2014 2014 New York Hazard Mitigation Plan Hurricane Characteristics Below are some key terms to review relating to hurricanes, tropical storms, coastal storms and nor’easters: Hazard Key Terms and Definition Nor’easter- An intense storm that can cause heavy rain and snow, strong winds, and coastal flooding. Nor’easters have cold, low barometric
    [Show full text]
  • Guidelines for Converting Between Various Wind Averaging Periods in Tropical Cyclone Conditions
    GUIDELINES FOR CONVERTING BETWEEN VARIOUS WIND AVERAGING PERIODS IN TROPICAL CYCLONE CONDITIONS For more information, please contact: World Meteorological Organization Communications and Public Affairs Office Tel.: +41 (0) 22 730 83 14 – Fax: +41 (0) 22 730 80 27 E-mail: [email protected] Tropical Cyclone Programme Weather and Disaster Risk Reduction Services Department Tel.: +41 (0) 22 730 84 53 – Fax: +41 (0) 22 730 81 28 E-mail: [email protected] 7 bis, avenue de la Paix – P.O. Box 2300 – CH 1211 Geneva 2 – Switzerland www.wmo.int D-WDS_101692 WMO/TD-No. 1555 GUIDELINES FOR CONVERTING BETWEEN VARIOUS WIND AVERAGING PERIODS IN TROPICAL CYCLONE CONDITIONS by B. A. Harper1, J. D. Kepert2 and J. D. Ginger3 August 2010 1BE (Hons), PhD (James Cook), Systems Engineering Australia Pty Ltd, Brisbane, Australia. 2BSc (Hons) (Western Australia), MSc, PhD (Monash), Bureau of Meteorology, Centre for Australian Weather and Climate Research, Melbourne, Australia. 3BSc Eng (Peradeniya-Sri Lanka), MEngSc (Monash), PhD (Queensland), Cyclone Testing Station, James Cook University, Townsville, Australia. © World Meteorological Organization, 2010 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate these publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box 2300 Fax: +41 (0) 22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of WMO concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.
    [Show full text]
  • Upper-Ocean Temperature Response to Hurricane Felix As Measured by the Bermuda Testbed Mooring
    MAY 1998 DICKEY ET AL. 1195 Upper-Ocean Temperature Response to Hurricane Felix as Measured by the Bermuda Testbed Mooring TOMMY DICKEY,* DAN FRYE,1 JOE MCNEIL,* DEREK MANOV,* NORM NELSON,# DAVID SIGURDSON,* HANS JANNASCH,@ DAVID SIEGEL,* TONY MICHAELS,# AND ROD JOHNSON# *Institute for Computational Earth System Science, University of California, Santa Barbara, Santa Barbara, California 1Woods Hole Oceanographic Institution, Woods Hole, Massachusetts #Bermuda Biological Station for Research, St. George's, Bermuda @Monterey Bay Aquarium Research Institute, Monterey, California (Manuscript received 3 September 1996, in ®nal form 18 March 1997) ABSTRACT Hurricane Felix passed over the Bermuda testbed mooring on 15 August 1995, providing a unique opportunity to observe the response of the upper ocean to a hurricane. In the vicinity of Bermuda, Felix was a particularly large hurricane with hurricane-force winds over a diameter of about 300±400 km and tropical storm±force winds over a diameter of about 650±800 km. Felix moved northwestward at about 25 km h21 with the eye passing about 65 km southwest of the mooring on 15 August. Peak winds reached about 135 km h21 at the mooring. Complementary satellite sea surface temperature maps show that a swath of cooler water (by about 3.58±4.08C) was left in the wake of Felix with the mooring in the center of the wake. Prior to the passage of Felix, the mooring site was undergoing strong heating and strati®cation. However, this trend was dramatically interrupted by the passage of the hurricane. As Felix passed the mooring, large inertial currents (speeds of 100 cm s21 at 25 m) were generated within the upper layer.
    [Show full text]
  • Skill of Synthetic Superensemble Hurricane Forecasts for the Canadian Maritime Provinces Heather Lynn Szymczak
    Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2004 Skill of Synthetic Superensemble Hurricane Forecasts for the Canadian Maritime Provinces Heather Lynn Szymczak Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES SKILL OF SYNTHETIC SUPERENSEMBLE HURRICANE FORECASTS FOR THE CANADIAN MARITIME PROVINCES By HEATHER LYNN SZYMCZAK A Thesis submitted to the Department of Meteorology in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Fall Semester, 2004 The members of the Committee approve the Thesis of Heather Szymczak defended on 26 October 2004. _________________________________ T.N. Krishnamurti Professor Directing Thesis _________________________________ Philip Cunningham Committee Member _________________________________ Robert Hart Committee Member Approved: ____________________________________________ Robert Ellingson, Chair, Department of Meteorology ____________________________________________ Donald Foss, Dean, College of Arts and Science The Office of Graduate Studies has verified and approved the above named committee members. ii I would like to dedicate my work to my parents, Tom and Linda Szymczak, for their unending love and support throughout my long academic career. iii ACKNOWLEDGEMENTS First and foremost, I would like to extend my deepest gratitude to my major professor, Dr. T.N. Krishnamurti, for all his ideas, support, and guidance during my time here at Florida State. I would like to thank my committee members, Drs. Philip Cunningham and Robert Hart for all of their valuable help and suggestions. I would also like to extend my gratitude to Peter Bowyer at the Canadian Hurricane Centre for his help with the Canadian Hurricane Climatology.
    [Show full text]
  • Development of an Objective Scheme to Estimate Tropical Cyclone Intensity from Digital Geostationary Satellite Infrared Imagery
    172 WEATHER AND FORECASTING VOLUME 13 Development of an Objective Scheme to Estimate Tropical Cyclone Intensity from Digital Geostationary Satellite Infrared Imagery CHRISTOPHER S. VELDEN AND TIMOTHY L. OLANDER Cooperative Institute for Meteorological Satellite Studies, Madison, Wisconsin RAYMOND M. ZEHR Regional and Mesoscale Meteorology Branch, NOAA/NESDIS, Fort Collins, Colorado (Manuscript received 17 July 1996, in ®nal form 10 August 1997) ABSTRACT The standard method for estimating the intensity of tropical cyclones is based on satellite observations (Dvorak technique) and is utilized operationally by tropical analysis centers around the world. The technique relies on image pattern recognition along with analyst interpretation of empirically based rules regarding the vigor and organization of convection surrounding the storm center. While this method performs well enough in most cases to be employed operationally, there are situations when analyst judgment can lead to discrepancies between different analysis centers estimating the same storm. In an attempt to eliminate this subjectivity, a computer-based algorithm that operates objectively on digital infrared information has been developed. An original version of this algorithm (engineered primarily by the third author) has been signi®cantly modi®ed and advanced to include selected ``Dvorak rules,'' additional constraints, and a time-averaging scheme. This modi®ed version, the Objective Dvorak Technique (ODT), is applicable to tropical cyclones that have attained tropical storm or hurricane strength. The performance of the ODT is evaluated on cases from the 1995 and 1996 Atlantic hurricane seasons. Reconnaissance aircraft measurements of minimum surface pressure are used to validate the satellite-based estimates. Statistical analysis indicates the technique to be competitive with, and in some cases superior to, the Dvorak-based intensity estimates produced operationally by satellite analysts from tropical analysis centers.
    [Show full text]
  • Real-Case Simulations of Hurricane–Ocean Interaction Using a High
    VOLUME 128 MONTHLY WEATHER REVIEW APRIL 2000 Real-Case Simulations of Hurricane±Ocean Interaction Using A High-Resolution Coupled Model: Effects on Hurricane Intensity MORRIS A. BENDER NOAA/Geophysical Fluid Dynamics Laboratory, Princeton University, Princeton, New Jersey ISAAC GINIS Graduate School of Oceanography, University of Rhode Island, Narragansett, Rhode Island (Manuscript received 13 July 1998, in ®nal form 2 April 1999) ABSTRACT In order to investigate the effect of tropical cyclone±ocean interaction on the intensity of observed hurricanes, the GFDL movable triply nested mesh hurricane model was coupled with a high-resolution version of the 1 Princeton Ocean Model. The ocean model had /68 uniform resolution, which matched the horizontal resolution of the hurricane model in its innermost grid. Experiments were run with and without inclusion of the coupling for two cases of Hurricane Opal (1995) and one case of Hurricane Gilbert (1988) in the Gulf of Mexico and two cases each of Hurricanes Felix (1995) and Fran (1996) in the western Atlantic. The results con®rmed the conclusions suggested by the earlier idealized studies that the cooling of the sea surface induced by the tropical cyclone will have a signi®cant impact on the intensity of observed storms, particularly for slow moving storms where the SST decrease is greater. In each of the seven forecasts, the ocean coupling led to substantial im- provements in the prediction of storm intensity measured by the storm's minimum sea level pressure. Without the effect of coupling the GFDL model incorrectly forecasted 25-hPa deepening of Gilbert as it moved across the Gulf of Mexico.
    [Show full text]
  • Vaisala News178 / 2008
    Vaisala News178 / 2008 A day in a hurricane specialist's life Tropical cyclones: The value of Vaisala Dropsondes and lightning data Building automation at its best Vaisala technology supports state- of-the-art laboratory conditions Phoenix 2007 Lander on Mars Onboard pressure sensor based on Vaisala BAROCAP® technology Atmospheric monitoring across Oklahoma City Vaisala Weather Transmitters used for urban weather observations Contents Vaisala in brief – Vaisala is the global leader 3 Presidents Column in weather and industrial measurement solutions. Our 4 A day in a hurricane specialist’s life goal is to provide the basis for better quality of life, environ- 8 Building automation at its best mental protection, safety, effi- ciency and cost-savings. 10 Phoenix 2007 Lander on Mars 15:30 EDT Miami, Florida, – Together with our custom- USA: a hurricane specialist 14 Vaisala strengthens its presence in India ers, we influence the lives of shows up for the evening shift hundreds of millions of peo- at the National Hurricane 15 Not an ordinary holiday flight ple. We improve the quality Center (NHC). A hurricane is of everyday life by, for exam- approaching from the Gulf of Mexico. How does our hurricane 16 Atmospheric monitoring across Oklahoma City ple, enabling reliable weather specialist act, and what are his information, aviation and traf- decesions based on? Page 4. 19 Vaisala to deliver weather radar equipment fic safety, and energy-efficient and high quality operations. to US Federal Aviation Administration 20 Vessel Traffic Services enhance maritime traffic safety 22 Exploring the oceans 23 Hands-on natural science Cover photo: On May 25th, 2008, NASA’s Shutterstock Phoenix 2007 Lander successfully 25 Briefly noted touched down on Mars' northern Editor-in-Chief: polar region.
    [Show full text]
  • Hurricanes and Tropical Storms in the Netherlands Antilles and Aruba
    METEOROLOGICAL SERVICE NETHERLANDS ANTILLES AND ARUBA 1 CONTENTS Introduction. 3 Meteorological Service of the Netherlands Antilles and Aruba.. 4 Tropical cyclones of the North Atlantic Ocean. 5 Characteristics of tropical cyclones. 6 Frequency and development of Atlantic tropical cyclones.. 7 Classification of Atlantic tropical cyclones. 8 Climatology of Atlantic tropical cyclones.. 10 Wind and Pressure. 10 Storm Surge. 10 Steering. 11 Duration of tropical cyclones.. 11 Hurricane Season. 12 Monthly and annual frequencies of Atlantic tropical cyclones. 13 Atlantic tropical cyclone basin, areas of formation.. 14 Identification of Atlantic tropical cyclones. 15 Hurricane preparedness and disaster prevention. 16 Hurricane climatology of the Netherlands Antilles. 18 The Leeward (ABC) Islands. 18 The Windward (SSS) Islands. 20 Hurricane Donna and other past hurricanes. 20 Hurricane Luis. 20 Hurricane Lenny. 22 Disaster preparedness organization in the Netherlands Antilles and Aruba. 25 References. 27 Attachment I - Tropical cyclones passing within 100 NM of 12.5N 69.0W through December 31, 2009.. 28 Attachment II - Tropical cyclones passing within 100 NM of 17.5N 63.0W through December 31, 2009. 30 Attachment III - International Hurricane Scale (IHS). 36 Attachment IV - Saffir/Simpson Hurricane Scale (SSH). 37 Attachment V - Words of warning.. 38 Last Updated: April 2010 2 Introduction The Netherlands Antilles consist of five small islands, located in two different geographical locations. The Leeward Islands or so-called "Benedenwindse Eilanden", Bonaire and Curaçao near 12 degrees North, 69 degrees West along the north coast of Venezuela, and the Windward Islands or so-called "Bovenwindse Eilanden", Saba, St. Eustatius and St. Maarten near 18 degrees north, 63 degrees west in the island chain of the Lesser Antilles.
    [Show full text]
  • Service Assessment October 2016 Hurricane Matthew
    Service Assessment October 2016 Hurricane Matthew U.S. DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration National Weather Service Silver Spring, Maryland Cover Photograph: Moderate-resolution imaging spectroradiometer (MODIS) satellite view from the NASA Terra Satellite of Hurricane Matthew taken at 12 pm EDT, October 7, 2016. ii Service Assessment October 2016 Hurricane Matthew August 2017 National Weather Service John D. Murphy Chief Operating Officer iii Preface Hurricane Matthew left a trail of destruction from the Caribbean to Virginia from September 29 – October 9, 2016. High winds, pounding surf, storm surge, and historic flooding led to widespread, devastating impacts along the southeast U.S. coastline. Hurricane Matthew traveled northward nearly parallel to the coast before making landfall in South Carolina. The storm produced winds in excess of 100 mph, storm surge in excess of 7 feet, and up to 20 inches of rainfall. Weather-related fatalities occurred up and down the southeast U.S. coast. The majority of fatalities were the result of flooding, making inland flooding a primary focus for this assessment. Because of the significant impacts of the event, the National Weather Service (NWS) formed a service assessment team to evaluate its performance before and during Hurricane Matthew’s impacts. The NWS Mission Delivery Council will review and consider the findings and recommendations from this assessment. As appropriate, the recommendations will then be integrated into the Annual Operating Plan to improve the quality of operational products and services and enhance the NWS’s public education and awareness materials related to flooding and other tropical cyclone hazards. The ultimate goal of this report is to help the NWS meet its mission to protect life and property and enhance the national economy.
    [Show full text]
  • HURRICANE BERTHA Carin Goodall-Gosnell, Dan Bartholf
    EASTERN REGION TECHNICAL ATTACHMENT NO. 98-1 FEBRUARY, 1998 HURRICANE BERTHA Carin Goodall-Gosnell, Dan Bartholf, John Elardo, Bob Frederick, Cory Gates, Jim Hudgins, and Richard Thacker NOAA/NEXRAD Weather Service Office Newport, North Carolina 1. INTRODUCTION Belhaven. Numerous trees and power lines were knocked down across all of eastern Around 2000 UTC 12 July 1996, Hurricane North Carolina, leaving many residents Bertha, a category 2 hurricane on the Saffir- without electricity for several days. Simpson Hurricane Scale (Table 1), made landfall south of Topsail Island, North Included here is a collection of studies made Carolina (Fig. 1). The eye of Bertha passed by the forecasters at NWSO MHX. A within 40 n mi of NWSO MHX, located in history of Bertha has been constructed using Newport, NC, approximately 9 n mi west- satellite and Doppler radar pictures. A non- northwest of Morehead City. This was the standard Z-R relationship was used on the first hurricane to move inland over east- Weather Surveillance Radar - 1988 Doppler central North Carolina since the NEXRAD (WSR-88D), and its performance has been Weather Service Office (NWSO) Newport compared with ground truth from various (MHX) and the collocated Doppler radar rain gauges. The vulnerability of eastern (KMHX) were put into service in January North Carolina to flooding, the public’s 1994. A close call occurred in August 1995, response to the hurricane threat, and the when the eye of Hurricane Felix appeared performance of various numerical weather on the radar for two volume scans. The last prediction and storm surge models are also major hurricane to make direct landfall over discussed.
    [Show full text]
  • Appendix H: 2007 HMP Hazard Events
    Appendix H: 2007 HMP Hazard Events This appendix includes the hazard event tables that were found in the 2007 Suffolk County HMP. These tables include events that occurred in the County through 2007. DMA 2000 Hazard Mitigation Plan Update – Suffolk County, New York H-1 April 2014 Appendix H: 2007 HMP Hazard Events Table H-1. Coastal Erosion Events FEMA Declaration Suffolk County Dates of Event Event Type Number Designated? Losses / Impacts September 22- 23, 1815 Severe Storm N/A N/A Many structures damaged including Montauk Lighthouse, major erosion October 29, 1893 Severe Storm N/A N/A During “The Great Storm of 1893”, Fire Island Cut broken through October 24, 1897 Nor’easter N/A N/A Separated Orient Village from the North Fork March 4, 1931 Nor’Easter N/A N/A Created Moriches Inlet, severe beach erosion and structural damage September 21, 1938 Hurricane N/A N/A “Long Island Express” or “Great Hurricane of ‘38” caused approximately $6.2 M, multiple deaths, Shinnecock Inlet created, Moriches Inlet widened by over 4,000 feet. More then 200 homes had been perched on dunes 20-feet high, destroyed fishing industry, created 12 new inlets. The storm produced winds that reached 200 miles per hour (mph), generated 5-meter-high breakers, overwashed 1/3 to 1/2 of Long Island, and created approximately 12 new inlets. altered natural coastline erosion responses from future storms (Mandia, 1992). September 14, 1944 Hurricane N/A N/A The “Great Atlantic Hurricane” storm center crossed the eastern portion of Long Island during a falling tide.
    [Show full text]
  • To: Richard Brodsky
    Preliminary Report on New York City Emergency Response and Evacuation Plans in the Event of a Weather-Related Emergency “People would stop evacuating simply because they were unable to evacuate.” -New York Hurricane Evacuation Study, April 20051 Richard L. Brodsky Chairman Committee on Corporations, Authorities, and Commissions September 15, 2005 1 Hurricane Evacuation Study Program, (April 2005) New York City Hurricane Evacuation Study Behavioral Analysis Findings [online] Available: http://chps.sam.usace.army.mil/USHESdata/NY/NY_city_behave_report.htm [September 8, 2005]. TABLE OF CONTENTS I. Introduction………………………………………………………….......1 II. History of New York Hurricanes………………………………….......2 III. Weather-Related Evacuations………………………………………….3 1. Reliability of Evacuation Plans………………………………………...3 a. Number of People Needing Evacuation……………………………3 b. Available Evacuation Resources……………………………….......4 c. Lead Time…………………………………………………………......5 d. Process, Accessibility, and Distance of Evacuation Routes and Shelters………………………………………………….6 i. Process…………………………………….....................6 ii. Accessibility and Distance………………………......6 e. Special Populations………………………………………………….7 f. Vulnerable Tunnels, Roadways, and Bridges……………………..7 g. Participation and Training of Public Employees………………...8 h. “Self Evacuation”…………………………………………………....9 i. Coordination between Municipalities and Agencies…………….10 2. Public Awareness and Education………………………………………10 3. Sufficient Shelter Space and Services……………………………........12 a. Services to Those Who Can Not or Do Not
    [Show full text]