Sample records for week hurricane season

  1. Smart Grid Week: Hurricane Season and the Department's Efforts...

    Energy Savers [EERE]

    tropical cyclone on record, resulting in nearly nine million customers losing electric power. Prior to and following Hurricane Sandy, the Energy Department has taken unprecedented...

  2. 2012 National Hurricane Preparedness Week Page 1 Online Resources

    E-Print Network [OSTI]

    2012 National Hurricane Preparedness Week Page 1 Online Resources 2012 NATIONAL HURRICANE Administration (NOAA) recommend using social media tools as a way to promote National Hurricane Preparedness Week, May 27 ­ June 2, and throughout hurricane season. You can promote hurricane preparedness through your

  3. Hurricane Season 2006: Preparation is your

    E-Print Network [OSTI]

    Wood, Stephen L.

    Hurricane Season 2006: Preparation is your first step to SAFETY 2005 Hurricanes NAME CATEGORY Cindy A HURRICANE WATCH,issued for your part of the coast, indicates the possibility that you could experience hurricane conditions within 36 hours. This watch should trigger your disaster plan,and protective measures

  4. Potential Economic Value of Seasonal Hurricane Forecasts

    E-Print Network [OSTI]

    Emanuel, Kerry Andrew

    This paper explores the potential utility of seasonal Atlantic hurricane forecasts to a hypothetical property insurance firm whose insured properties are broadly distributed along the U.S. Gulf and East Coasts. Using a ...

  5. Energy Risk Predictions for the 2015 Hurricane Season | Department...

    Office of Environmental Management (EM)

    Risk Predictions for the 2015 Hurricane Season Energy Risk Predictions for the 2015 Hurricane Season This presentation is from a DOE-NASEO webinar held June 23, 2015, on...

  6. Before the Hurricane Season Determine safe evacuation routes inland.

    E-Print Network [OSTI]

    Li, X. Rong

    Before the Hurricane Season Determine safe evacuation routes inland. Learn location of official. Live in a high-rise. Hurricane winds can knock out electricity to elevators, break windows and more bulletins. Hurricane Watch: Hurricane conditions are possible within the specified coastal area. Because

  7. Environmental Patterns Associated with Active and Inactive Caribbean Hurricane Seasons

    E-Print Network [OSTI]

    Environmental Patterns Associated with Active and Inactive Caribbean Hurricane Seasons MARK R. JURY of hurricanes passing through the Caribbean in the 1950­2005 period reveals that seasons with more intense hurricanes occur with the onset of Pacific La Nin~a events and when Atlantic SSTs west of Africa are above

  8. The 2002 North Atlantic Hurricane Season Gerald D. Bell1

    E-Print Network [OSTI]

    . 2000). One measure of this seasonal activity is the Accumulated Cyclone Energy (ACE) index (Fig. 1), which is essentially a wind energy index calculated by summing the squares of the estimated 6-hourly storm or hurricane. For the 2002 season the total ACE index was 62.5 x 105 kt2 (Fig. 1), or 73

  9. Extendedrange seasonal hurricane forecasts for the North Atlantic with a hybrid dynamicalstatistical model

    E-Print Network [OSTI]

    Webster, Peter J.

    Extendedrange seasonal hurricane forecasts for the North Atlantic with a hybrid 20 September 2010; published 9 November 2010. [1] A hybrid forecast model for seasonal hurricane between the number of seasonal hurricane and the large scale variables from ECMWF hindcasts. The increase

  10. QUALITATIVE UPDATED DISCUSSION OF ATLANTIC BASIN SEASONAL HURRICANE ACTIVITY FOR 2012

    E-Print Network [OSTI]

    Gray, William

    QUALITATIVE UPDATED DISCUSSION OF ATLANTIC BASIN SEASONAL HURRICANE ACTIVITY FOR 2012 We anticipate that the 2012 Atlantic basin hurricane season will have reduced activity compared with the 1981 hurricane season. Our first quantitative forecast for 2012 will be issued on Wednesday, April 4. (as of 21

  11. Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences

    E-Print Network [OSTI]

    Kottas, Athanasios

    Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences Sai and for the conditional mark distribution. The motivating application involves the analysis of hurricane landfalls the evolution of the intensity of the process of hurricane landfall occurrences, and the respective maximum wind

  12. Coastal Change During the 2008 Hurricane Season: An Overview USGS National Assessment of Coastal-Change Hazards

    E-Print Network [OSTI]

    Fleskes, Joe

    Coastal Change During the 2008 Hurricane Season: An Overview USGS National Assessment of Coastal, and then measured, the coastal changes that occurred during the most intense land falling hurricanes of 2008 Village on the North Carolina Outer Banks during Hurricane Isabel in 2003. (See http://coastal.er.usgs.gov/hurricanes

  13. The 2009 North Atlantic Hurricane Season A Climate Perspective

    E-Print Network [OSTI]

    Atlantichur- ricanes began in 1995 (Goldenberg et al.2001).Asaresult,theAccumulated Cyclone Energy (ACE) index (Bell et Cyclone Energy (ACE) Index 2009 High-activity Era Averages 10 NS, 6.5H 3.3MH, ACE=131% Averages 8.5 NS, 5.shtml)calledfor9-14 named storms, 4-7 hurricanes, 1-3 major hurricanes, and anACE range of 65%-130% of the median

  14. The 2005 North Atlantic Hurricane Season A Climate Perspective

    E-Print Network [OSTI]

    , a record estimated Accumulated Cyclone Energy (ACE) index (Bell et al. 2000) of 285% of the median (Fig. 1, and four major hurricanes struck the Fig. 1. NOAA's Accumulated Cyclone Energy (ACE) index expressed 1983 1989 1986 ACE(%ofMedian) NOAA's Accumulated Cyclone Energy (ACE) Index 2005 NOAA'sAugust 2005

  15. The 2004 North Atlantic Hurricane Season A Climate Perspective

    E-Print Network [OSTI]

    Administration's(NOAA's)AccumulatedCyclone Energy (ACE) index (Bell et al. 2004), which ac- counts Favorable AEJEnhanced Cyclonic Circulation Low Vertical Shear #12;2 calstorm(Bonnie)andfourashurri- canes for the combined strength and duration of tropical storms and hurricanes during a given sea- son. This wind energy

  16. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2011

    E-Print Network [OSTI]

    Gray, William

    Major Hurricane Days (MHD) (5.0) 10 Accumulated Cyclone Energy (ACE) (96.1) 165 Net Tropical Cyclone FOR 2011 We foresee an above-average Atlantic basin tropical cyclone season in 2011 and anticipate an above the largest year-to-year variability of any of the global tropical cyclone basins. People are curious to know

  17. The 2007 North Atlantic Hurricane Season A Climate Perspective

    E-Print Network [OSTI]

    Atmospheric Administration(NOAA)AccumulatedCyclone Energy (ACE) index (Bell et al. 2000), a measure of the season's overall

  18. The 2010 North Atlantic Hurricane Season A Climate Perspective

    E-Print Network [OSTI]

    . The2010seasonalAccumulated CycloneEnergy(ACE)value(Belletal. 2000) was 166.3 x 104 kt2 , which cor 2007 High-activity Era High-activity Era Low-activity Era NOAA's Accumulated Cyclone Energy (ACE) Index 2010 175 Fig. 2. NOAA'sAccumulated Cyclone Energy (ACE) index expressed as percent of the 1950

  19. The 2011 North Atlantic Hurricane Season A Climate Perspective

    E-Print Network [OSTI]

    Low-activity Era NOAA's Accumulated Cyclone Energy (ACE) Index May August 2011NOAA Outlooks 2011 165 Fig. 2. NOAA'sAccumulated seasonalAccumu- latedCycloneEnergy(ACE)value(Bell et al. 2000) was 127.1 x 104 kt2 , which Fig. 1.Tracks of Cyclone Energy (ACE) index expressed as percent of the 1981-2010 median value. ACE is calculated

  20. SUMMARY OF 2010 ATLANTIC TROPICAL CYCLONE ACTIVITY AND VERIFICATION OF AUTHOR'S SEASONAL AND TWO-WEEK FORECASTS

    E-Print Network [OSTI]

    Birner, Thomas

    .3) 3-5 4 5 5 5 Major Hurricane Days (MHD) (5.0) 6-12 10 13 13 11 Accumulated Cyclone Energy (ACE) (96, hurricanes and major hurricanes, respectively. 3 #12;DEFINITIONS AND ACRONYMS Accumulated Cyclone Energy (ACESUMMARY OF 2010 ATLANTIC TROPICAL CYCLONE ACTIVITY AND VERIFICATION OF AUTHOR'S SEASONAL AND TWO

  1. Hurricane Preparedness for Livestock 

    E-Print Network [OSTI]

    Paschal, Joseph C.

    2002-08-12T23:59:59.000Z

    When a hurricane threatens, livestock owners should be prepared to protect their animals, their barns and equipment, and their feedstocks. This publication explains what to do to make sure your livestock are safe during hurricane season....

  2. Year-ahead Prediction of Hurricane Season Sea Surface Temperature in the Tropical Atlantic

    E-Print Network [OSTI]

    Meagher, J; Meagher, Jonathan; Jewson, Stephen

    2006-01-01T23:59:59.000Z

    One possible method for the year-ahead prediction of hurricane numbers would be to make a year-ahead prediction of sea surface temperature (SST), and then to apply relationships that link SST to hurricane numbers. As a first step towards setting up such a system this article compares three simple statistical methods for the year-ahead prediction of the relevant SSTs.

  3. FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2013

    E-Print Network [OSTI]

    Gray, William

    Hurricanes (MH) (2.0) 4 4 0 3 3 Major Hurricane Days (MHD) (3.9) 9 9 0 7 7 Accumulated Cyclone Energy (ACE) (92) 165 165 7 135 142 Net Tropical Cyclone Activity (NTC) (103%) 175 175 10 140 150 POST-31 JULY

  4. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2013

    E-Print Network [OSTI]

    Hurricanes (MH) (2.0) 4 4 Major Hurricane Days (MHD) (3.9) 9 9 Accumulated Cyclone Energy (ACE) (92) 165 165 Net Tropical Cyclone Activity (NTC) (103%) 175 175 PROBABILITIES FOR AT LEAST ONE MAJOR (CATEGORY 3 percent of the long-period average. We expect Atlantic basin Net Tropical Cyclone (NTC) activity in 2013

  5. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2011

    E-Print Network [OSTI]

    Gray, William

    Hurricanes (MH) (2.3) 5 5 Major Hurricane Days (MHD) (5.0) 10 10 Accumulated Cyclone Energy (ACE) (96.1) 165 160 Net Tropical Cyclone Activity (NTC) (100%) 180 175 PROBABILITIES FOR AT LEAST ONE MAJOR (CATEGORY. We expect Atlantic basin Net Tropical Cyclone (NTC) activity in 2011 to be approximately 175 percent

  6. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2010

    E-Print Network [OSTI]

    Gray, William

    Energy (ACE) (96.1) 100-162 150 Net Tropical Cyclone Activity (NTC) (100%) 108-172 160 PROBABILITIES-39 35 Major Hurricanes (MH) (2.3) 3-5 4 Major Hurricane Days (MHD) (5.0) 6-12 10 Accumulated Cyclone-to-year variability of any of the global tropical cyclone basins. People are curious to know how active the upcoming

  7. SUMMARY OF 2012 ATLANTIC TROPICAL CYCLONE ACTIVITY AND VERIFICATION OF AUTHORS' SEASONAL AND TWO-WEEK FORECASTS

    E-Print Network [OSTI]

    Gray, William

    (MHD) (3.9) 3 4 5 0.25 6% Accumulated Cyclone Energy (ACE) (92) 70 80 99 129 140% Net Tropical Cyclone Cyclone Energy (ACE) were at above-average levels. Most hurricane activity in 2012 was concentrated of the season in the Caribbean. Integrated measures such as Net Tropical Cyclone (NTC) activity and Accumulated

  8. FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2014

    E-Print Network [OSTI]

    Major Hurricane Days (MHD) (3.9) 2 3 3 0 3 3 Accumulated Cyclone Energy (ACE) (92) 55 65 65 7 58 65 Net Tropical Cyclone Activity (NTC) (103%) 60 70 70 5 65 70 POST-31 JULY PROBABILITIES FOR AT LEAST ONE MAJOR

  9. Hurricane Preparedness for Livestock (Spanish) 

    E-Print Network [OSTI]

    Paschal, Joseph C.

    2002-08-12T23:59:59.000Z

    When a hurricane threatens, livestock owners should be prepared to protect their animals, their barns and equipment, and their feedstocks. This publication explains what to do to make sure your livestock are safe during hurricane season....

  10. hurricane plan UNO HURRICANE PLAN

    E-Print Network [OSTI]

    Li, X. Rong

    hurricane plan #12;UNO HURRICANE PLAN TABLE OF CONTENTS INTRODUCTION....................................................................................................................................................... 1 I. HURRICANE EMERGENCY TEAMS Hurricane Emergency Implementation Team (HEIT)......................................... 2 PPoosstt

  11. Photo of the Week: Rain or Shine, Preparing for the 2013 Hurricane Season |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM5Parabolic TroughPhoto Gallery: EnergyEnergyPi + NASA

  12. Smart Grid Week: Hurricane Season and the Department's Efforts to Make

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Site EnvironmentalEnergySafely Delivering DOE'sEnergy3 SGIG Programthe Grid More

  13. NATIONAL HURRICANE CENTERNATIONAL HURRICANE CENTER Overview of the

    E-Print Network [OSTI]

    hours. · The "Accumulated Cyclone Energy" (ACE) for the season was 285% of median ­ the highest value hurricane - 882 mb. The central pressure of Wilma fell 88 mb in 12 hours. · The "Accumulated Cyclone Energy" (ACE) for the season was 285% of median ­ the highest value of record for an Atlantic hurricane season

  14. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2010

    E-Print Network [OSTI]

    Gray, William

    -12 Accumulated Cyclone Energy (ACE) (96.1) 100-162 Net Tropical Cyclone Activity (NTC) (100%) 108 FOR 2010 We foresee an above-average Atlantic basin tropical cyclone season in 2010 and anticipate an above to climatology. The Atlantic basin has the largest year-to-year variability of any of the global tropical cyclone

  15. HURRICANE INDUCED WAVE AND SURGE FORCES ON BRIDGE DECKS

    E-Print Network [OSTI]

    McPherson, Ronald L.

    2010-01-16T23:59:59.000Z

    The damaging effects of hurricane landfall on US coastal bridges have been studied using physical model testing. Hurricane bridge damage and failure susceptibility has become very evident, especially during hurricane seasons 2004 and 2005...

  16. Hurricane Floyd, 1999/NOAA hurricanes...

    E-Print Network [OSTI]

    Homes, Christopher C.

    Hurricane Floyd, 1999/NOAA hurricanes... A PREPAREDNESS GUIDE U.S. DEPARTMENT OF COMMERCE National's Fury FEMA #12;2 The term hurricane has its origin in the indigenous religions of old civilizations was called Huracan. Hurricanes may not be considered evil but they are one of nature's most powerful storms

  17. Extreme Hurricane Surge Estimation for Texas Coastal Bridges Using Dimensionless Surge Response Functions

    E-Print Network [OSTI]

    Song, Youn Kyung

    2010-10-12T23:59:59.000Z

    Since the devastating hurricane seasons of 2004, 2005, and 2008, the stability and serviceability of coastal bridges during and following hurricane events have become a main public concern. Twenty coastal bridges, critical for hurricane evacuation...

  18. Hurricane Modeling R. Saravanan 1, Jenshan Hsieh 1, Jaison Kurian 2, Zhao Xu 2

    E-Print Network [OSTI]

    Hurricane Modeling R. Saravanan 1, Jenshan Hsieh 1, Jaison Kurian 2, Zhao Xu 2 Christina M Image: Hurricane Katrina from NOAA GOES 8/28/2005, 1545z #12;Why model hurricanes? · Forecast the track and intensity of individual hurricanes · Outlook for the next hurricane season · Projections of changes

  19. U. S. Weather Bureau. Hurricane Arlene, August 2-10, 1963j

    E-Print Network [OSTI]

    U. S. Weather Bureau. Hurricane Arlene, August 2-10, 1963j prelim. report with advisories Weather Bureau Hurricane Series ERRATA NOTICE One or more conditions of the original document may affect ON HURRICANE ARLENE AUGUST 2-10, 1963 HURRICANE ARLENE, the f i r s t of the 1963 season, formed i n

  20. U .S,Weather Bureau. Hurricane Anna, July 20-24, 1961;preliminary

    E-Print Network [OSTI]

    U .S,Weather Bureau. Hurricane Anna, July 20-24, 1961;preliminary report with the advisories and Atmospheric Administration Weather Bureau Hurricane Series ERRATA NOTICE One or more conditions;HURRICANE ANNA, JlJLY 20-24, 1961 Preliminary Report Anna, the first hurricane of the 1961 season i n

  1. SUMMARY OF 2014 ATLANTIC TROPICAL CYCLONE ACTIVITY AND VERIFICATION OF AUTHORS' SEASONAL AND TWO-WEEK FORECASTS

    E-Print Network [OSTI]

    Schumacher, Russ

    .0) 1 1 1 1 2 100% Major Hurricane Days (MHD) (3.9) 2 3 3 3 3.50 90% Accumulated Cyclone Energy (ACE measures such as Accumulated Cyclone Energy (ACE) and Net Tropical Cyclone (NTC) activity. We issued six. Integrated measures such as Net Tropical Cyclone (NTC) activity and Accumulated Cyclone Energy (ACE) were

  2. Hurricanes and Society KPRC Hurricane Expert

    E-Print Network [OSTI]

    ;Miami growth since Hurricane Andrew · $100B+ new construcEon ­ mostly outside where to wind at considerably less intensity than Andrew or 1926 hurricane · FortunateHurricanes and Society Bill Read KPRC Hurricane Expert Former Director NHC Former MIC NWS HGX

  3. Petroleum industry assists hurricane relief

    SciTech Connect (OSTI)

    Not Available

    1992-09-14T23:59:59.000Z

    This paper reports that the petroleum industry is aiding victims of last month's Hurricane Andrew with cash, clothing, food, water, and other supplies. Cash contributions announced as of last week totaled more than $2.7 million for distribution in South Florida and South Louisiana. Petroleum industry employees were collecting relief items such as bottled water and diapers for distribution in those areas.

  4. Robbie Berg Hurricane Specialist

    E-Print Network [OSTI]

    Robbie Berg Hurricane Specialist National Hurricane Center Robbie Berg is a hurricane specialist at NOAA's National Hurricane Center in Miami. Berg received his Bachelor of Science in Meteorology as well. While there, he did research on the air-sea interaction in hurricanes. Berg joined the National

  5. Hurricane Preparedness for Livestock

    E-Print Network [OSTI]

    Paschal, Joseph C.

    2002-08-12T23:59:59.000Z

    hurricane occur. E-166 8-02 Hurricane Preparedness for Livestock Joe C. Paschal Professor and Extension Livestock Specialist The Texas A&M University System ...

  6. A GUIDE TO HELP CHILDREN COPE WITH THE PSYCHOLOGICAL EFFECTS OF A HURRICANE

    E-Print Network [OSTI]

    Shyu, Mei-Ling

    1 A GUIDE TO HELP CHILDREN COPE WITH THE PSYCHOLOGICAL EFFECTS OF A HURRICANE Annette M. La Greca by the deadly hurricane season of 2004 by Annette La Greca (www.psy.miami/faculty/alagreca) and Scott Sevin and staff at the National Hurricane Center for your hard work and selfless devotion to saving lives

  7. Hurricane slams gulf operations

    SciTech Connect (OSTI)

    Not Available

    1992-09-07T23:59:59.000Z

    This paper reports that reports of damage by Hurricane Andrew escalated last week as operators stepped up inspections of oil and gas installations in the Gulf of Mexico. By midweek, companies operating in the gulf and South Louisiana were beginning to agree that earlier assessments of damage only scratched the surface. Damage reports included scores of lost, toppled, or crippled platforms, pipeline ruptures, and oil slicks. By midweek the U.S. coast Guard had received reports of 79 oil spills. Even platforms capable of resuming production in some instances were begin curtailed because of damaged pipelines. Offshore service companies the another 2-4 weeks could be needed to fully assess Andrew's wrath. Lack of personnel and equipment was slowing damage assessment and repair.

  8. Hurricane Katrina: An Environmental Perspective

    E-Print Network [OSTI]

    Robbins, Jessica

    2011-01-01T23:59:59.000Z

    B S J Jessica Robbins Hurricane Katrina, the massive stormpuzzling over exactly why Hurricane Katrina became such aevident in the wake of the hurricane (Handwerk, 2005). The

  9. DISASTER MEDICINE/ORIGINAL RESEARCH Burden of Disease and Health Status Among Hurricane Katrina

    E-Print Network [OSTI]

    Scharfstein, Daniel

    DISASTER MEDICINE/ORIGINAL RESEARCH Burden of Disease and Health Status Among Hurricane Katrina: Anecdotal evidence suggests that the population displaced to shelters from Hurricane Katrina had in Louisiana 2 weeks after landfall of Hurricane Katrina. In stage 1, shelters with a population of more than

  10. SUMMARY OF 2013 ATLANTIC TROPICAL CYCLONE ACTIVITY AND VERIFICATION OF AUTHORS' SEASONAL AND TWO-WEEK FORECASTS

    E-Print Network [OSTI]

    . In addition, Accumulated Cyclone Energy (ACE) was the lowest that has been observed since 1983. This year Cyclone Energy (ACE) (92) 165 165 142 30 32% Net Tropical Cyclone Activity (NTC) (103%) 175 175 150 43 42SUMMARY OF 2013 ATLANTIC TROPICAL CYCLONE ACTIVITY AND VERIFICATION OF AUTHORS' SEASONAL AND TWO

  11. Service Assessment HURRICANE FRAN

    E-Print Network [OSTI]

    Service Assessment HURRICANE FRAN August 28 - September 8, 1996 U.S.Department of Commerce National-12 Visible, 753 a.m. EDT, September4, 1996. #12;Service Assessment HURRICANE FRAN August 28 Bureau Hurricane Series ERRATA NOTICE One or more conditions of the original document may affect

  12. Editor's Note: Hurricane Sandy,

    E-Print Network [OSTI]

    Rosen, Jay

    Editor's Note: Hurricane Sandy, also known as Super Storm Sandy, Tropi- cal Storm Sandy, or just to protect the public, vital infrastructure, and the environment. Hurricane Sandy When Joseph Bruno, New York- nuity that the city demonstrated in the wake of Hurricane Sandy. So when he addressed a forum at New

  13. Responds to Hurricane Sandy

    E-Print Network [OSTI]

    US Army Corps of Engineers

    Army Corps Responds to Hurricane Sandy January Edition 2013 U.S. Army Corps of Engineers, New York 1 Table of Contents Page 2 Commander's Reflections Page 3 Hurricane Sandy batters NY District's AOR Contingency Plan into action for first time on Long Island Page 14 Corps personnel assist Hurricane Sandy

  14. Investigation of contemporary problems and practices in post-hurricane reconstruction in the commercial sector of the southeast region of the United States

    E-Print Network [OSTI]

    Bhattacharjee, Suchayita S.

    2009-05-15T23:59:59.000Z

    The thesis addresses the problems faced by contractors during the recovery and rebuilding process after hurricanes that struck the southeast region of the United States in 2004-2005 hurricane seasons. It also deals with the practices they normally...

  15. 772 www.thelancet.com/neurology Vol 7 September 2008 In the 3 years since Hurricane Katrina,

    E-Print Network [OSTI]

    772 www.thelancet.com/neurology Vol 7 September 2008 In Context In the 3 years since Hurricane was in California when the hurricane hit. His home was flooded and he could not return for 6 weeks. "A handful the hurricane. In most disasters, the poor are hit hardest, and Katrina was no exception. All of New Orleans

  16. Hurricane shuts down gulf activity

    SciTech Connect (OSTI)

    Koen, A.D.

    1992-08-31T23:59:59.000Z

    This paper reports that producers in the Gulf of Mexico and plant operators in South Louisiana last week were checking for damage wrought by Hurricane Andrew. In its wake Andrew left evacuated rigs and platforms in the gulf and shuttered plants across a wide swath of the Gulf Coast. Operations were beginning to return to normal late last week. Not all gulf operators, especially in the central gulf, expected to return to offshore facilities. And even producers able to book helicopters did not expect to be able to fully assess damage to all offshore installations before the weekend. MMS officials in Washington estimated that 37,500 offshore workers were evacuated from 700 oil and gas installations on the gulf's Outer Continental Shelf. Gulf oil and gas wells account for about 800,000 b/d of oil and one fourth of total U.S. gas production. MMS was awaiting an assessment of hurricane damage before estimating how soon and how much gulf oil and gas production would be restored.

  17. Predicting Hurricanes with Supercomputers | Argonne National...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Predicting Hurricanes with Supercomputers Share Description Hurricane Emily, formed in the Atlantic Ocean on July 10, 2005, was the strongest hurricane ever to form before August....

  18. Global Warming Systemically Caused Hurricane Sandy

    E-Print Network [OSTI]

    Lakoff, George

    2012-01-01T23:59:59.000Z

    Warming Systemically Caused Hurricane Sandy by George Lakoffsystemically caused Hurricane Sandy -- and the Midwestenormous energy and size of Hurricane Sandy, as well as the

  19. Battling the effects of strong winds In the United States today, tornadoes and hurricanes kill more

    E-Print Network [OSTI]

    Kareem, Ahsan

    Construction, and a host of major oil companies, KareemÕs work has already brought about improve- ments becomes too great to bear. The death toll for the 1998 hurricane season topped 12,000, the deadliest year

  20. Think Nutrition During the Hurricane Season

    E-Print Network [OSTI]

    Watson, Craig A.

    of water per person daily for drinking, and additional water for cooking. Filling the tub with water vegetables and soups · canned 3 bean salad, mushrooms · salsa · spaghetti sauce · purchase just before storm, chili, corned beef hash, ravioli, beans (kidney, lima, black eyed peas, lentils, etc.) · peanut butter

  1. Preparing for Hurricane Season | Department of Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah ProjectPRE-AWARD ACCOUNTINGQuantitative hiRXand ThePreparing for

  2. On Estimating Hurricane Return Periods

    E-Print Network [OSTI]

    Emanuel, Kerry Andrew

    Interest in hurricane risk usually focuses on landfalling events of the highest intensity, which cause a disproportionate amount of hurricane-related damage. Yet assessing the long-term risk of the most intense landfalling ...

  3. Service Assessment Hurricane Floyd Floods

    E-Print Network [OSTI]

    Service Assessment Hurricane Floyd Floods of September 1999 mm r u, /"' r U.S.DEPARTMENTOF COMMERCE: Hurricane Floyd Floods of September 1999. Aerial view of Grifton, North Carolina, with flooding from the Neuse River. (Photograph courtesy of the U.S. Army Corps of Engineers.) #12;Service Assessment Hurricane

  4. , SdrviceAssessment Hurricane Katrina

    E-Print Network [OSTI]

    , SdrviceAssessment c . Hurricane Katrina August 23-31,2005 b U.S. DEPARTMENT OF COMMERCE National;Cover: NOAA-15 satellite image of HurricaneKatrina at 7:47 a.m. Central Daylight Time, August 29,2005,just east of New Orleans, Louisiana. #12;ServiceAssessment Hurricane Katrina August 23-31,2005 June

  5. Hurricane Sandy 2012 EMERGENCY PREPAREDNESS

    E-Print Network [OSTI]

    Hanson, Stephen José

    Hurricane Sandy 2012 EMERGENCY PREPAREDNESS TASK FORCE REPORT #12;Publication Date: March 2013 EMERGENCY PREPAREDNESS TASK FORCE REPORT HURRICANE SANDY 2012 This report was prepared at the direction to directions received from you to investigate and report on the devastating impacts Hurricane Sandy had

  6. Perceptions on Hurricane Information and Tracking Maps

    E-Print Network [OSTI]

    Wu, Hao-Che Tristan

    2013-11-18T23:59:59.000Z

    decision context is well understood; the National Hurricane Center (NHC) issues hurricane forecast advisories every 6 hours until a hurricane turns into a tropical depression. Emergency managers and residents in the risk area are most likely to make...

  7. DEPARTMENT OF BIOLOGY Hurricane Savitz Hits Florida

    E-Print Network [OSTI]

    Kelly, John J.

    DEPARTMENT OF BIOLOGY Hurricane Savitz Hits Florida (Photo Credit: Michael Masellis, Biology Major Hurricane Savitz Hits Florida Future Science Teachers' Club Recent Grant Successes Forthcoming Publications

  8. HEMS, a Hurricane Evacuation Management System

    E-Print Network [OSTI]

    Cardei, Mihaela

    HEMS, a Hurricane Evacuation Management System Arny Ambrose, Mihaela Cardei, and Ionut Cardei, there has been a high incidence of hurricanes over the past decade. Before a hurricane makes landfall and challenges associated with hurricane evacuation of health care centers, such as nursing homes. Then, we

  9. Patient-centric Hurricane Evacuation Management System

    E-Print Network [OSTI]

    Cardei, Mihaela

    Patient-centric Hurricane Evacuation Management System Arny Ambrose, Mihaela Cardei, and Ionut--In the United States, there has been a high incidence of hurricanes over the past decade. Before a hurricane investigate the characteristics and challenges associated with hurricane evacuation of health care centers

  10. The Forgotten Storm: The Implications of Agenda Setting on Hurricane Ike‘s National Relevance

    E-Print Network [OSTI]

    Sudduth, Amanda Michelle

    2012-10-19T23:59:59.000Z

    , the national media's attention was quickly diverted by the financial crisis and the presidential election last week” (Stelter, 2008, p. 8). Hurricane Ike’s timing was quite different from Hurricane Katrina’s timeline in that no other national tragedies... & Armstrong, 1998). In a study conducted by Neuman et al., (1992), the evaluations of mass audience members revealed that respondents believed newspapers to provide the most factual news above all other mediums. “Moreover, print media permit the audience...

  11. Before, Now, and After: Assessing Hurricane Katrina Relief

    E-Print Network [OSTI]

    Swanson, David A; Forgette, Richard; Dettry, Bryan; Van Boening, Mark

    2009-01-01T23:59:59.000Z

    to a disaster. Keywords Hurricane Katrina Disaster reliefto most measures, Hurricane Katrina was the greatest naturalfor policy in response to Hurricane Katrina. Presented at

  12. After a Disaster: Lessons in Survey Methodology from Hurricane Katrina

    E-Print Network [OSTI]

    Swanson, David A; Henderson, Tammy; Sirois, Maria; Chen, Angela; Airriess, Christopher; Banks, David

    2009-01-01T23:59:59.000Z

    of Labor. (2005). Effects of Hurricane Katrina on local areaSurvey Methodology from Hurricane Katrina Tammy L. Hendersonto study the impact of Hurricane Katrina. The current

  13. Before, Now, and After: Assessing Hurricane Katrina Relief

    E-Print Network [OSTI]

    Swanson, David A; Forgette, Richard; Dettry, Bryan; Van Boening, Mark

    2009-01-01T23:59:59.000Z

    most costly disaster, Hurricane Andrew. 1 Disasters presentin the aftermath of Hurricane Andrew. Another recent studyR. Forgette et al. Hurricane Andrew. More recently, Hurlbert

  14. HURRICANES AND TORNADOES What should I know about hurricanes?

    E-Print Network [OSTI]

    Fernandez, Eduardo

    to local newspapers, radio and television stations, the FAU Webmaster and the hurricane hotline that serves (207-260 mph) Well-built homes leveled. F5 INCREDIBLE (261-318 mph) Homes lifted off foundations

  15. HURRICANES AND TORNADOES What should I know about hurricanes?

    E-Print Network [OSTI]

    Fernandez, Eduardo

    by the University to local newspapers, radio and television stations, the FAU Webmaster and the hurricane hotline lifted off foundations and thrown. Cars thrown as far as 100 meters. What is a tornado watch

  16. Microsoft Word - HurricaneComp0508-022609.doc

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2005 and 2008 Hurricanes ... 14 Figure 7. Natural Gas Spot Prices during 2005 and 2008 Hurricanes ... 17 Figure 8....

  17. Robust Hurricane Surge Response Functions

    E-Print Network [OSTI]

    Udoh, Ikpoto 1980-

    2012-11-30T23:59:59.000Z

    To adequately evaluate risk associated hurricane flooding, numerous surge events must be considered, and the cost associated with high resolution numerical modeling for several storms is excessive. The Joint Probability Method with Optimal Sampling...

  18. HURRICANE AND SEVERE WEATHER CHECKLIST

    E-Print Network [OSTI]

    Jawitz, James W.

    just prior to a hurricane. g. Batteries should be kept fully charged. An extra or spare battery would you cannot remove, such as tillers, wheels, booms, etc. f. Seal all openings (air conditioning duct

  19. The human side of Hurricane Andrew

    SciTech Connect (OSTI)

    Marshall, R.; Callander, R.C.

    1994-12-31T23:59:59.000Z

    This paper examines the long-term psychological effects of the nation`s worst natural disaster on the employees of the Turkey Point nuclear power plant. It also examines the efforts made by plant personnel and company volunteers to aid employees` families affected by the storm. Despite significant damage at the plant, unit 4 was returned to service 5 weeks after the August 24, 1992, hurricane. Unit 3 was returned to service on December 3, 1992. Unit 3 was originally scheduled to start a refueling outage the day Hurricane Andrew struck. While plant personnel are still recovering from Andrew`s impact, the plant`s performance has never been better. On May 26, 1993, the plant completed a record-breaking 46-day refueling outage - 7 days ahead of schedule and $3 million under budget. Turkey Point`s recovery, return to service, and superior performance would not have been possible without the efforts of hundreds of employees who put their personal tragedies aside and focused on the common goal of the plant`s operation. To help employees with rebuilding their lives, the plant launched extensive assistance programs. Although the plant returned to normal operation, plant personnel continue to struggle in a community whose infrastructure (homes, schools, stores, etc.) have been almost eliminated.

  20. How Hurricane Attributes Determine the Extent of Environmental Effects: Multiple Hurricanes and Different Coastal Systems

    E-Print Network [OSTI]

    Mallin, Michael

    How Hurricane Attributes Determine the Extent of Environmental Effects: Multiple Hurricanes Program, 1926 Victoria Avenue, Fort Myers, Florida 33901 ABSTRACT: The most recent spate of hurricanes characteristics of hurricanes interact with human land use to lead to various types and degrees of environmental

  1. Predicting landfalling hurricane numbers from basin hurricane numbers: basic statistical analysis

    E-Print Network [OSTI]

    Laepple, T; Penzer, J; Bellone, E; Nzerem, K; Laepple, Thomas; Jewson, Stephen; Penzer, Jeremy; Bellone, Enrica; Nzerem, Kechi

    2007-01-01T23:59:59.000Z

    One possible method for predicting landfalling hurricane numbers is to first predict the number of hurricanes in the basin and then convert that prediction to a prediction of landfalling hurricane numbers using an estimated proportion. Should this work better than just predicting landfalling hurricane numbers directly? We perform a basic statistical analysis of this question in the context of a simple abstract model.

  2. The GFDL Hurricane Model: Interview with Morris Bender The GFDL Hurricane Model

    E-Print Network [OSTI]

    in near-real time. The first near-real time forecast was for Hurricane Andrew. And, the model was actually run here but it was really the first forecast model to get Hurricane Andrew missing New Orleans. AndThe GFDL Hurricane Model: Interview with Morris Bender The GFDL Hurricane Model Interview

  3. Forecasting OctoberNovember Caribbean hurricane days Philip J. Klotzbach1

    E-Print Network [OSTI]

    Gray, William

    Forecasting October­November Caribbean hurricane days Philip J. Klotzbach1 Received 22 April 2011; revised 1 July 2011; accepted 11 July 2011; published 30 September 2011. [1] October­November Caribbean. Largescale climate parameters associated with active late seasons in the Caribbean are investigated

  4. Hurricanes: Their physics and relationship to climate

    E-Print Network [OSTI]

    expansion Adiabatic expansion Isothermal compression Adiabatic compression Note: Last leg is not adiabatic:Intensity Metric: Hurricane PowerHurricane Power (Power Dissipation Index)(Power Dissipation Index) 0 3 maxPDI V dt

  5. NATIONAL HURRICANE CENTER TROPICAL CYCLONE REPORT

    E-Print Network [OSTI]

    Hurricane Ingrid in the Bay of Campeche on 12 September, the southern portion became less pronounced after

  6. Hurricane Sandy Situation Reports (October & November 2012)

    Broader source: Energy.gov [DOE]

    Hurricane Sandy situation reports detail the storm's impacts and the restoration activities being taken by the energy sector.

  7. Aerodynamic Models for Hurricanes III. Modeling hurricane boundary layer

    E-Print Network [OSTI]

    Leonov, Arkady I

    2008-01-01T23:59:59.000Z

    The third paper of the series (see previous ones in Refs.[1-2]) discusses basic physicalprocesses in the (quasi-) steady hurricane boundary layer (HBL), develops an approximate airflow model, establishes the HBL structure, and presents integral balance relations for dynamic and thermodynamic variables in HBL. Models of evaporation and condensation are developed, where the condensation is treated similarly to the slow combustion theory. A turbulent approximation for the lower sub-layer of HBL is applied to the sea-air interaction to establish the observed increase in angular momentum in the outer region of HBL.A closed set of balance relations has been obtained. Simple analytical solution of the set yields expressions for the basic dynamic variables - maximal tangential and radial velocities in hurricane, maximal vertical speed in eye wall, the affinity speed of hurricane travel, and the maximal temperature increase after condensation. Estimated values of the variables seem to be realistic. An attempt is also ...

  8. Visualization Fusion: Hurricane Isabel Dataset Naeem Shareef

    E-Print Network [OSTI]

    Crawfis, Roger

    Visualization Fusion: Hurricane Isabel Dataset Ming Jiang Naeem Shareef Caixia Zhang Roger Crawfis in developing visualization techniques for the Hurricane Isabel dataset is to engender better understand- ing of the underlying physical phenomenon. We want the visualization to produce novel insights into how a hurricane

  9. DISSERTATION FORMATION OF THE HURRICANE EYE

    E-Print Network [OSTI]

    Schubert, Wayne H.

    DISSERTATION FORMATION OF THE HURRICANE EYE Submitted by Jonathan L. Vigh Department of Atmospheric OF THE HURRICANE EYE BE ACCEPTED AS FULFILLING IN PART REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY. Schubert Department Head: Richard H. Johnson ii #12;ABSTRACT OF DISSERTATION FORMATION OF THE HURRICANE EYE

  10. A Universal Hurricane Frequency Function

    E-Print Network [OSTI]

    Ehrlich, Robert

    2010-01-01T23:59:59.000Z

    Evidence is provided that the global distribution of tropical hurricanes is principally determined by a universal function H of a single variable z that in turn is expressible in terms of the local sea surface temperature and latitude. The data-driven model presented here carries stark implications for the large increased numbers of hurricanes which it predicts for a warmer world. Moreover, the rise in recent decades in the numbers of hurricanes in the Atlantic, but not the Pacific basin, is shown to have a simple explanation in terms of the specific form of H(z), which yields larger percentage increases when a fixed increase in sea surface temperature occurs at higher latitudes and lower temperatures.

  11. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM SEPTEMBER 15 SEPTEMBER 28, 2010

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the second year that we have issued shorter-term forecasts of tropical cyclone (TC) activity starting such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  12. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM SEPTEMBER 27 OCTOBER 10, 2013

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the fifth year that we have issued shorter-term forecasts of tropical cyclone (TC) activity starting such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  13. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 3 AUGUST 16, 2012

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the fourth year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  14. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM OCTOBER 12 OCTOBER 25, 2012

    E-Print Network [OSTI]

    Gray, William

    to predict with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined This is the fourth year that we have issued shorter-term forecasts of tropical cyclone (TC) activity starting for individual event parameters such as named storms and hurricanes. We issue forecasts for ACE using three

  15. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM SEPTEMBER 28 OCTOBER 11, 2012

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the fourth year that we have issued shorter-term forecasts of tropical cyclone (TC) activity starting such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  16. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM SEPTEMBER 13 SEPTEMBER 26, 2013

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the fifth year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  17. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 18 AUGUST 31, 2010

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the second year that we have issued shorter-term forecasts of tropical cyclone (TC) activity starting such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  18. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM OCTOBER 11 OCTOBER 24, 2013

    E-Print Network [OSTI]

    Gray, William

    to predict with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined This is the fifth year that we have issued shorter-term forecasts of tropical cyclone (TC) activity starting for individual event parameters such as named storms and hurricanes. We issue forecasts for ACE using three

  19. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 31 SEPTEMBER 13, 2012

    E-Print Network [OSTI]

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the fourth year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  20. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 17 AUGUST 30, 2012

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the fourth year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  1. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 4 AUGUST 17, 2010

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the second year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  2. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM SEPTEMBER 29 OCTOBER 12, 2010

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the second year that we have issued shorter-term forecasts of tropical cyclone (TC) activity starting such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  3. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM SEPTEMBER 11 SEPTEMBER 24, 2014

    E-Print Network [OSTI]

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the sixth year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  4. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 30 SEPTEMBER 12, 2013

    E-Print Network [OSTI]

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the fifth year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  5. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 31 SEPTEMBER 13, 2011

    E-Print Network [OSTI]

    Birner, Thomas

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the third year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  6. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 28 SEPTEMBER 10, 2014

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the sixth year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  7. COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM OCTOBER 13 OCTOBER 26, 2010

    E-Print Network [OSTI]

    Gray, William

    with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the second year that we have issued shorter-term forecasts of tropical cyclone (TC) activity starting such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

  8. Typhoon Maemi and Hurricane Katrina: Impacts and Aftermath

    E-Print Network [OSTI]

    Julien, Pierre Y.

    1 Typhoon Maemi and Hurricane Katrina: Impacts and Aftermath Pierre Julien Un Ji Department failure after Typhoon Maemi (Yonhap) Hurricane Katrina: August 29, 2005Hurricane Katrina: August 29, 2005 Florida New Orleans · Mississippi Hurricane Katrina Track and Characteristics Aug. 29th 2005 Hurricane

  9. Tropical Cyclone Report Hurricane Irene

    E-Print Network [OSTI]

    and did not affect the island. The hurricane moved very close to the north coast of Hispaniola on 23's circulation with the high terrain of Hispaniola likely delayed additional intensification. As it moved away from Hispaniola early on 24 August, however, Irene began to strengthen. It became a category 3

  10. Hurricane Preparedness & Resource Guide For Individuals and Families

    E-Print Network [OSTI]

    Miles, Will

    Hurricane Preparedness & Resource Guide For Individuals and Families This material was developed Health Services, Inc. (7/09) Hurricane Preparedness and Resource Guide | 2 Table of Contents Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Defining a Hurricane

  11. Hurricane Katrina Wind Investigation Report

    SciTech Connect (OSTI)

    Desjarlais, A. O.

    2007-08-15T23:59:59.000Z

    This investigation of roof damage caused by Hurricane Katrina is a joint effort of the Roofing Industry Committee on Weather Issues, Inc. (RICOWI) and the Oak Ridge National Laboratory/U.S. Department of Energy (ORNL/DOE). The Wind Investigation Program (WIP) was initiated in 1996. Hurricane damage that met the criteria of a major windstorm event did not materialize until Hurricanes Charley and Ivan occurred in August 2004. Hurricane Katrina presented a third opportunity for a wind damage investigation in August 29, 2005. The major objectives of the WIP are as follows: (1) to investigate the field performance of roofing assemblies after major wind events; (2) to factually describe roofing assembly performance and modes of failure; and (3) to formally report results of the investigations and damage modes for substantial wind speeds The goal of the WIP is to perform unbiased, detailed investigations by credible personnel from the roofing industry, the insurance industry, and academia. Data from these investigations will, it is hoped, lead to overall improvement in roofing products, systems, roofing application, and durability and a reduction in losses, which may lead to lower overall costs to the public. This report documents the results of an extensive and well-planned investigative effort. The following program changes were implemented as a result of the lessons learned during the Hurricane Charley and Ivan investigations: (1) A logistics team was deployed to damage areas immediately following landfall; (2) Aerial surveillance--imperative to target wind damage areas--was conducted; (3) Investigation teams were in place within 8 days; (4) Teams collected more detailed data; and (5) Teams took improved photographs and completed more detailed photo logs. Participating associations reviewed the results and lessons learned from the previous investigations and many have taken the following actions: (1) Moved forward with recommendations for new installation procedures; (2) Updated and improved application guidelines and manuals from associations and manufacturers; (3) Launched certified product installer programs; and (4) Submitted building code changes to improve product installation. Estimated wind speeds at the damage locations came from simulated hurricane models prepared by Applied Research Associates of Raleigh, North Carolina. A dynamic hurricane wind field model was calibrated to actual wind speeds measured at 12 inland and offshore stations. The maximum estimated peak gust wind speeds in Katrina were in the 120-130 mph range. Hurricane Katrina made landfall near Grand Isle, Louisiana, and traveled almost due north across the city of New Orleans. Hurricane winds hammered the coastline from Houma, Louisiana, to Pensacola, Florida. The severe flooding problems in New Orleans made it almost impossible for the investigating teams to function inside the city. Thus the WIP investigations were all conducted in areas east of the city. The six teams covered the coastal areas from Bay Saint Louis, Mississippi, on the west to Pascagoula, Mississippi, on the east. Six teams involving a total of 25 persons documented damage to both low slope and steep slope roofing systems. The teams collected specific information on each building examined, including type of structure (use or occupancy), wall construction, roof type, roof slope, building dimensions, roof deck, insulation, construction, and method of roof attachment. In addition, the teams noted terrain exposure and the estimated wind speeds at the building site from the Katrina wind speed map. With each team member assigned a specific duty, they described the damage in detail and illustrated important features with numerous color photos. Where possible, the points of damage initiation were identified and damage propagation described. Because the wind speeds in Katrina at landfall, where the investigations took place, were less than code-specified design speeds, one would expect roof damage to be minimal. One team speculated that damage to all roofs in the area they examined was les

  12. SUMMARY OF REVISED TORNADO, HURRICANE AND EXTREME STRAIGHT WIND...

    Office of Environmental Management (EM)

    SUMMARY OF REVISED TORNADO, HURRICANE AND EXTREME STRAIGHT WIND CHARACTERISTICS AT NUCLEAR FACILITY SITES SUMMARY OF REVISED TORNADO, HURRICANE AND EXTREME STRAIGHT WIND...

  13. Are You Ready? A Texas Hurricane

    E-Print Network [OSTI]

    Are You Ready? A Texas Hurricane Survival Guide evacuation information Evacuation information ___ plastic garbage bags and ties ___ liquid soap, detergent, disinfectant, household chlorine bleach

  14. The 2006 North Atlantic Hurricane Season A Climate Perspective

    E-Print Network [OSTI]

    2001 1995 1992 1980 1983 1989 1986 ACE(%ofMedian) NOAA's Accumulated Cyclone Energy (ACE) Index 75 117 0 50 100 150 200 250 300 2006 May August 2006NOAA Outlooks Fig.2.NOAA'sAccumulatedCycloneEnergy(ACENational OceanicandAtmospheric Administration's(NOAA's)Accu- mulatedCycloneEnergy(ACE) index (Bell et al. 2000).TheACE

  15. The 2008 North Atlantic Hurricane Season A Climate Perspective

    E-Print Network [OSTI]

    ).The1950- 2000 averages are 11 NS, six H, and two MH. For 2008, theAccumulated CycloneEnergy(ACE;2 16 NS, 6-9 H, 2-5 MH, and anACE range of 100%-210% of the median (red bars, Fig. 2). The updated-10 H, 3-6 MH, and an ACE range of 140%-230% of the median. NOAAalsoincreasedtheprobabilityofan above

  16. Energy SWAT Team Prepares for Hurricane Season | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 FederalTexas Energy Incentive Programs,EnergyAugustPublicEnergy

  17. Energy SWAT Team Prepares for Hurricane Season | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,OfficeEnd of Year 2010 SNFEnergy Policy ActEnergy |Division, OAPM |Energy

  18. Energy Resources for Hurricane Season | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan Departmentof EnergyPublic Law of the 109th Congress:

  19. Energy Risk Predictions for the 2015 Hurricane Season (June 2015) |

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan Departmentof EnergyPublic Law of the 109th Congress:Tornado

  20. President Obama Visits DOE to Discuss Preparations for Hurricane Season |

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNS Electric, Inc.DepartmentFleetEnergy view of additiveDepartment of

  1. DOE Prepares for the 2007 Hurricane Season | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout »Department of2 DOEDepartment ofPosting Practices #1

  2. JLab Prepares for 2015 Hurricane Season | Jefferson Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12 Investigation PeerNOON 2004 FebruaryTimothy Hallman,

  3. Department of Energy Prepares for Hurricane Season | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you0andEnergyGlobal Nuclearof a SecondSupport Maine WindViolations

  4. Aerodynamic Models For Hurricanes I. Model description and horizontal motion of hurricane

    E-Print Network [OSTI]

    Leonov, Arkady I

    2008-01-01T23:59:59.000Z

    Aerodynamic models are developed to describe coherent structures and transport processes in hurricanes moving over open seas. The models consist of the lower boundary layer and upper adiabatic layer. Except friction at the air/sea interface,proposed modeling avoids the common turbulent approximations while using explicitly or implicitly basic stability constraints. The models analyze dynamics of upper hurricane adiabatic layer, dynamics and transport processes in hurricane boundary layer, and genesis and maturing of hurricane. The proposed modeling provides a rude enough but consistent analytical description of basic processes in hurricanes. The present paper qualitatively describes the model of mature hurricane, briefly discusses the basic thermodynamic relations and aerodynamic equations, and establishes the principles of horizontal motion for mature hurricane.

  5. Gulf Coast Hurricanes Situation Report #39

    SciTech Connect (OSTI)

    none,

    2005-11-09T23:59:59.000Z

    There are 49,300 customers without power in Florida as of 7:00 AM EST 11/9 due to Hurricane Wilma, down from a peak of about 3.6 million customers. Currently, less than 1 percent of the customers are without power in the state. This is the last report we will due on outages due to Hurricane Wilma.

  6. TECHNICAL NOTES Relation between SaffirSimpson Hurricane

    E-Print Network [OSTI]

    Kareem, Ahsan

    TECHNICAL NOTES Relation between Saffir­Simpson Hurricane Scale Wind Speeds and Peak 3-s Gust Abstract: The Saffir­Simpson scale for categorizing hurricane intensity and damage potential is increasingly being used by hurricane forecasters and emergency managers. The hurricane intensity categories

  7. Hurricane Earl, September 1, 2010/NOAA Tropical Cyclones

    E-Print Network [OSTI]

    Fang, Yuguang "Michael"

    Hurricane Earl, September 1, 2010/NOAA Tropical Cyclones A PREPAREDNESS GUIDE U.S. DEPARTMENT, 6 of which became hurricanes East Pacific Ocean: 15 tropical storms, 8 of which became hurricanes Central Pacific Ocean: 4 tropical storms, 2 of which became hurricanes Over a typical 2-year period, the U

  8. National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series

    E-Print Network [OSTI]

    #12;#12;National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series ERRATA Beltsville, MD 20704-1387 November 6,2007 #12;FRELLMINARY REPORT ON HURRICANE HANNAH SEPJCEMBEIi 28-OCTOBER 6, 1959 !Phe Weather Bureau Hurricane Warning Center at M i d issued the f i r a t advisory on Hurricane

  9. Typhoon Maemi and Hurricane Katrina: Impacts and Aftermath

    E-Print Network [OSTI]

    Julien, Pierre Y.

    1 Typhoon Maemi and Hurricane Katrina: Impacts and Aftermath Pierre Julien Un Ji Department failure after Typhoon Maemi (Yonhap) Hurricane Katrina: August 29, 2005 · Damages: $10B - $120B · Deaths · Mississippi Hurricane Katrina Track and Characteristics Aug. 29th 2005 Hurricane (Category 4) Aug. 28th 2003

  10. 1946-2010: Worldwide Hurricane Activity Les Hatton

    E-Print Network [OSTI]

    Hatton, Les

    1946-2010: Worldwide Hurricane Activity Les Hatton March 5, 2011 Abstract This paper complements Storms, Hurricanes and major Hurricanes, (3 or larger on the Saffir- Sampson scale). 2010 has been one to be very active. Keywords: Severe weather event frequency, Hurricanes, global warming 1 Document revision

  11. Cross-Scale Responses of Biodiversity to Hurricane and

    E-Print Network [OSTI]

    Willig, Michael

    Cross-Scale Responses of Biodiversity to Hurricane and Anthropogenic Disturbance in a Tropical and Georges, as well as by patterns of historic land use. Hurricane-induced changes in spatial organization changed after the hurricanes and were significantly different between Hurricanes Hugo and Georges. Alpha

  12. Report Comparing the Impacts of Northeast Hurricanes Now Available

    Broader source: Energy.gov [DOE]

    The report "Comparing the Impacts of Northeast Hurricanes on Energy Infrastructure" is now available for download.

  13. What is a Hurricane? Tropical system with maximum sustained

    E-Print Network [OSTI]

    Meyers, Steven D.

    Andrew-Category 4· Category 4 Hurricane - Winds 131-155 mph. Wall failures in homes and complete roofHurricane 101 #12;What is a Hurricane? · Tropical system with maximum sustained surface wind of 74 mph or greater. A hurricane is the worst and the strongest of all tropical systems. · Also known

  14. Joint NOAA, Navy, NASA Hurricane Test Bed Terms of Reference

    E-Print Network [OSTI]

    activity funded by the USWRP and is established to accelerate the technology infusion focused on hurricane

  15. Archiving Disaster: A Comparative Study of September 11, 2001 and Hurricane Katrina

    E-Print Network [OSTI]

    Rivard, Courtney J.

    2012-01-01T23:59:59.000Z

    1990). Garfield, Gail. “Hurricane Katrina: The Making ofAugust 2007): 55–74. ———. “Hurricane Katrina: The Making ofpapers/fedrecnov.htm. “Hurricane Digital Memory Bank:

  16. Assessing the Impacts of Different WRF Precipitation Physics in Hurricane Simulations

    E-Print Network [OSTI]

    Nasrollahi, Nasrin; AghaKouchak, Amir; Li, Jialun; Gao, Xiaogang; Hsu, Kuolin; Sorooshian, Soroosh

    2012-01-01T23:59:59.000Z

    early rapid intensification of Hurricane Emily to cumulussummary. NOAA/National Hurricane Center, 33 pp. [AvailableImpact of microphysics on hurricane track and intensity

  17. How a Navigation Channel Contributed to Most of the Flooding of New Orleans During Hurricane Katrina

    E-Print Network [OSTI]

    2009-01-01T23:59:59.000Z

    River Gulf Outlet, hurricane Katrina August 2005. ExpertRiver Gulf Outlet, hurricane Katrina August 2005. Expertlevee system following hurricane Katrina and the pathway

  18. Diel patterns of soil respiration in a tropical forest after Hurricane Wilma

    E-Print Network [OSTI]

    Vargas, Rodrigo; Allen, Michael F.

    2008-01-01T23:59:59.000Z

    and A. E. Lugo (1992), Hurricane Hugo - Damage to a Tropicaldecomposition following hurricane litter inputs in severalforest to 10 years of hurricanes and droughts, Ecol.

  19. An approach to the analysis of sea surface temperature data for utilization in hurricane forecasting in the Gulf of Mexico

    E-Print Network [OSTI]

    Taylor, James Glenn

    1966-01-01T23:59:59.000Z

    micro-oscillations along the track due to variations of central pressure, which are related to SST. Perlroth used 10-day composite charts in his study, and he stated that hurricane intensities are directly related to the SST field if the storm remains... the height of the hurricane season, no isotherms are indicated in the entire Gulf of Mexico. The 2. 5'F contour interval corresponds approximately to 1. 4'C, and probably only one isotherm would be in evidence on 10 the August chart in Figure 3 if a 1'C...

  20. An explanation for the lack of trend in the hurricane frequency

    E-Print Network [OSTI]

    Benestad, R E

    2006-01-01T23:59:59.000Z

    The proposition that the tropical cyclogenesis increases with the size of the warm pool, the area enclosed by the 26C SST isotherm, is tested by comparing the seasonal variation of the warm pool area with the seasonality of the number of tropical cyclones. A non-linear relationship of high statistical significance is found between the area and the number of cyclones, which may explain both why there is no linear trend in the number of cyclones over time and the recent upturn in the number of Atlantic hurricanes.

  1. Preparing for Hurricane Irene: Follow Local Direction

    Broader source: Energy.gov [DOE]

    Hurricane Irene is heading towards the East Coast, and while the extent of its impact is not yet known, those who may be effected (even inland areas), should get prepared and follow the direction...

  2. Quantifying hurricane wind speed with undersea sound

    E-Print Network [OSTI]

    Wilson, Joshua David

    2006-01-01T23:59:59.000Z

    Hurricanes, powerful storms with wind speeds that can exceed 80 m/s, are one of the most destructive natural disasters known to man. While current satellite technology has made it possible to effectively detect and track ...

  3. Inertial Particle Dynamics in a Hurricane

    E-Print Network [OSTI]

    Sapsis, Themistoklis

    The motion of inertial (i.e., finite-size) particles is analyzed in a three-dimensional unsteady simulation of Hurricane Isabel. As established recently, the long-term dynamics of inertial particles in a fluid is governed ...

  4. Is Your Plant Prepared for a Hurricane?

    SciTech Connect (OSTI)

    Not Available

    2006-07-01T23:59:59.000Z

    This DOE Industrial Technologies Program BestPractices fact sheet lists resources for manufacturers and steps they can take to prepare for the devastating winds and floods caused by hurricanes.

  5. Global Warming Effects on Us Hurricane Damage

    E-Print Network [OSTI]

    Emanuel, Kerry Andrew

    While many studies of the effects of global warming on hurricanes predict an increase in various metrics of Atlantic basin-wide activity, it is less clear that this signal will emerge from background noise in measures of ...

  6. Washington Post, Sept. 15, 2005 Communication Challenges After the Hurricane

    E-Print Network [OSTI]

    Peha, Jon M.

    Washington Post, Sept. 15, 2005 Communication Challenges After the Hurricane Jon M. Peha Many survivors of Hurricane Katrina who tried to call for rescue or medical assistance found that their cell

  7. Risk assessment of hurricane storm surge for New York City

    E-Print Network [OSTI]

    Lin, N,

    Hurricane storm surge presents a major hazard for the United States. We apply a model-based risk assessment methodology to investigate hurricane storm surge risk for New York City (NYC). We couple a statistical/deterministic ...

  8. Assessing United States hurricane damage under different environmental conditions

    E-Print Network [OSTI]

    Maheras, Anastasia Francis

    2012-01-01T23:59:59.000Z

    Hurricane activity between 1979 and 2011 was studied to determine damage statistics under different environmental conditions. Hurricanes cause billions of dollars of damage every year in the United States, but damage ...

  9. OCTOBER-NOVEMBER FORECAST FOR 2014 CARIBBEAN BASIN HURRICANE ACTIVITY

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    and hurricanes, but instead predicts both hurricane days and Accumulated Cyclone Energy (ACE). Typically, while) tropical cyclone (TC) activity. We have decided to issue this forecast, because Klotzbach (2011) has

  10. Multiyear Predictions of North Atlantic Hurricane Frequency: Promise and Limitations

    E-Print Network [OSTI]

    Wittenberg, Andrew

    Multiyear Predictions of North Atlantic Hurricane Frequency: Promise and Limitations GABRIEL A VILLARINI IIHR­Hydroscience & Engineering, The University of Iowa, Iowa City, Iowa ANDREW WITTENBERG Retrospective predictions of multiyear North Atlantic Ocean hurricane frequency are explored by applying

  11. Estimating Hurricane Outage and Damage Risk in Power Distribution System

    E-Print Network [OSTI]

    Han, Seung Ryong

    2009-05-15T23:59:59.000Z

    significantly impacted recently by Hurricanes Danny (1997), Georges (1998), Hanna (2002), Isidore (2002), Frances (2004), Ivan (2004), Jeanne (2004), Cindy (2005), Dennis (2005), and Katrina (2005). In addition to causing considerable direct repair... (Dennis, Ivan, and Katrina), and during 8 hurricanes in State C (Cindy, Dennis, Frances, Hanna, Isidore, Ivan, Jeanne, and Katrina). 3.1 Hurricane Characteristic Data In order to capture the characteristics of the wind field during a given hurricane...

  12. Robot-Assisted Bridge Inspection after Hurricane Ike

    E-Print Network [OSTI]

    Murphy, Robin R.

    Robot-Assisted Bridge Inspection after Hurricane Ike Robin R. Murphy Texas A&M College Station, TX in the Bolivar peninsula of Texas in the aftermath of Hurricane Ike. A preliminary domain analysis vehicle, unmanned underwater vehicle I. INTRODUCTION While hurricanes are associated with large scale

  13. Short communication Buried relic seawall mitigates Hurricane Sandy's impacts

    E-Print Network [OSTI]

    Lynett, Patrick

    Short communication Buried relic seawall mitigates Hurricane Sandy's impacts Jennifer L. Irish a Accepted 6 June 2013 Available online xxxx Keywords: Hurricanes Storm surge Waves Storm damage Seawalls of Hurricane Sandy revealed clear differences in patterns of the impact between two neighboring boroughs along

  14. Quantifying the Digital Traces of Hurricane Sandy on Flickr

    E-Print Network [OSTI]

    Stanley, H. Eugene

    Quantifying the Digital Traces of Hurricane Sandy on Flickr Tobias Preis1 *, Helen Susannah Moat1 social science. To investigate user attention to the Hurricane Sandy disaster in 2012, we analyze data to Hurricane Sandy bears a striking correlation to the atmospheric pressure in the US state New Jersey during

  15. National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series

    E-Print Network [OSTI]

    #12;#12;National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series ERRATA Beltsville, MD 20704-1387 November 6,2007 #12;YRKLXMINARY RET'OHT ON HURRICANE CLEO AUGUST 1.4-~9,1958 The existence af Hurricane "Cleo" i n the Atlantic som 900 milee e a ~ tof the Antflles (near 1 4 . 6 ~ ,47

  16. Mariner's Guide For Hurricane Awareness In The North Atlantic Basin

    E-Print Network [OSTI]

    Mariner's Guide For Hurricane Awareness In The North Atlantic Basin Eric J. Holweg eholweg.navy.mil/data/oceans/gulfstream.html Hurricane Preparedness & Tracks: http://www.fema.gov/fema/trop.htm Time Zone Conversions: http.....................................................................................................2 · Tropical Wave · Tropical Disturbance · Tropical Depression · Tropical Storm · Hurricane

  17. Hurricane Sandy Recovery Mission Commander's Update October 2013

    E-Print Network [OSTI]

    US Army Corps of Engineers

    Hurricane Sandy Recovery Mission Commander's Update October 2013 U.S. Army Corps of Engineers North Atlantic Division Partners and Stakeholders, As we approach the first anniversary of Hurricane Sandy in communities impacted by Hurricane Sandy, and this undertaking extends well beyond professional duty. For us

  18. Characteristics of meteorological parameters associated with Hurricane Isabel

    E-Print Network [OSTI]

    Singh, Ramesh P.

    Characteristics of meteorological parameters associated with Hurricane Isabel R. Gautam, G. Cervone-sea interactions associated with Hurricane Isabel, which landed on the east coast of the United States on September 18, 2003. Hurricane Isabel is considered to be one of the most significant and severe tropical

  19. WELLPOSEDNESS OF THE TORNADO-HURRICANE Jurgen Saal

    E-Print Network [OSTI]

    Saal, Jürgen

    WELLPOSEDNESS OF THE TORNADO-HURRICANE EQUATIONS J¨urgen Saal University of Konstanz Department of a unique mild solution for the tornado-hurricane equations in a Hilbert space setting. The wellposedness × , n · u = 0 on J × , u|t=0 = u0 in G, |t=0 = 0 in G, (1) which is known as the tornado-hurricane

  20. Mid-Atlantic Coastal Storms and Hurricane Sandy

    E-Print Network [OSTI]

    Firestone, Jeremy

    Mid-Atlantic Coastal Storms and Hurricane Sandy Daniel J. Leathers Department of Geography-Atlantic tropical systems and extra-tropical coastal storms. · Observing Hurricane Sandy in Delaware. · Unusual characteristics of Hurricane Sandy. · Impacts of Sandy on Delaware. #12;Some things to discuss... · A brief

  1. THE IMPACT OF HURRICANE STRIKES ON LOCAL CROPLAND PRODUCTIVITY

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    THE IMPACT OF HURRICANE STRIKES ON LOCAL CROPLAND PRODUCTIVITY: EVIDENCE FROM THE CARIBBEAN Eric://www.enseignement.polytechnique.fr/economie/ mailto:chantal.poujouly@polytechnique.edu hal-00393883,version1-10Jun2009 #12;THE IMPACT OF HURRICANE° 2009-14 Abstract: We empirically estimate the impact of hurricane strikes on local crop productivity

  2. Hurricane Katrina, A Climatological Perspective October 2005, Updated August 2006

    E-Print Network [OSTI]

    #12;1 Hurricane Katrina, A Climatological Perspective October 2005, Updated August 2006 1. Introduction Hurricane Katrina is the most costly natural disaster ever to strike the United States, and the deadliest since the Lake Okeechobee disaster (hurricane) of September, 1928. In addition, Katrina was one

  3. Disasters and the Law: The Legal Implications of Hurricane Katrina

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Law 224.9 Disasters and the Law: The Legal Implications of Hurricane Katrina (Spring 2006) Units: 3 Time: Mondays 3:20-6:00 Course Description: Recent hurricanes and other natural disasters demonstrate An Unnatural Disaster: The Aftermath of Hurricane Katrina. This report, spearheaded by University of Texas law

  4. Innovative Grid Technologies Applied to Bioinformatics and Hurricane Mitigation

    E-Print Network [OSTI]

    Sadjadi, S. Masoud

    Innovative Grid Technologies Applied to Bioinformatics and Hurricane Mitigation Rosa BADIA a Gargi and hurricane mitigation. This paper describes some of these innovative technologies, such as the support to provide solutions to pharmagenomics problems and hurricane prediction ensemble simulations. Keywords. Meta

  5. A Preliminary Analysis of Network Outages During Hurricane Sandy

    E-Print Network [OSTI]

    Heidemann, John

    A Preliminary Analysis of Network Outages During Hurricane Sandy USC/ISI Technical Report ISI outages during the October 2012 Hurricane Sandy. We assess net- work reliability by pinging a sample network outages, we see that the out- age rate in U.S. networks doubled when the hurricane made landfall

  6. Disaster Unemployment Assistance (DUA) Due to Effects of Hurricane Sandy

    E-Print Network [OSTI]

    Brinkmann, Peter

    Disaster Unemployment Assistance (DUA) Due to Effects of Hurricane Sandy Factsheet Have you lost work or income due to the effects of Hurricane Sandy? If so, you may be eligible for Disaster due to the effects of hurricane sandy, you may qualify for DUA. there are different eligibility

  7. Impact of a Warm Ocean Eddy's Circulation on Hurricane-Induced Sea Surface Cooling with Implications for Hurricane Intensity

    E-Print Network [OSTI]

    Rhode Island, University of

    Impact of a Warm Ocean Eddy's Circulation on Hurricane-Induced Sea Surface Cooling with Implications for Hurricane Intensity RICHARD M. YABLONSKY AND ISAAC GINIS Graduate School of Oceanography) ABSTRACT Upper oceanic heat content (OHC) in advance of a hurricane is generally superior to prestorm sea

  8. Aerodynamic Models for Hurricanes II. Model of the upper hurricane layer

    E-Print Network [OSTI]

    Leonov, Arkady I

    2008-01-01T23:59:59.000Z

    This second paper of the series (see the first one in [1]) models the dynamics and structure of upper hurricane layer in adiabatic approximation. Formulation of simplified aerodynamic model allows analytically express the radial istributions of pressure and wind speed components. The vertical evolution of these distributions and hurricane structure in the layer are described by a coupled set of equations for the vertical mass flux and vertical momentum balance, averaged over the eye wall cross section. Several realistic predictions of the model are demonstrated, including the change of directions for the component of radial wind speed and angular velocity of hurricane with altitude.

  9. Hurricane Katrina: A Case Study of its Impacts on Medical ServiceProviders and Their Client Populations

    E-Print Network [OSTI]

    Swanson, David A

    2009-01-01T23:59:59.000Z

    for counties impacted by Hurricane Katrina (http://demographic effects of hurricane katrina on the mississippiB, Kruse J, Sutter D. Hurricanes and economic research: an

  10. Land Cover Change of Louisiana and Mississippi produced by Hurricane Katrina

    E-Print Network [OSTI]

    Gilbes, Fernando

    Land Cover Change of Louisiana and Mississippi produced by Hurricane Katrina WILMA N. PABÓN RAMÍREZ of the strongest and most devastating hurricanes in the history of the United States: the hurricane Katrina. INTRODUCTION Hurricane Katrina is the sixth strongest Atlantic hurricane ever recorded and is the third

  11. Gulf Coast Hurricanes Situation Report #40

    SciTech Connect (OSTI)

    none,

    2005-11-14T23:59:59.000Z

    On 11/12 Florida Power & Light (FPL) announced that crews had essentially completed Hurricane Wilma restoration efforts to all 3.2 million customers in South Florida who had been without power. Electricity restoration efforts are now essentially complete in Florida.

  12. EDUCATOR'S GUIDE The large format film Hurricane on the Bayou is appropriate for all intermediate gradesHurricane on the Bayou is appropriate for all intermediate gradesHurricane on the Bayou

    E-Print Network [OSTI]

    Mathis, Wayne N.

    EDUCATOR'S GUIDE #12;The large format film Hurricane on the Bayou is appropriate for all intermediate gradesHurricane on the Bayou is appropriate for all intermediate gradesHurricane on the Bayou (4 for young children. Hurricane on the Bayou Produced and distributed by MacGillivray Freeman Films Executive

  13. The Demographic Effects of Hurricane Katrina on the Mississippi Gulf Coast: An Analysis by Zip Code

    E-Print Network [OSTI]

    Swanson, David A

    2008-01-01T23:59:59.000Z

    344-362. Cossman, R. 2006. “Hurricane Katrina as a NaturalMississippi Gulf Coast after Hurricane Katrina: An In-depthInstitutions in the Wake of Hurricane Katrina. ” Journal of

  14. Performance of convectionpermitting hurricane initialization and prediction during 20082010 with ensemble data assimilation

    E-Print Network [OSTI]

    Thompson, Anne

    Performance of convectionpermitting hurricane initialization and prediction during 2008; published 11 August 2011. [1] This study examines a hurricane prediction system that uses an ensemble Kalman hurricane initialization and forecasting. This system demonstrated very promising performance, especially

  15. Sediment resuspension over a continental shelf during Hurricanes Edouard and Hortense

    E-Print Network [OSTI]

    Chang, Grace C.

    Sediment resuspension over a continental shelf during Hurricanes Edouard and Hortense G. C. Chang physical and optical measurements have captured sediment resuspension associated with two hurricanes. Sediment resuspension associated with Hurricane Edouard was forced by combined current and wave processes

  16. Preparation is the best protection against the dangers of a hurricane. The information below is taken from the American Red Cross Hurricane Safety Checklist.

    E-Print Network [OSTI]

    Varela, Carlos

    Preparation is the best protection against the dangers of a hurricane. The information below is taken from the American Red Cross Hurricane Safety Checklist. What should I do? Check your disaster, lawn furniture). Close windows, doors and hurricane shutters. If you do not have hurricane shutters

  17. USCOMM-WB-DC PRELIMZNARY REPORT OH HURRICANE DAISY

    E-Print Network [OSTI]

    QC 945.2 .D3 H8 1958 c.2 #12;#12;USCOMM-WB-DC #12;PRELIMZNARY REPORT OH HURRICANE DAISY AWGUST 24-29, 1958 Hurricane "Daisy", intense but small in area, was detected as a tropical storm about 300 miles into a hurricane on August 25. A u g u s t 27 it drifted very slowly northward. coast increased. the Atlantic off

  18. Overview of Response to Hurricane Sandy-Nor'Easter and Recommendations...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Response to Hurricane Sandy-Nor'Easter and Recommendations for Improvement (February 2013) Overview of Response to Hurricane Sandy-Nor'Easter and Recommendations for Improvement...

  19. Comparing classical and Bayesian methods for predicting hurricane landfall rates

    E-Print Network [OSTI]

    Hall, T; Hall, Tim; Jewson, Stephen

    2006-01-01T23:59:59.000Z

    We compare classical and Bayesian methods for fitting the poisson distribution to the number of hurricanes making landfall on sections of the US coastline.

  20. Comparing the Impacts of Northeast Hurricanes on Energy Infrastructure...

    Energy Savers [EERE]

    & Publications Energy Emergency Preparedness Quarterly Vol 2, Issue 1 - January 2013 Hurricane Sandy Situation Report 3 A Review of Power Outages and Restoration Following the...

  1. Hurricane Andrew: Impact on hazardous waste management

    SciTech Connect (OSTI)

    Kastury, S.N. (Dept. of Environmental Regulation, Tallahassee, FL (United States))

    1993-03-01T23:59:59.000Z

    On August 24, 1992, Hurricane Andrew struck the eastern coast of South Florida with winds of 140 mph approximately and a storm surge of 15 ft. The Florida Department of Environmental Regulation finds that the Hurricane Andrew caused a widespread damage throughout Dade and Collier County as well as in Broward and Monroe County and has also greatly harmed the environment. The Department has issued an emergency final order No. 92-1476 on August 26, 1992 to address the environmental cleanup and prevent any further spills of contaminants within the emergency area. The order authorizes the local government officials to designate certain locations in areas remote from habitation for the open burning in air certain incinerators of hurricane generated yard trash and construction and demolition debris. The Department staff has assisted the county and FEMA staff in establishing procedures for Hazardous Waste Management, Waste Segregation and disposal and emergency responses. Local governments have issued these burn permits to public agencies including FDOT and Corps of Engineering (COE). Several case studies will be discussed on the Hazardous Waste Management at this presentation.

  2. Numerical prediction of mobile offshore drilling unit drift during hurricanes

    E-Print Network [OSTI]

    Tahchiev, Galin Valentinov

    2009-05-15T23:59:59.000Z

    Hurricanes Ivan, Katrina, and Rita tracked through a high-density corridor of the oil and gas infrastructures in the Gulf of Mexico. Extreme winds and large waves exceeding the 100-year design criteria of the MODUs during these hurricanes, caused...

  3. Performance of Wood-Frame Structures during Hurricane Katrina

    E-Print Network [OSTI]

    Cox, Dan

    Performance of Wood-Frame Structures during Hurricane Katrina John W. van de Lindt, M.ASCE1 ; Andrew Graettinger, M.ASCE2 ; Rakesh Gupta, M.ASCE3 ; Thomas Skaggs, M.ASCE4 ; Steven Pryor, M.ASCE5 ; and Kenneth J. Fridley, M.ASCE6 Abstract: The costliest natural disaster in U.S. history was Hurricane Katrina

  4. Global warming and hurricane intensity and frequency: The debate continues

    E-Print Network [OSTI]

    Kareem, Ahsan

    Global warming and hurricane intensity and frequency: The debate continues Megan Mc of these changes. Some scientists believe that global warming and increased sea surface temperatures are to blame, global warming and increased sea surface temperatures do appear to have influenced hurricane frequency

  5. Taming Hurricanes With Arrays of Offshore Wind Turbines

    E-Print Network [OSTI]

    Firestone, Jeremy

    Taming Hurricanes With Arrays of Offshore Wind Turbines Mark Z. Jacobson Cristina Archer, Willet) or 50 m/s (destruction) speed. Can Walls of Offshore Wind Turbines Dissipate Hurricanes? #12;Katrina Kempton Wind Energy Symposium University of Delaware February 27, 2013 145 mph; Jeff Schmaltz, NASA GSFC

  6. Quantifying the hurricane risk to offshore wind turbines

    E-Print Network [OSTI]

    Jaramillo, Paulina

    Quantifying the hurricane risk to offshore wind turbines Stephen Rosea , Paulina Jaramilloa,1. Turbine tower buckling has been observed in typhoons, but no offshore wind turbines have yet been built be destroyed by hurricanes in an offshore wind farm. We apply this model to estimate the risk to offshore wind

  7. Performance of Glass/Cladding of High-Rise Buildings in Hurricane Katrina

    E-Print Network [OSTI]

    Kareem, Ahsan

    Performance of Glass/Cladding of High-Rise Buildings in Hurricane Katrina Ahsan Kareem and Rachel, 2005, Hurricane Katrina made landfall on the coast of Louisiana reported as a Category 4 hurricane to extreme winds associated with hurricanes, the NatHaz Modeling Laboratory at the University of Notre Dame

  8. What will happen to a hurricane that runs through this oil slick?

    E-Print Network [OSTI]

    What will happen to a hurricane that runs through this oil slick? · Most hurricanes span remains small in comparison to a typical hurricane's general environment and size, the anticipated impact on the hurricane would be minimal. · The oil is not expected to appreciably affect either the intensity

  9. Crown copyright Met Office Hurricane dynamics: on the role of Vortex Rossby Waves (VRWs).

    E-Print Network [OSTI]

    © Crown copyright Met Office Hurricane dynamics: on the role of Vortex Rossby Waves (VRWs). Gilbert of numerical weather prediction: hurricanes, typhoons and tropical cyclones · Hurricane intensity · Conclusion #12;© Crown copyright Met Office Hurricane Juan, 28 September 2003, Halifax 75°N 110°W 10°E5°N

  10. Intervention Analysis of Hurricane Effects on Snail Abundance in a Tropical Forest Using

    E-Print Network [OSTI]

    Willig, Michael

    Intervention Analysis of Hurricane Effects on Snail Abundance in a Tropical Forest Using Long disturbances, such as hurricanes, have profound effects on pop- ulations, either directly by causing mortality of resources. In the last 20 years, two major disturbances, Hurricane Hugo in 1989 and Hurricane Georges

  11. u.s. Wea.ther Bureau. Hurricane Helena. Sept. 2S-29. 1958.

    E-Print Network [OSTI]

    QC 945.2 .H45 H8 1958 u.s. Wea.ther Bureau. Hurricane Helena. Sept. 2S-29. 1958. #12;National;PRELIMINARY REPORT, HURRICANE HELENE SEPTEMBER 23-29, 1958 Hurricane Helene, one of the most dangerous to hurricane strength by the next day. It continued to intensify and advanced on a slow and somewhat erratic

  12. A sea drag relation for hurricane wind speeds N. C. Zweers,1

    E-Print Network [OSTI]

    Vries, Hans de

    A sea drag relation for hurricane wind speeds N. C. Zweers,1 V. K. Makin,1 J. W. de Vries,1 and G, the surface drag is overestimated in NWP models for hurricane wind speeds and the intensity of hurricane winds is tested in an NWP model. Two hurricanes in the Caribbean are modeled: Ivan (2004) and Katrina (2005

  13. Deep uncertainty in long-term hurricane risk: Scenario generation and implications for future climate experiments

    E-Print Network [OSTI]

    Stevenson, Paul

    Deep uncertainty in long-term hurricane risk: Scenario generation and implications for future change) may exacerbate hurricane risk in the future. There is an urgent need to consider future hurricane Hurricane Risk Climate modeling A B S T R A C T Current projections of long-term trends in Atlantic

  14. THE HURRICANE IMAGING RADIOMETER WIDE SWATH SIMULATION AND WIND SPEED RETRIEVALS

    E-Print Network [OSTI]

    Ruf, Christopher

    THE HURRICANE IMAGING RADIOMETER WIDE SWATH SIMULATION AND WIND SPEED RETRIEVALS Ruba A. Amarin1 Space Flight Center, Huntsville, Alabama 4 NOAA/AOML/Hurricane Research Division, Miami, Florida, USA ABSTRACT The knowledge of peak winds in hurricanes is critical to classification of hurricane intensity

  15. Forecasting U.S. Hurricanes 6 Months in Advance James B. Elsner,1

    E-Print Network [OSTI]

    Elsner, James B.

    . A hurricane can make more than one landfall as hurricane Andrew did in striking southeast FloridaForecasting U.S. Hurricanes 6 Months in Advance James B. Elsner,1 Richard J. Murnane,2 Thomas H correspondence should be addressed; E-mail: jelsner@garnet.fsu.edu. [1] Hurricanes are a serious social

  16. Hurricanes and the Urban Forest: II. Effects on Tropical and Subtropical Tree Species

    E-Print Network [OSTI]

    Jawitz, James W.

    data for Hurricane Andrew for some analyses. The percent urban forest loss ranged from 13% for Georges species in Hurricanes Jeanne, Charley, Georges, or Andrew. Two other measurements of wood strength survival in Hurricane Georges. A reanalysis of seven dicot species and their survival in Hurricane Andrew

  17. Damage Pattern Mining in Hurricane Image Shu-Ching Chen1

    E-Print Network [OSTI]

    Chen, Shu-Ching

    of Hurricane Andrew in 1992 are conducted and ana- lyzed to show the effectiveness of the proposed Hurricane, segmentation, QBE (Query c 2003 IEEE. By Image). 1 Introduction After Hurricane Andrew in 1992, many areasDamage Pattern Mining in Hurricane Image Databases Shu-Ching Chen1 , Mei-Ling Shyu2 , Chengcui

  18. Analyzing the Impact of One Important Unplanned Exceptional Event, namely Hurricanes, on Crime in

    E-Print Network [OSTI]

    the most. Examples include Hurricane Andrew (Cromwell et al. 1995, Lanza-Kaduce et al. 1998), Hurricane1 Analyzing the Impact of One Important Unplanned Exceptional Event, namely Hurricanes, on Crime al. (2011) who assessed the impact that one natural disaster - Hurricane Katrina - and subsequent

  19. Forecasting U.S. hurricanes 6 months in advance J. B. Elsner,1

    E-Print Network [OSTI]

    Elsner, James B.

    . A hurricane can make more than one landfall as hurricane Andrew did in striking southeast FloridaForecasting U.S. hurricanes 6 months in advance J. B. Elsner,1 R. J. Murnane,2 and T. H. Jagger1 is a grim reminder of the serious social and economic threat that hurricanes pose to the United States

  20. IMPROVED MICROWAVE REMOTE SENSING OF HURRICANE WIND SPEED AND RAIN RATES USING THE HURRICANE IMAGING RADIOMETER (HIRAD)

    E-Print Network [OSTI]

    Ruf, Christopher

    IMPROVED MICROWAVE REMOTE SENSING OF HURRICANE WIND SPEED AND RAIN RATES USING THE HURRICANE) that measures wind speed and rain rate along the ground track directly beneath the aircraft. This paper presents are presented, which illustrate wind speed and rain rate measurement spatial resolutions and swath coverage. 1

  1. Hurricane Sandy | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | OpenHunan Runhua New Energy Development Co LtdHunanProgrammeHurricane

  2. Predicting hurricane numbers from Sea Surface Temperature: closed form expressions for the mean, variance and standard error of the number of hurricanes

    E-Print Network [OSTI]

    Jewson, S

    2007-01-01T23:59:59.000Z

    One way to predict hurricane numbers would be to predict sea surface temperature, and then predict hurricane numbers as a function of the predicted sea surface temperature. For certain parametric models for sea surface temperature and the relationship between sea surface temperature and hurricane numbers, closed-form solutions exist for the mean and the variance of the number of predicted hurricanes, and for the standard error on the mean. We derive a number of such expressions.

  3. Weekly Digest Guide The Weekly Digest is YSM's weekly events newsletter, distributed early

    E-Print Network [OSTI]

    Lee, Daeyeol

    Weekly Digest Guide The Weekly Digest is YSM's weekly events newsletter, distributed early each Friday morning to 9,000+ email recipients on the Yale campus. The Weekly Digest includes approximately. Timeline The Weekly Digest is published on Fridays for events taking place the following week. Lead time

  4. MotorWeek

    ScienceCinema (OSTI)

    None

    2013-04-19T23:59:59.000Z

    In 2008, PBS's MotorWeek, television's original automotive magazine, visited Argonne's Transportation Technology R&D Center "to learn what it really takes to make clean power sources a viable reality."

  5. Algebra 557: Week 1

    E-Print Network [OSTI]

    2008-09-07T23:59:59.000Z

    Algebra 557: Week 1. Throughout this course by a ring A we will understand a commutative ring with 1. 1 Rings and Modules. 1.1 Maximal and Prime Ideals, ...

  6. Algebra 557: Week 2

    E-Print Network [OSTI]

    2008-09-07T23:59:59.000Z

    Algebra 557: Week 2. 1 Lengths, minimal and maximal conditions. Definition 1. A module M is simple if it has no proper sub-modules. Remark 2. If M is a simple ...

  7. Illustrative Visualization of Hurricane Advisory Information Chad A. Steed

    E-Print Network [OSTI]

    Swan II, J. Edward

    Robert J. Moorhead¶ Mississippi State University Keywords: artistic brush strokes, tropical cyclones and Atmospheric Administration (NOAA) National Hurricane Center's (NHC) Tropical Cyclone Advisories contain information, such as storm position and intensity forecasts, are available in separate plots on the website

  8. SUMMARY OF REVISED TORNADO, HURRICANE AND EXTREME STRAIGHT WIND...

    Office of Environmental Management (EM)

    @ E A R T H L I N K . N E T SUMMARY OF REVISED TORNADO, HURRICANE AND EXTREME STRAIGHT WIND CHARACTERISTICS AT NUCLEAR FACILITY SITES Categorization of Natural Hazard Phenomenon...

  9. NOAA Water Level and Meteorological Data Report HURRICANE SANDY

    E-Print Network [OSTI]

    ..................................................11 Table of Maximum Recorded Water Level Residuals (Storm Surge.................................................................17 Time-Series Plots of Observed, Predicted and Residual Water LevelsNOAA Water Level and Meteorological Data Report HURRICANE SANDY Silver Spring, Maryland January 24

  10. assessing hurricane katrina: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    National;Cover: NOAA-15 satellite image of HurricaneKatrina at 7:47 a.m. Central Daylight Time, August 29,2005,just east of New Orleans, Louisiana. 12;ServiceAssessment...

  11. Exemplary Hurricane Damage Cleanup Earns Petroleum Reserve Coveted Environmental Award

    Broader source: Energy.gov [DOE]

    An exceptional waste management project at a Texas Strategic Petroleum Reserve site following Hurricane Ike in 2008 has won a DOE Environmental Sustainability (EStar) Award for Waste/Pollution Prevention.

  12. "Design of Offshore Wind Turbines for Hurricane Resilience" Graduate Seminar

    E-Print Network [OSTI]

    Connor, Ed

    "Design of Offshore Wind Turbines for Hurricane Resilience" Graduate Seminar Thursday, December 5, 2013, 12pm ­ 1pm Andrew Myers, Ph.D. Northeastern University. "Computational Methods for Evolving

  13. DOE Providing Additional Supercomputing Resources to Study Hurricane...

    Office of Environmental Management (EM)

    of Louisiana and to support other aspects of the Gulf Hurricane Protection Projects. Running the 400,000 hours of simulations on a single-processor PC would take about 46 years....

  14. GIS, a Necessity in the Recovery from Hurricane Katrina

    E-Print Network [OSTI]

    Gonterwitz, Kyle

    2006-11-15T23:59:59.000Z

    GIS and the Recovery from Hurricane Katrina - 2005 By: URS Corporation Kyle Gonterwitz Belle Willsey How URS Got Involved ? URS and Dewberry provide technical assistance to FEMA under a Partnership called NISTAC (Nationwide Infrastructure... in the past forty years ? Subsidence ? CORS study ? subsidence at up to 17mm/year ? Hurricane ?Pam? Model and Preparation ? WCS for New Orleans Southeast Louisiana Coastal Land Loss 1870-2000 1937 1870 1973 2000 From CSPHIH and LGS via LSU.edu Before...

  15. Weekly User Schedule

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening aTurbulenceUtilizeRuralthe emergency response2NetWeekly UserWeekly

  16. Seasonal thermal energy storage

    SciTech Connect (OSTI)

    Allen, R.D.; Kannberg, L.D.; Raymond, J.R.

    1984-05-01T23:59:59.000Z

    This report describes the following: (1) the US Department of Energy Seasonal Thermal Energy Storage Program, (2) aquifer thermal energy storage technology, (3) alternative STES technology, (4) foreign studies in seasonal thermal energy storage, and (5) economic assessment.

  17. An objective change point analysis of landfalling historical Atlantic hurricane numbers

    E-Print Network [OSTI]

    Jewson, S; Jewson, Stephen; Penzer, Jeremy

    2006-01-01T23:59:59.000Z

    In previous work we have analysed the Atlantic basin hurricane number time-series to identify decadal time-scale change points. We now repeat the analysis but for US landfalling hurricanes. The results are very different.

  18. Flooding The Vote: Hurricane Katrina and Voter Participation in New Orleans

    E-Print Network [OSTI]

    Sinclair, Betsy

    2008-11-10T23:59:59.000Z

    The flooding of New Orleans from Hurricane Katrina resulted in a massive and rapid exodus of individuals from New Orleans to locations around the United States. In the midst of the hurricane recovery, the City of New Orleans ...

  19. Predicting Hurricane Intensity and Structure Changes Associated with Eyewall Replacement Cycles

    E-Print Network [OSTI]

    Kossin, James P.

    Predicting Hurricane Intensity and Structure Changes Associated with Eyewall Replacement Cycles replacement cycles are commonly observed in tropical cyclones and are well known to cause fluctuations associated with eyewall replacement cycles in Atlantic Ocean hurricanes. The model input comprises

  20. Reliability Evaluation of Composite Power Systems Including the Effects of Hurricanes

    E-Print Network [OSTI]

    Liu, Yong

    2011-02-22T23:59:59.000Z

    Adverse weather such as hurricanes can significantly affect the reliability of composite power systems. Predicting the impact of hurricanes can help utilities for better preparedness and make appropriate restoration arrangements...

  1. Late Holocene hurricane activity and climate variability in the Northeastern Gulf of Mexico

    E-Print Network [OSTI]

    Lane, Daniel Philip

    2011-01-01T23:59:59.000Z

    Hurricane activity in the Northeastern Gulf of Mexico and its relationship to regional and large-scale climate variability during the Late Holocene is explored. A 4500-year record of hurricane-induced storm surges is ...

  2. Tornado vs. Hurricane Which is More Critical for Design of U...

    Office of Environmental Management (EM)

    Tornado vs. Hurricane Which is More Critical for Design of U.S. Nuclear Power Plants? Tornado vs. Hurricane Which is More Critical for Design of U.S. Nuclear Power Plants? Tornado...

  3. Reply to Comments on ``Multiyear Predictions of North Atlantic Hurricane Frequency: Promise and Limitations''

    E-Print Network [OSTI]

    Wittenberg, Andrew

    Reply to Comments on ``Multiyear Predictions of North Atlantic Hurricane Frequency: Promise,* RICH GUDGEL,* ANTHONY ROSATI,* BILL STERN,* GABRIELE VILLARINI,@ ANDREW WITTENBERG,* XIASONG YANG,1 of SGT changes on hurricane activity, thereby creating skillful multiyear predictions for hurri- canes

  4. Federal Funding in Response to Hurricane Katrina: Utilization by New Orleans Residents

    E-Print Network [OSTI]

    Beauchamp, Krystle; Chavez, Leslie; Dye, Wendy; Lamon, Matt; Mallas, Liz; Stephens, Caroline

    2007-01-01T23:59:59.000Z

    Hurricane Andrew ............................................................................................................. 81 Northridge Earthquake ...................................................................................................... 83... Hurricane Katrina: A Study of the Awareness, Participation and Satisfaction of Federally Funded Programs Bush School of Government and Public Service Texas A&M University Krystle Beauchamp...

  5. The kinematic structure of hurricanes and their rainbands -: implications for hurricane intensity change

    E-Print Network [OSTI]

    Samsury, Christopher Elliott

    1992-01-01T23:59:59.000Z

    . Adapted from Storm Year Fli hts 900 mb 850 mb Radial 700 le s mb 600 mb total 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Anita David Frederic Allen Gert Alicia Diana Danny Elena Gloria Juan Emily Floyd... 8 0 28 0 70 20 24 52 114 72 50 88 18 122 42 20 18 12 20 50 6 12 12 28 7 787 13 Table 2. Inventory of radar data for the tropical cyclones in this study. 1 2 3 4 5 6 7 8 9 10 11 12 13 Hurricane Anita...

  6. Figure 1. Hurricane Display Illustration Showing Hurricane Earls Path on Sept. 3, 2010

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity Use asFeet) TexasProductionHurricane

  7. Mad Cows, Hurricane Sandy, and Why We Need Strong Science Assessors

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    Mad Cows, Hurricane Sandy, and Why We Need Strong Science Assessors bridges vol. 36, December 2012 of Hurricane Sandy. In the 1990s, as the British public became aware that bovine spongiform encephalopathy (BSE and oversight are necessary. Aerial view of the damage caused by Hurricane Sandy to the New Jersey coast. Source

  8. Risk assessment of hurricane storm surge for New York City K. A. Emanuel,2

    E-Print Network [OSTI]

    Emanuel, Kerry A.

    Risk assessment of hurricane storm surge for New York City N. Lin,1 K. A. Emanuel,2 J. A. Smith,1 September 2010. [1] Hurricane storm surge presents a major hazard for the United States. We apply a modelbased risk assessment methodology to investigate hurricane storm surge risk for New York City (NYC). We

  9. ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability ESTIMATING STRUCTURAL RELIABILITY UNDER HURRICANE WIND HAZARD

    E-Print Network [OSTI]

    Balaji, Rajagopalan

    STRUCTURAL RELIABILITY UNDER HURRICANE WIND HAZARD: APPLICATIONS TO WOOD STRUCTURES Balaji Rajagopalan.frangopol@colorado.edu Abstract A stochastic nonparametric framework to estimate structural reliability under hurricane wind Natural hazards in general and hurricanes in particular, lead to loss of life and tremendous property

  10. U.S. Weather Bureau. Hurricane Flora, September 30-October 12,

    E-Print Network [OSTI]

    QC 945.2 .F59 H8 1963 c.2 U.S. Weather Bureau. Hurricane Flora, September 30-October 12, 1963 and Buffetins lss #12;National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series ERRATA Beltsville, MD 20704-1387 November 6,2007 #12;PRELIMINARY REPORT ON HURRICANE "FLORA". SEPTWBER 30 - OCTOBER

  11. A Web-Based Task-Tracking Collaboration System for the Florida Public Hurricane Loss Model

    E-Print Network [OSTI]

    Chen, Shu-Ching

    A Web-Based Task-Tracking Collaboration System for the Florida Public Hurricane Loss Model Raul, FL 33199, U.S.A. hamids@fiu.edu Abstract--The Florida Public Hurricane Loss Model (FPHLM) is a large of residential insurance premiums as they relate to insured losses caused by hurricane winds. The modeling

  12. Nearly 20 Years Since Hurricane Iniki by Steven Businger and Tom Schroeder

    E-Print Network [OSTI]

    Dong, Yingfei

    Nearly 20 Years Since Hurricane Iniki by Steven Businger and Tom Schroeder businger@hawaii.edu, tas@hawaii.edu Professors of Meteorology at the University of Hawaii at Manoa On September 11, 1992 hurricane Iniki scored a direct hit on the island of Kauai. Over a period of only three hours, the category-3 hurricane caused

  13. Stennis Space Center Earth Observations to Assess Impact of Hurricane Katrina

    E-Print Network [OSTI]

    Stennis Space Center Earth Observations to Assess Impact of Hurricane Katrina on John C. Stennis Space Center Predicting Conditions of Hurricane Evacuation and Return Routes 2012 SSC Resilience Opportunities in Space and Earth Sciences (ROSES) 2008 submission, Evaluation of Hurricane Evacuation Routes

  14. Bivariate Splines for Hurricane Path Forecasting Bree Ettinger and Ming-Jun Lai

    E-Print Network [OSTI]

    Lai, Ming-Jun

    Bivariate Splines for Hurricane Path Forecasting Bree Ettinger and Ming-Jun Lai 1 Introduction Every year, hurricanes cause a lot of damage, especially, when they hit cities along the coast line. A notorious example is Hurricane Katrina in 2005 which hit New Orleans and damaged the city significantly

  15. Guided Analysis of Hurricane Trends Using Statistical Processes Integrated with Interactive Parallel Coordinates

    E-Print Network [OSTI]

    Swan II, J. Edward

    Guided Analysis of Hurricane Trends Using Statistical Processes Integrated with Interactive. The system's utility is demonstrated with an extensive hurricane climate study that was conducted by a hurricane expert. In the study, the expert used a new data set of environmental weather data, composed of 28

  16. Hurricane forcing on chlorophyll-a concentration off the northeast coast of the U.S.

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    Hurricane forcing on chlorophyll-a concentration off the northeast coast of the U.S. Ame´lie Davis1] The effect of known physical disturbances caused by hurricanes on chlorophyll-a concentration ([Chl]) is ascertained using remote sensing. This study focuses on all seven hurricanes which affected the northeast (NE

  17. Impact of current-wave interaction on storm surge simulation: A case study for Hurricane Bob

    E-Print Network [OSTI]

    Chen, Changsheng

    Impact of current-wave interaction on storm surge simulation: A case study for Hurricane Bob,2 Received 2 January 2013; revised 5 April 2013; accepted 18 April 2013; published 30 May 2013. [1] Hurricane was developed and applied to simulate and examine the coastal ocean responses to Hurricane Bob. Results from

  18. Hurricane Clusters in the Vicinity of Florida THOMAS H. JAGGER AND JAMES B. ELSNER

    E-Print Network [OSTI]

    Elsner, James B.

    Hurricane Clusters in the Vicinity of Florida THOMAS H. JAGGER AND JAMES B. ELSNER Department form 14 December 2011) ABSTRACT Models that predict annual U.S. hurricane activity assume a Poisson distribution for the counts. Here the authors show that this assumption applied to Florida hurricanes leads

  19. A Comparison of Hurricane Eye Determination Using Standard and Ultra-High Resolution

    E-Print Network [OSTI]

    Long, David G.

    A Comparison of Hurricane Eye Determination Using Standard and Ultra-High Resolution QuikSCAT Winds of hurricanes. I. INTRODUCTION Space-borne scatterometers such as SeaWinds on QuikSCAT are instruments designed these is the observation and tracking of tropical cyclones including hurricanes. Several fea- tures of interest

  20. Hurricane Damage Sustained by the Oyster Industry and the Oyster Reefs Across the Galveston Bay System

    E-Print Network [OSTI]

    Hurricane Damage Sustained by the Oyster Industry and the Oyster Reefs Across the Galveston Bay., Russell J. Miget, and Lawrence L. Falconer. "Hurricane Damage Sustained by the Oyster Industry-1412. Tel: 361/265-9203, Fax: 361/265-9434, E-mail: l-falconer@tamu.edu. Hurricane Damage Sustained

  1. U .S Weather Bureau. Hurricane Jenny, Nov.6-8, 1961,

    E-Print Network [OSTI]

    QC 945.2 .J45 H8 1961 c.2 U .S Weather Bureau. Hurricane Jenny, Nov.6-8, 1961, m #12;DEPARTMENT;National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series ERRATA NOTICE One or more,2007 #12;HURRICANE JEhWY - NOVEMBER 6-8, 1961 Fveliminarg Report H&icane Jenny developed f r o m a tropical

  2. HURRICANE IMAGING RADIOMETER WIND SPEED AND RAIN RATE RETRIEVAL: [PART-1] DEVELOPMENT OF AN IMPROVED OCEAN

    E-Print Network [OSTI]

    Ruf, Christopher

    HURRICANE IMAGING RADIOMETER WIND SPEED AND RAIN RATE RETRIEVAL: [PART-1] DEVELOPMENT U.S.A * selnimri@mail.ucf.edu 2 NOAA/AOML/Hurricane Research Division, Miami, Florida, USA 3 Space model has been developed to support the analysis and design of the new airborne Hurricane Imaging

  3. TREE ANIMATION FOR A 3D INTERACTIVE VISUALIZATION SYSTEM FOR HURRICANE IMPACTS

    E-Print Network [OSTI]

    Chen, Shu-Ching

    TREE ANIMATION FOR A 3D INTERACTIVE VISUALIZATION SYSTEM FOR HURRICANE IMPACTS Peter A. Singh1 , Na of Computer Science Florida International University, Miami, FL 33199, USA 2 International Hurricane Research in an interactive system that visualizes the effects caused by a hurricane's impact on a virtual city. The system

  4. Response of a Simulated Hurricane to Misalignment Forcing Compared to the Predictions of a Simple Theory

    E-Print Network [OSTI]

    Schecter, David

    Response of a Simulated Hurricane to Misalignment Forcing Compared to the Predictions of a Simple This paper compares the tilt dynamics of a mature hurricane simulated with a conventional cloud model (CM-developed hurricane on the f-plane exposed to a finite period of idealized misalignment forcing. A complementary

  5. Hurricane Wind Field Estimation from SeaWinds at Ultra High Resolution

    E-Print Network [OSTI]

    Long, David G.

    Hurricane Wind Field Estimation from SeaWinds at Ultra High Resolution Brent A. Williams and David) are inherently noisier than the standard 25km products and the high rain rates often associated with hurricanes. This paper develops a new procedure for hurricane wind field estimation from the SeaWinds instrument at ultra

  6. Florida Public Hurricane Loss Model (FPHLM): Research Experience in System Integration

    E-Print Network [OSTI]

    Chen, Shu-Ching

    Florida Public Hurricane Loss Model (FPHLM): Research Experience in System Integration 1 Shu International University, Miami, FL 33199, USA hamids@fiu.edu ABSTRACT The Florida Public Hurricane Loss Model on probabilistic assessment of insured hurricane wind risk to residential properties and has successfully passed

  7. United States hurricane landfalls and damages: Can one-to five-year predictions beat climatology?

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    United States hurricane landfalls and damages: Can one-to five-year predictions beat climatology-year predictions of United States hurricane landfalls and damages improve upon a baseline expectation derived from these improvements were due to chance or actual skill. A review of efforts to predict hurricane landfalls and damage

  8. Strategic Partnership In order to support the continued research efforts of the hurricane

    E-Print Network [OSTI]

    Strategic Partnership In order to support the continued research efforts of the hurricane forecast: · Recognition in the title of all released hurricane forecast up- dates, reports and news media contacts of media hits such as: Tropics extremely quiet in Atlantic; record drought in major U.S. hurricane

  9. IMPACT OF 2008 HURRICANE IKE ON BRIDGE INFRASTRUCTURE IN THE HOUSTON/GALVESTON REGION

    E-Print Network [OSTI]

    Padgett, Jamie Ellen

    Accepted M anuscript N otC opyedited IMPACT OF 2008 HURRICANE IKE ON BRIDGE INFRASTRUCTURE produced by Hurricane Ike in 2008 caused notable damage to the transportation infrastructure in the Houston in the Houston/Galveston region observed after Hurricane Ike, with comparisons to empirical evidence from past

  10. Q-Winds satellite hurricane wind retrievals and H*Wind comparisons

    E-Print Network [OSTI]

    Hennon, Christopher C.

    of the hurricane surface winds from NOAA and U.S. Air Force Weather Squadron aircraft flights. Further, results1 Q-Winds satellite hurricane wind retrievals and H*Wind comparisons Pet Laupattarakasem and W This paper presents a new hurricane ocean vector wind (OVW) product known as Q-Winds produced from the SeaWinds

  11. Information Reuse and System Integration in the Development of a Hurricane Simulation System*

    E-Print Network [OSTI]

    Chen, Shu-Ching

    , the insurance industry was totally shaken to the tune of $15.5 billion losses caused by Hurricane Andrew [20Information Reuse and System Integration in the Development of a Hurricane Simulation System* Shu@fiu.edu * ©©©© 2003 IEEE Abstract - This paper presents our effort in designing and implementing an advanced hurricane

  12. Seismological Identification and Characterization of a Large Hurricane by Carl W. Ebeling and Seth Stein

    E-Print Network [OSTI]

    Stein, Seth

    that the August 1992 Saffir/Simpson category 5 Hurricane Andrew can be detected using microseisms recordedShort Note Seismological Identification and Characterization of a Large Hurricane by Carl W to anthropogenic global warming are resulting in discern- ible trends in hurricane frequency or energy. However

  13. University of Hawai`i Sea Grant College Program receives prestigious Dr. Arthur Chiu Award for Excellence in Hurricane

    E-Print Network [OSTI]

    for Excellence in Hurricane Preparedness At yesterday's annual hurricane outlook news conference held by the National Oceanic and Atmospheric Administration's Central Pacific Hurricane Center, the Sea Grant College for Excellence in Hurricane Preparedness. The award is given annually to an organization, individual, or business

  14. Statistical Modelling of the Relationship Between Main Development Region Sea Surface Temperature and Atlantic Basin Hurricane Numbers

    E-Print Network [OSTI]

    Binter, R; Khare, S; Binter, Roman; Jewson, Stephen; Khare, Shree

    2007-01-01T23:59:59.000Z

    We are building a hurricane number prediction scheme that relies, in part, on statistical modelling of the empirical relationship between Atlantic sea surface temperatures and Atlantic basin hurricane numbers. We test out a number of simple statistical models for this relationship, using data from 1900 to 2005 and data from 1950 to 2005, and for both all hurricane numbers and intense hurricane numbers.

  15. 2000-2011 New York Independent System Operator, Inc. All Rights Reserved. DRAFT FOR DISCUSSION PURPOSES ONLY Hurricane Sandy

    E-Print Network [OSTI]

    PURPOSES ONLY Hurricane Sandy Preparations, Response & Recovery Wes Yeomans Vice President ­ Operations

  16. FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2011

    E-Print Network [OSTI]

    Birner, Thomas

    (MHD) (5.0) 10 10 10 0 10 10 Accumulated Cyclone Energy (ACE) (96.1) 165 160 160 8 152 160 Net Tropical Cyclone Activity (NTC) (100%) 180 175 175 10 165 175 POST-31 JULY PROBABILITIES FOR AT LEAST ONE MAJOR

  17. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2012

    E-Print Network [OSTI]

    ) (3.9) 3 4 Accumulated Cyclone Energy (ACE) (92) 70 80 Net Tropical Cyclone Activity (NTC) (103%) 75

  18. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2013

    E-Print Network [OSTI]

    Gray, William

    ) (3.9) 9 Accumulated Cyclone Energy (ACE) (92) 165 Net Tropical Cyclone Activity (NTC) (103%) 175 of the long-period average. We expect Atlantic basin Net Tropical Cyclone (NTC) activity in 2013 to climatology. The Atlantic basin has the largest year-to-year variability of any of the global tropical cyclone

  19. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2012

    E-Print Network [OSTI]

    Gray, William

    ) (3.9) 3 Accumulated Cyclone Energy (ACE) (92) 70 Net Tropical Cyclone Activity (NTC) (103%) 75 of the long-period average. We expect Atlantic basin Net Tropical Cyclone (NTC) activity in 2012 to climatology. The Atlantic basin has the largest year-to-year variability of any of the global tropical cyclone

  20. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2014

    E-Print Network [OSTI]

    Days (MHD) (3.9) 2 3 Accumulated Cyclone Energy (ACE) (92) 55 65 Net Tropical Cyclone Activity (NTC. We expect Atlantic basin Net Tropical Cyclone (NTC) activity in

  1. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2011

    E-Print Network [OSTI]

    Gray, William

    Accumulated Cyclone Energy (ACE) (96.1) 165 160 160 Net Tropical Cyclone Activity (NTC) (100%) 180 175 175 Net Tropical Cyclone (NTC) activity in 2011 to be approximately 175 percent of the long-term average

  2. EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2014

    E-Print Network [OSTI]

    Gray, William

    Days (MHD) (3.9) 2 Accumulated Cyclone Energy (ACE) (92) 55 Net Tropical Cyclone Activity (NTC) (103 to be about 65 percent of the long-period average. We expect Atlantic basin Accumulated Cyclone Energy (ACE) and Net Tropical Cyclone (NTC) activity in 2014 to be approximately 60 percent of their long-term averages

  3. FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2014

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    (MHD) (3.9) 2 3 3 Accumulated Cyclone Energy (ACE) (92) 55 65 65 Net Tropical Cyclone Activity (NTC percent of the long-period average. We expect Atlantic basin Net Tropical Cyclone (NTC) activity in 2014

  4. Hardening and Resiliency: U.S. Energy Industry Response to Recent Hurricane Seasons

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department of Energy Completing the Office of

  5. Sandia Energy - Sandia and Los Alamos Teams Gear Up for Hurricane Season

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocuments HomeDatabase onSandia Wind EnergyTheirMODE,Los

  6. Active hurricane season expected to shut-in higher amount of oil and natural gas production

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment ActivitiesAge Refining Air1,D O E / E I A - 0 4 8

  7. Hurricane Season: Restoring Power after a Big Storm | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking of Blythe Solar PowerCommercialEnergySandy-Nor'easter Situation

  8. Weekly User Schedule

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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  9. This Week in Petroleum

    U.S. Energy Information Administration (EIA) Indexed Site

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  11. Busy Week | Jefferson Lab

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  13. Weekly Reports 2014

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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  14. Statistical Modelling of the Relationship Between Main Development Region Sea Surface Temperature and \\emph{Landfalling} Atlantic Basin Hurricane Numbers

    E-Print Network [OSTI]

    Binter, R; Khare, S; Binter, Roman; Jewson, Stephen; Khare, Shree

    2007-01-01T23:59:59.000Z

    We are building a hurricane number prediction scheme that relies, in part, on statistical modelling of the empirical relationship between Atlantic sea surface temperatures and landfalling hurricane numbers. We test out a number of simple statistical models for that relationship, using data from 1900 to 2005 and data from 1950 to 2005, and for both all hurricane numbers and intense hurricane numbers. The results are very different from the corresponding analysis for basin hurricane numbers.

  15. Ensemble Statistics and Error Covariance of a Rapidly Intensifying Hurricane

    E-Print Network [OSTI]

    Rigney, Matthew C.

    2010-01-16T23:59:59.000Z

    and the underlying dynamics for the case of Hurricane Humberto. Using an Ensemble Kalman Filter (EnKF), a comparison of data assimilation results in Storm-centered and Eulerian coordinate systems is made. In addition, the extent of the non-Gaussianity of the model...

  16. DEFORMATION OF THE HURRICANE MOUNTAIN FORMATION MELANGE ALONG TOMHEGAN AND

    E-Print Network [OSTI]

    Beane, Rachel J.

    central Maine. The Hurricane Mountain Formation is a melange with a grey sulfidic slate- to gneiss- matrix by the Dead River Formation, a silvery green slate and phyllite, and overlies the Jim Pond Formation, a dark Pond Quadrangles). Along Tomhegan Stream, northeastern foliation is observed in the grey slate matrix

  17. Global warming and United States landfalling hurricanes Chunzai Wang1

    E-Print Network [OSTI]

    Wang, Chunzai

    Global warming and United States landfalling hurricanes Chunzai Wang1 and Sang-Ki Lee2 Received 18] A secular warming of sea surface temperature occurs almost everywhere over the global ocean. Here we use observational data to show that global warming of the sea surface is associated with a secular increase

  18. LEADERSHIP WEEK APRIL 1119, 2012

    E-Print Network [OSTI]

    Thomas, Andrew

    a LEADERSHIP WEEK APRIL 11­19, 2012 COMMEMORATING THE INAUGURATION OF PAUL W. FERGUSON #12;1 LEADERSHIP WEEK APRIL 11­19, 2012 President Paul W. Ferguson #12;3 A series of leadership events, academic of University of Maine President Paul W. Ferguson on April 19. Leadership Week, April 11­19, took its theme from

  19. Lightning and radar observations of hurricane Rita landfall

    SciTech Connect (OSTI)

    Henderson, Bradley G [Los Alamos National Laboratory; Suszcynsky, David M [Los Alamos National Laboratory; Hamlin, Timothy E [Los Alamos National Laboratory; Jeffery, C A [Los Alamos National Laboratory; Wiens, Kyle C [TEXAS TECH U.; Orville, R E [TEXAS A& M

    2009-01-01T23:59:59.000Z

    Los Alamos National Laboratory (LANL) owns and operates an array of Very-Low Frequency (VLF) sensors that measure the Radio-Frequency (RF) waveforms emitted by Cloud-to-Ground (CG) and InCloud (IC) lightning. This array, the Los Alamos Sferic Array (LASA), has approximately 15 sensors concentrated in the Great Plains and Florida, which detect electric field changes in a bandwidth from 200 Hz to 500 kHz (Smith et al., 2002). Recently, LANL has begun development of a new dual-band RF sensor array that includes the Very-High Frequency (VHF) band as well as the VLF. Whereas VLF lightning emissions can be used to deduce physical parameters such as lightning type and peak current, VHF emissions can be used to perform precise 3d mapping of individual radiation sources, which can number in the thousands for a typical CG flash. These new dual-band sensors will be used to monitor lightning activity in hurricanes in an effort to better predict intensification cycles. Although the new LANL dual-band array is not yet operational, we have begun initial work utilizing both VLF and VHF lightning data to monitor hurricane evolution. In this paper, we present the temporal evolution of Rita's landfall using VLF and VHF lightning data, and also WSR-88D radar. At landfall, Rita's northern eyewall experienced strong updrafts and significant lightning activity that appear to mark a transition between oceanic hurricane dynamics and continental thunderstorm dynamics. In section 2, we give a brief overview of Hurricane Rita, including its development as a hurricane and its lightning history. In the following section, we present WSR-88D data of Rita's landfall, including reflectivity images and temporal variation. In section 4, we present both VHF and VLF lightning data, overplotted on radar reflectivity images. Finally, we discuss our observations, including a comparison to previous studies and a brief conclusion.

  20. Predicting landfalling hurricane numbers from sea surface temperature: a theoretical comparison of direct and indirect methods

    E-Print Network [OSTI]

    Nzerem, K; Laepple, T; Nzerem, Kechi; Jewson, Stephen; Laepple, Thomas

    2007-01-01T23:59:59.000Z

    We consider two ways that one might convert a prediction of sea surface temperature (SST) into a prediction of landfalling hurricane numbers. First, one might regress historical numbers of landfalling hurricanes onto historical SSTs, and use the fitted regression relation to predict future landfalling hurricane numbers given predicted SSTs. We call this the direct approach. Second, one might regress \\emph{basin} hurricane numbers onto historical SSTs, estimate the proportion of basin hurricanes that make landfall, and use the fitted regression relation and estimated proportion to predict future landfalling hurricane numbers. We call this the \\emph{indirect} approach. Which of these two methods is likely to work better? We answer this question in the context of a simple abstract model.

  1. U .S . Weather Bureau. Hurricane Ginny ,October 19-29 ,19632

    E-Print Network [OSTI]

    .G5 H8 1963 U .S . Weather Bureau. Hurricane Ginny ,October 19-29 ,19632 preliminary report;National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series ERRATA NOTICE One or more the hurricane developed f i r a t appeared as a f l a t low preasuro area a t the end o t a t r a i l i n g cold

  2. Exploring the support role of special education teachers after Hurricane Ike: Children with significant disabilities

    E-Print Network [OSTI]

    Stough, Laura

    2011-01-01T23:59:59.000Z

    schools in Miami after Hurricane Andrew, teachers helped stu- dents cope by providing opportunities for emotional processing in the class- room, such as controlled exposure to the traumatic event and activities such as relaxation, conversation, play... of stuff gets them back to normal.” After Hurricane Andrew and Hurricane Katrina, teachers and schools were found to similarly focus on reestablishing the routines of their students and to provide instruction immediately after school resumed (Dash...

  3. Enclosures within Enclosures and Hurricane Reconstruction in Cancu?n, Mexico 

    E-Print Network [OSTI]

    Dominguez Rubio, Fernando; Cordoba Azcarate, Matilde; Baptista, Idalina

    Wilma. With each new business model, investors strategicallyto governance, business models, and forms of architecturetheir tourism business models after each hurricane. In

  4. Comparing the Impacts of the 2005 and 2008 Hurricanes on U.S...

    Office of Environmental Management (EM)

    damage to energy infrastructure than Hurricanes Gustav and Ike. As a result, energy production and supply recovered more quickly in 2008 than in 2005. This report compares the...

  5. SPAIN PROGRAM Madrid Four Week /

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SPAIN PROGRAM Madrid Four Week / Madrid and Málaga Six Week 2014 Summer Program APPLICATION FORM face to scapobia@binghamton.edu. It will be used to make a photo ID card for you to use in Spain. 7 and the full refund and cancellation policy on the Spain program website pages. 8. Submit all materials to the

  6. Water-Column Inertial and Sub-Inertial Oceanic Response to Hurricane Isaac in the Deepwater Gulf of Mexico

    E-Print Network [OSTI]

    Spencer, Laura Jean

    2014-11-14T23:59:59.000Z

    Tropical Storm Isaac entered the Gulf of Mexico on 27 August 2012 and strengthened to become a Category 1 hurricane shortly before making landfall in southern Louisiana. Hurricane Isaac approached Southwest Pass near the mouth of the Mississippi...

  7. A sensitivity study of the thermodynamic environment on GFDL model hurricane intensity: Implications for global warming

    SciTech Connect (OSTI)

    Shen, W.; Tuleya, R.E.; Ginis, I.

    2000-01-01T23:59:59.000Z

    In this study, the effect of thermodynamic environmental changes on hurricane intensity is extensively investigated with the National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory hurricane model for a suite of experiments with different initial upper-tropospheric temperature anomalies up to {+-}4 C and sea surface temperatures ranging from 26 to 31 C given the same relative humidity profile. The results indicate that stabilization in the environmental atmosphere and sea surface temperature (SST) increase cause opposing effects on hurricane intensity. The offsetting relationship between the effects of atmospheric stability increase (decrease) and SST increase (decrease) is monotonic and systematic in the parameter space. This implies that hurricane intensity increase due to a possible global warming associated with increased CO{sub 2} is considerably smaller than that expected from warming of the oceanic waters alone. The results also indicate that the intensity of stronger (weaker) hurricanes is more (less) sensitive to atmospheric stability and SST changes. The model-attained hurricane intensity is found to be well correlated with the maximum surface evaporation and the large-scale environmental convective available potential energy. The model-attained hurricane intensity if highly correlated with the energy available from wet-adiabatic ascent near the eyewall relative to a reference sounding in the undisturbed environment for all the experiments. Coupled hurricane-ocean experiments show that hurricane intensity becomes less sensitive to atmospheric stability and SST changes since the ocean coupling causes larger (smaller) intensity reduction for stronger (weaker) hurricanes. This implies less increase of hurricane intensity related to a possible global warming due to increased CO{sub 2}.

  8. Can't figure out how to eat healthy during hurricane/disaster conditions? Under hurricane/disaster conditions, we often struggle with the question: What will I eat during

    E-Print Network [OSTI]

    Florida, University of

    1 of 18 #12;2 of 18 Foreword Can't figure out how to eat healthy during hurricane/disaster conditions? Under hurricane/disaster conditions, we often struggle with the question: What will I eat during hurricane/disaster conditions? This recipe book is your guide to making better food choices. We are all

  9. U.S. ARMY CORPS OF ENGINEERS HURRICANE SANDY COASTAL MANAGEMENT DIVISION 130 Wainwright Dr. Fort Hamilton, NY 11209

    E-Print Network [OSTI]

    US Army Corps of Engineers

    U.S. ARMY CORPS OF ENGINEERS ­ HURRICANE SANDY COASTAL MANAGEMENT DIVISION 130 Wainwright Dr. Fort,000 miles of coastline within the North Atlantic Division that were affected by Hurricane Sandy. The study response to the devastation in the wake of Hurricane Sandy represents a need to address as a regional

  10. Temporal Trends and Regional Variability of 2001-2002 DENV-3 Epidemic in Havana City: Did Hurricane Michelle

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Temporal Trends and Regional Variability of 2001-2002 DENV-3 Epidemic in Havana City: Did Hurricane 24, perhaps due to Hurricane Michelle, one of the most destructive and wettest tropical cyclones ever of natural disasters such as hurricanes/typhoons. Keywords: Dengue; Cuba; DENV-3; mathematical model; basic

  11. Impact of Airborne Doppler Radar Data Assimilation on the Numerical Simulation of Intensity Changes of Hurricane Dennis near a Landfall

    E-Print Network [OSTI]

    Pu, Zhaoxia

    of Hurricane Dennis near a Landfall ZHAOXIA PU AND XUANLI LI Department of Atmospheric Sciences, University (Manuscript received 27 February 2009, in final form 15 May 2009) ABSTRACT Accurate forecasting of a hurricane's intensity changes near its landfall is of great importance in making an effective hurricane warning

  12. U.S. HURRICANE DAMAGE CAN RISING LEVELS OF CO2 BE ASSOCIATED WITH SANDY'S MASSIVE DESTRUCTION?

    E-Print Network [OSTI]

    Birner, Thomas

    1 U.S. HURRICANE DAMAGE ­ CAN RISING LEVELS OF CO2 BE ASSOCIATED WITH SANDY'S MASSIVE Atlantic basin hurricane activity undergoes large yearly and multidecadal variability. A large portion of this variability, particularly the variability of the major or Category 345 hurricanes, is directly related

  13. Hurricane Sandy Relief Fund for Hunter College DPT Program including donations specified to assist our secretary Mary Cleary.

    E-Print Network [OSTI]

    Qiu, Weigang

    Hurricane Sandy Relief Fund for Hunter College DPT Program including donations specified to assist.00 to $200.00 $500 and Higher #12;Hurricane Sandy Relief Fund for Hunter College DPT Program including Anonymous Anonymous Anonymous Christina Antonovich $99.00 to $50.00 #12;Hurricane Sandy Relief Fund

  14. 2924 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 10, OCTOBER 2008 Estimation of Hurricane Winds From

    E-Print Network [OSTI]

    Long, David G.

    of Hurricane Winds From SeaWinds at Ultrahigh Resolution Brent A. Williams, Member, IEEE, and David G. Long that can be exploited by using a wind field model. This paper devel- ops a new procedure for hurricane wind field estimation from the SeaWinds instrument at ultrahigh resolution. A simplified hurricane model

  15. Forest impact estimated with NOAA AVHRR and Landsat TM data related to an empirical hurricane wind-field distribution

    E-Print Network [OSTI]

    Hodgson, Michael E.

    with Hurricane Andrew in 1992. The wind-field model projected that the highest wind speeds were in the southernForest impact estimated with NOAA AVHRR and Landsat TM data related to an empirical hurricane wind to relate forest type and hurricane-impact distribution with wind speed and duration to explain

  16. Climatology Models for Extreme Hurricane Winds near the United States THOMAS H. JAGGER AND JAMES B. ELSNER

    E-Print Network [OSTI]

    Elsner, James B.

    that from earth- quakes. In Florida alone Hurricane Andrew's strike in 1992 caused more than $30 billionClimatology Models for Extreme Hurricane Winds near the United States THOMAS H. JAGGER AND JAMES B 12 August 2005, in final form 13 December 2005) ABSTRACT The rarity of severe coastal hurricanes

  17. Potential Vorticity Diagnosis of a Simulated Hurricane. Part II: Quasi-Balanced Contributions to Forced Secondary Circulations

    E-Print Network [OSTI]

    Zhang, Da-Lin

    equations system to a cloud-resolving simulation of Hurricane Andrew (1992) during its mature stagePotential Vorticity Diagnosis of a Simulated Hurricane. Part II: Quasi-Balanced Contributions with hurricane-like vortices have been previously examined, understanding is still limited to idealized

  18. The Convective Evolution and Rapid Intensification of Hurricane Earl (2010) STEPHANIE N. STEVENSON, KRISTEN L. CORBOSIERO, AND JOHN MOLINARI

    E-Print Network [OSTI]

    Corbosiero, Kristen L.

    2010-01-01T23:59:59.000Z

    that Hurricane Andrew (1992) experienced lightning outbreaks in the eyewall region prior to periodsThe Convective Evolution and Rapid Intensification of Hurricane Earl (2010) STEPHANIE N. STEVENSON) of Hurricane Earl (2010) is examined using lightning strikes recorded by the World Wide Lightning Location

  19. Correlations between hurricane numbers and sea surface temperature: why does the correlation disappear at landfall?

    E-Print Network [OSTI]

    Laepple, T; Jewson, S; Nzerem, K; Laepple, Thomas; Bellone, Enrica; Jewson, Stephen; Nzerem, Kechi

    2007-01-01T23:59:59.000Z

    There is significant correlation between main development region sea surface temperature and the number of hurricanes that form in the Atlantic basin. The correlation between the same sea surface temperatures and the number of \\emph{landfalling} hurricanes is much lower, however. Why is this? Do we need to consider complex physical hypotheses, or is there a simple statistical explanation?

  20. Mixed Layer Cooling in Mesoscale Oceanic Eddies during Hurricanes Katrina and Rita

    E-Print Network [OSTI]

    Miami, University of

    Mixed Layer Cooling in Mesoscale Oceanic Eddies during Hurricanes Katrina and Rita BENJAMIN JAIMES. Introduction Isotherm topography and energetic geostrophic flow in mesoscale oceanic features in the Gulf. 2000; Shay et al. 2000). The dependence of hurricane-induced OML cooling on the presence of mesoscale

  1. Hurricane wind fields needed to assess risk to offshore wind farms

    E-Print Network [OSTI]

    Jaramillo, Paulina

    LETTER Hurricane wind fields needed to assess risk to offshore wind farms In their paper in PNAS losses attributable to hurricane activity at four hypothetical offshore wind farm sites. We found one a 20-y typical wind farm lifetime. They combined a county annual landfall frequency probability density

  2. Loop Current Mixed Layer Energy Response to Hurricane Lili (2002). Part I: Observations

    E-Print Network [OSTI]

    Miami, University of

    Loop Current Mixed Layer Energy Response to Hurricane Lili (2002). Part I: Observations ERIC W-dimensional oceanic energy evolution in response to Hurricane Lili's (2002) passage. Mixed layer temperature analyses, Florida (Manuscript received 4 May 2011, in final form 3 October 2011) ABSTRACT The ocean mixed layer

  3. Bridge Damage and Repair Costs from Hurricane Katrina Jamie Padgett1

    E-Print Network [OSTI]

    Padgett, Jamie Ellen

    Bridge Damage and Repair Costs from Hurricane Katrina Jamie Padgett1 ; Reginald DesRoches2 ; Bryant caused significant damage to the transportation system in the Gulf Coast region. The overall cost to repair or replace the bridges damaged during the hurricane is estimated at over $1 billion. This paper

  4. What Determines Giving to Hurricane Katrina Victims? Experimental Evidence on Racial Group Loyalty*

    E-Print Network [OSTI]

    Fischhoff, Baruch

    What Determines Giving to Hurricane Katrina Victims? Experimental Evidence on Racial Group Loyalty presentation to manipulate beliefs about the race, income, and worthiness of Hurricane Katrina victims: Department of Social and Decision Sciences, Carnegie Mellon University, fong2@andrew.cmu.edu, Luttmer

  5. Short-Term Hurricane Impacts on a Neotropical Community of Marked Birds and Implications for Early-

    E-Print Network [OSTI]

    Winker, Kevin

    Short-Term Hurricane Impacts on a Neotropical Community of Marked Birds and Implications for Early- Stage Community Resilience Andrew B. Johnson1,2 , Kevin Winker1 * 1 University of Alaska Museum birds, following this community through the catastrophic destruction of its forest habitat by Hurricane

  6. Loop Current warming by Hurricane Wilma L.-Y. Oey,1

    E-Print Network [OSTI]

    Ezer, Tal

    /16$26/2005) is the most powerful At- lantic hurricane on record. The storm's minimum surface pressure. On the other hand, less is known about the effects of a hurricane on the powerful Loop Current, where strong] for a review of the Loop Current and general circulation in the Gulf of Mexico). 2. Methodology [4] To analyze

  7. Assessment of the Potential Effect of Climate Change on Hurricane Risk and Vulnerability in Florida

    E-Print Network [OSTI]

    Ruiz, Michelle

    2014-12-05T23:59:59.000Z

    to these powerful storms. Hurricane return periods were calculated for all Florida counties based on 1900-2010. Hurricane landfalls were quantified using a dynamic wind model which allowed for the spatial extent of each storm to be examined. A meta...

  8. Hurricane Katrina's Carbon Footprint on U.S. Gulf Coast Forests

    E-Print Network [OSTI]

    Chambers, Jeff

    Hurricane Katrina's Carbon Footprint on U.S. Gulf Coast Forests Jeffrey Q. Chambers,1 * Jeremy I carbon sink is an increase in disturbance frequency and intensity (4), which transfers bio- mass from and lower biomass stocks (5). Here, we quantify hurricane Katrina's carbon impact on Gulf Coast forests

  9. Morphological barrier island changes and recovery of dunes after Hurricane Dennis, St. George Island, Florida

    E-Print Network [OSTI]

    Fagherazzi, Sergio

    of the barrier island are analyzed, along with the short-term post-storm recovery of secondary dunes. ResultsMorphological barrier island changes and recovery of dunes after Hurricane Dennis, St. George September 2009 Keywords: Dune recovery LiDAR Overwash Hurricane Dennis Barrier island During the summer

  10. Partitioning of energy in the wake of Hurricane Allen

    E-Print Network [OSTI]

    Eble, Marie Cecilia

    1984-01-01T23:59:59.000Z

    of a two-layer ocean to a hurricane translating with constant speed. He found the baroclinic response to consist of both a pattern of upwelling and an inertio-gravity wave in the wake of the storm. He found the wake response to be highly dependent... on the storm's translation speed, with the greatest response occurring for a storm speed much larger than the baroclinic long wave speed. Once dispersion of the wake occurred, a geostrophically-balanced ridge was found to remain in the interface height...

  11. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    futures contract as buyers gave some indication that they expect future supplies of natural gas to be more robust than at the present. After exceeding 1.90 per MMBtu on Monday,...

  12. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    temperatures in most parts of the Midwest and the East continues to reduce demand for natural gas and is keeping both cash and futures prices at their lowest levels in over 3...

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    U.S. Energy Information Administration (EIA) Indexed Site

    in specific markets showed a wide range of price changes. According to the BLS data, natural gas prices in February to residential consumers in Washington, DC declined 6.2...

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    Spot Prices: Moderating temperatures have removed much of the price pressure on natural gas at major market locations as posted prices were generally below 3.00 per MMBtu by the...

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    first period of low temperatures have impacted markets throughout the country as natural gas prices continue to be 1.00 to 3.00 higher at most major market centers. The...

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    6, 1997 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

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  9. Weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOE Reserve Class0, 1997

  10. Weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOE Reserve Class0, 19977,

  11. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M E X

  12. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M E

  13. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M

  14. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M6,

  15. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M6,3,

  16. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y

  17. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y7,

  18. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y7,3,

  19. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y7,3,0,

  20. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N

  1. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4, 1997

  2. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4, 1997,

  3. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4,

  4. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4,7,

  5. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4,7,4,

  6. weekly

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4,7,4,1,

  7. Improvement of risk estimate on wind turbine tower buckled by hurricane

    E-Print Network [OSTI]

    Li, Jingwei

    2013-01-01T23:59:59.000Z

    Wind is one of the important reasonable resources. However, wind turbine towers are sure to be threatened by hurricanes. In this paper, method to estimate the number of wind turbine towers that would be buckled by hurricanes is discussed. Monte Carlo simulations show that our method is much better than the previous one. Since in our method, the probability density function of the buckling probability of a single turbine tower in a single hurricane is obtained accurately but not from one approximated expression. The result in this paper may be useful to the design and maintenance of wind farms.

  8. Predicting hurricane regional landfall rates: comparing local and basin-wide track model approaches

    E-Print Network [OSTI]

    Hall, T; Hall, Tim; Jewson, Stephen

    2006-01-01T23:59:59.000Z

    We compare two methods for making predictions of the climatological distribution of the number of hurricanes making landfall along short sections of the North American coastline. The first method uses local data, and the second method uses a basin-wide track model. Using cross-validation we show that the basin-wide track model gives better predictions for almost all parts of the coastline. This is the first time such a comparison has been made, and is the first rigourous justification for the use of basin-wide track models for predicting hurricane landfall rates and hurricane risk.

  9. National Nuclear Science Week 2012 - SRSCRO

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    to Know Nuclear National Nuclear Science Week January 23 - 27, 2012 Fostering a deeper public understanding Logos for: National Nuclear Science Week, Nuclear Workforce Initiative,...

  10. AUGUST 15, 2012 This Week...

    E-Print Network [OSTI]

    Peak, Derek

    .5% in Alberta. The lower infla on rates this year are mainly because gasoline prices have stopped increasingAUGUST 15, 2012 This Week... Crime Rates Employment Food Prices Retail Sales Crime Rates By Doug Prices In the first half of 2012, the rate of infla on in the West has been lower than in 2011 and

  11. Start Date: Hours per Week

    E-Print Network [OSTI]

    Garfunkel, Eric

    Wednesday Thursday Friday Saturday Sunday Storming Robots Technology Learning Institution 3322 Rt. 22 West, Suite 402 Branchburg NJ 08876 Elizabeth Mabrey emabrey@stormingrobots.com 908-595-1010 Robotics Instructor / Assistant $15 to $30 Any Time from 2 to 12 hours per week one 1) Instructor/Assistant

  12. Livestock Seasonal Price Variation

    E-Print Network [OSTI]

    Davis, Ernest E.; Sartwelle III, James D.; Mintert, James R.

    1999-09-21T23:59:59.000Z

    that number by the index of the future month for which the price forecast is being determined. For example, if June Amarillo direct fed cattle prices averaged $64 per hun- dredweight (cwt.), the forecast for October would be $64 divided by 97.12, multiplied... by 99.04 = $65.27 per cwt. Adjusting for the vari- ability suggests that there is a 68 percent proba- bility that the October monthly average price would fall between $70.67 cwt. and $59.87 cwt. Seasonal Price Index for Amarillo Direct Fed Steers...

  13. Effects of Hurricane Katrina on the Mammalian and Vegetative Communities of the Barrier Islands of Mississippi

    E-Print Network [OSTI]

    Scoggin, Annaliese K.

    2010-01-14T23:59:59.000Z

    The barrier islands of the gulf coast of the U.S. have been shaped and changed by hurricanes for centuries. These storms can alter the vegetation of the barrier islands by redistributing sediments, scouring off vegetation, physical damage...

  14. Hurricane wake restratification rates of one-, two- and three-dimensional processes

    E-Print Network [OSTI]

    Haney, S.

    The restratification of the cold wakes of Tropical Cyclones Fanapi, Frances, Igor and Katrina are examined based on derived scalings for processes that can restore the hurricane wake toward the precyclone conditions. The ...

  15. The Office of Electricity Delivery and Energy Reliability is Closely Monitoring Hurricane Irene (2011)

    Broader source: Energy.gov [DOE]

    The Department of Energy’s (DOE) Office of Electricity Delivery and Energy Reliability (OE) is closely monitoring Hurricane Irene as it travels up the U.S. coast and is publishing Situation Reports.

  16. The Forgotten Storm: The Implications of Agenda Setting on Hurricane Ike‘s National Relevance 

    E-Print Network [OSTI]

    Sudduth, Amanda Michelle

    2012-10-19T23:59:59.000Z

    This study utilized content analysis of newspaper articles in the month following Hurricane Ike's landfall to evaluate the presence of agenda setting and framing. Three national newspapers were analyzed to determine the existence and order of news...

  17. The Dynamic Effects of Hurricanes in the US: The Role of Non-Disaster Transfer Payments

    E-Print Network [OSTI]

    Deryugina, Tatyana

    We know little about the dynamic economic impacts of natural disasters. I examine the effect of hurricanes on US counties’ economies 0-10 years after landfall. Overall, I find no substantial changes in county population, ...

  18. Hurricane risk analysis: A review on the physically-based approach

    E-Print Network [OSTI]

    Lin, Ning

    This paper reviews recent studies that take a physically-based approach to better assess and manage hurricane risk. Such a methodology includes three components: modeling the storm climatology (which defines TC risk in ...

  19. Simulating Turbulent Wind Fields for Offshore Turbines in Hurricane-Prone Regions (Poster)

    SciTech Connect (OSTI)

    Guo, Y.; Damiani, R.; Musial, W.

    2014-04-01T23:59:59.000Z

    Extreme wind load cases are one of the most important external conditions in the design of offshore wind turbines in hurricane prone regions. Furthermore, in these areas, the increase in load with storm return-period is higher than in extra-tropical regions. However, current standards have limited information on the appropriate models to simulate wind loads from hurricanes. This study investigates turbulent wind models for load analysis of offshore wind turbines subjected to hurricane conditions. Suggested extreme wind models in IEC 61400-3 and API/ABS (a widely-used standard in oil and gas industry) are investigated. The present study further examines the wind turbine response subjected to Hurricane wind loads. Three-dimensional wind simulator, TurbSim, is modified to include the API wind model. Wind fields simulated using IEC and API wind models are used for an offshore wind turbine model established in FAST to calculate turbine loads and response.

  20. Influence of Tropical Tropopause Layer Cooling on Atlantic Hurricane Activity KERRY EMANUEL AND SUSAN SOLOMON

    E-Print Network [OSTI]

    Rothman, Daniel

    , Switzerland SEAN DAVIS NOAA/Earth System Research Laboratory, Chemical Sciences Division, and CooperativeInfluence of Tropical Tropopause Layer Cooling on Atlantic Hurricane Activity KERRY EMANUEL Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, Colorado

  1. Parameterization of Maximum Wave Heights Forced by Hurricanes: Application to Corpus Christi, Texas

    E-Print Network [OSTI]

    Taylor, Sym 1978-

    2012-12-07T23:59:59.000Z

    sensitivity based on the investigation of several hurricane parameters. Also presented is the development of parameterized maximum significant wave height models. These are determined by incorporating three forms of an equivalent fetch into (1) dimensionless...

  2. Technical Note LiDAR-derived measures of hurricane-and restoration-generated beach

    E-Print Network [OSTI]

    Weishampel, John F.

    are particularly vulnerable, as they rely on specific beaches for reproduction and exhibit high-nest-site fidelityTechnical Note LiDAR-derived measures of hurricane- and restoration-generated beach morphodynamics

  3. Environmental Health and Safety Laboratory Preparation for Tropical Storms or Hurricanes

    E-Print Network [OSTI]

    Natelson, Douglas

    Environmental Health and Safety Laboratory Preparation for Tropical Storms or Hurricanes damage, significant rainfall and possible campus flooding. Below are some guidelines that should exits and corridors are clear. Someone from the Environmental Health and Safety Department

  4. An objective change-point analysis of historical Atlantic hurricane numbers

    E-Print Network [OSTI]

    Jewson, S; Jewson, Stephen; Penzer, Jeremy

    2006-01-01T23:59:59.000Z

    We perform an objective change-point analysis on 106 years of historical hurricane number data. The algorithm we use looks at all possible combinations of change-points and compares them in terms of the variances of the differences between real and modelled numbers. Overfitting is avoided by using cross-validation. We identify four change-points, and show that the presence of temporal structure in the hurricane number time series is highly statistically significant.

  5. Military Construction Appropriations and Emergency Hurricane Supplemental Appropriations Act, 2005 (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01T23:59:59.000Z

    H.R. 4837, The Military Construction Appropriations and Emergency Hurricane Supplemental Appropriations Act, 2005, was signed into law on October 13, 2004. The Act provides for construction to support the operations of the U.S. Armed Forces and for military family housing. It also provides funds to help citizens in Florida and elsewhere in the aftermath of multiple hurricanes and other natural disasters. In addition, it authorizes construction of an Alaska Natural Gas Pipeline.

  6. Baseline Design of a Hurricane-Resilient Wind Turbine (Poster)

    SciTech Connect (OSTI)

    Damiani, R.; Robertson, A.; Schreck, S.; Maples, B.; Anderson, M.; Finucane, Z.; Raina, A.

    2014-10-01T23:59:59.000Z

    Under U.S. Department of Energy-sponsored research FOA 415, the National Renewable Energy Laboratory led a team of research groups to produce a complete design of a large wind turbine system to be deployable in the western Gulf of Mexico region. As such, the turbine and its support structure would be subjected to hurricane-loading conditions. Among the goals of this research was the exploration of advanced and innovative configurations that would help decrease the levelized cost of energy (LCOE) of the design, and the expansion of the basic IEC design load cases (DLCs) to include hurricane environmental conditions. The wind turbine chosen was a three-bladed, downwind, direct-drive, 10-MW rated machine. The rotor blade was optimized based on an IEC load suite analysis. The drivetrain and nacelle components were scaled up from a smaller sized turbine using industry best practices. The tubular steel tower was sized using ultimate load values derived from the rotor optimization analysis. The substructure is an innovative battered and raked jacket structure. The innovative turbine has also been modeled within an aero-servo-hydro-elastic tool, and future papers will discuss results of the dynamic response analysis for select DLCs. Although multiple design iterations could not be performed because of limited resources in this study, and are left to future research, the obtained data will offer a good indication of the expected LCOE for large offshore wind turbines to be deployed in subtropical U.S. waters, and the impact design innovations can have on this value.

  7. SUMMARY OF 2009 ATLANTIC TROPICAL CYCLONE ACTIVITY AND VERIFICATION OF AUTHOR'S SEASONAL AND 15-DAY FORECASTS

    E-Print Network [OSTI]

    Gray, William

    , hurricanes and major hurricanes, respectively. 3 #12;DEFINITIONS AND ACRONYMS Accumulated Cyclone Energy (ACE Energy (ACE) (96.2) 125 100 85 80 50 Net Tropical Cyclone Activity (NTC) (100%) 135 105 90 85 66 Figure.25 Major Hurricanes (MH) (2.3) 3 2 2 2 2 Major Hurricane Days (MHD) (5.0) 7 5 4 4 3.25 Accumulated Cyclone

  8. Hurricane Andrew's impact on natural gas and oil facilities on the outer continental shelf (interim report as of November 1993)

    SciTech Connect (OSTI)

    Daniels, G.R.

    1994-01-01T23:59:59.000Z

    The interim report reviews Hurricane Andrew's impact on Federal Outer Continental Shelf (OCS) natural gas and oil drilling and production facilities. The report provides background on Hurricane Andrew's progression, discusses how OCS operators responded to the storm, summarizes the types of damage to offshore facilies caused by Hurricane Andrew, and discusses Minerals Management Service's continuing damage assessment and repair efforts. The summaries of damage estimates are presented in tables in Appendix 1. A glossary of report terminology is provided in Appendix 2.

  9. Open Access Week Planning Materials

    E-Print Network [OSTI]

    /Project Coordinator update as programming is confirmed Landing page updated Web & Information Designer library.tamu.edu/oaweek, completed 7/31 Set up binder for OAW 2012 Project Coordinator 1" binder and sheet protectors E-mail Office Associate, Dean's Office... to request van for OA week Project Coordinator Confirmation e-mail received from Office Associate Dean's Office on 8/7/2012; pick up van Monday 10/22-return 10/25. Fill out "Usage Request" form for Agriculture & Life Science Complex Recommended...

  10. Weekly Petroleum Status Report Schedule

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand expected2 FigureWeekly

  11. Weekly Natural Gas Storage Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEureka AnalyticsLargeHome|WebsiteWeekly

  12. Regional-seasonal weather forecasting

    SciTech Connect (OSTI)

    Abarbanel, H.; Foley, H.; MacDonald, G.; Rothaus, O.; Rudermann, M.; Vesecky, J.

    1980-08-01T23:59:59.000Z

    In the interest of allocating heating fuels optimally, the state-of-the-art for seasonal weather forecasting is reviewed. A model using an enormous data base of past weather data is contemplated to improve seasonal forecasts, but present skills do not make that practicable. 90 references. (PSB)

  13. White House Council of Economic Advisers and Energy Department...

    Energy Savers [EERE]

    D.C., May 8, 2013. | Official White House Photo by Pete Souza. Smart Grid Week: Hurricane Season and the Department's Efforts to Make the Grid More Resilient to Power Outages...

  14. NOVA Making Stuff Season 2

    SciTech Connect (OSTI)

    Leombruni, Lisa; Paulsen, Christine Andrews

    2014-12-12T23:59:59.000Z

    Over the course of four weeks in fall 2013, 11.7 million Americans tuned in to PBS to follow host David Pogue as he led them in search of engineering and scientific breakthroughs poised to change our world. Levitating trains, quantum computers, robotic bees, and bomb-detecting plants—these were just a few of the cutting-edge innovations brought into the living rooms of families across the country in NOVA’s four-part series, Making Stuff: Faster, Wilder, Colder, and Safer. Each of the four one-hour programs gave viewers a behind-the-scenes look at novel technologies poised to change our world—showing them how basic research and scientific discovery can hold the keys to transforming how we live. Making Stuff Season 2 (MS2) combined true entertainment with educational value, creating a popular and engaging series that brought accessible science into the homes of millions. NOVA’s goal to engage the public with such technological innovation and basic research extended beyond the broadcast series, including a variety of online, educational, and promotional activities: original online science reporting, web-only short-form videos, a new online quiz-game, social media engagement and promotion, an educational outreach “toolkit” for science educators to create their own “makerspaces,” an online community of practice, a series of nationwide Innovation Cafés, educator professional development, a suite of teacher resources, an “Idealab,” participation in national conferences, and specialized station relation and marketing. A summative evaluation of the MS2 project indicates that overall, these activities helped make a significant impact on the viewers, users, and participants that NOVA reached. The final evaluation conducted by Concord Evaluation Group (CEG) confidently concluded that the broadcast, website, and outreach activities were successful at achieving the project’s intended impacts. CEG reported that the MS2 series and website content were successful in raising awareness and sparking interest in innovation, and increased public awareness that basic research leads to technological innovation; this interest was also sustained over a six month period. Efforts to create an online community of practice were also successful: the quality of collaboration increased, and community members felt supported while using Maker pedagogy. These findings provide clear evidence that large-scale science media projects like MS2 are an effective means of “moving the needle” on attitudes about and excitement for science. NOVA’s broadcast audience and ratings have always indicated that a large portion of the population is interested in and engages with educational science media on a weekly basis. Yet these evaluation results provide the empirical evidence that beyond being capable of attracting, maintaining, and growing a dedicated group of citizens interested in science, these shows—with their diverse content provided on a variety of media channels—are capable of sparking new interest in science, raising public awareness of the importance of science, and maintaining and growing that interest over time. In a country where approximately a quarter of the population doesn’t know the earth rotates around the sun,1 roughly half still don’t accept evolution,2 and about 20% don’t think climate change is happening,3 the importance of these findings cannot be overstated. The success of MS2 suggests that large-scale media projects dedicated to and linked by coverage of scientific “big ideas” are an effective means of shifting public opinion on—and improving understanding of—science. REFERENCES 1, 2 National Science Foundation, Science and Engineering Indicators (2014). Chapter 7: Science and Technology: Public Attitudes and Understanding. 3 Leiserowitz, A., Maibach, E., Roser-Renouf, C., Feinberg, G., & Rosenthal, S. (2014) Climate change in the American mind: April, 2014. Yale University and George Mason University. New Haven, CT: Yale Project on Climate Change Communication.

  15. Winter fuels report: Week ending October 19, 1990

    SciTech Connect (OSTI)

    Not Available

    1990-10-25T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on the US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition and underground storage for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. The data will also be available electronically after 5:00 pm on Thursday during the heating season through the EIA Electronic Publication System (EPUB).

  16. Winter fuels report, week ending December 21, 1990. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1990-12-28T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD), I, II, and III; natural gas supply and disposition and underground storage for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. The data will also be available electronically after 5:00 p.m. on Thursday during the heating season through the EIA Electronic Publication System (EPUB). 34 figs., 12 tabs.

  17. Winter fuels report, week ending October 5, 1990

    SciTech Connect (OSTI)

    Not Available

    1990-10-11T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition and underground storage, for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. The data will also be electronically after 5:00 p.m. on Thursday during the heating season through the EIA Electronic Publication System (EPUB). See page ii for details. 12 tabs.

  18. Winter fuels report. Week ending: October 13, 1995

    SciTech Connect (OSTI)

    NONE

    1995-10-19T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: distillate fuel oil net production, imports and stocks on a US level and for all Petroleum Administration for Defense Districts (PADD) and product supplied on a US level; propane net production, imports and stocks on a US level and for PADD`s I, II, and III; natural gas supply and disposition and underground storage for the US and consumption for all PADD`s, as well as selected National average prices; residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the US and selected cities; and a 6--10-Day and 30-Day outlook for temperature and precipitation and US total heating degree-days by city. This report is published weekly by the EIA starting the second week in October 1995 and will continue until the second week in April 1996. The data will also be available electronically after 5:00 p.m. on Wednesday and Thursday during the heating season through the EIA Electronic Publication System (EPUB). 36 figs., 13 tabs.

  19. The Role of Peer Deviance and Social Support in the Development of Symptoms of Internalizing Disorders among Youth Exposed to Hurricane Georges

    E-Print Network [OSTI]

    Schwartz, Sonia Lynne

    2011-04-26T23:59:59.000Z

    Adolescents exposed to hurricanes may be at risk to develop symptoms of internalizing disorders. The impact of hurricane exposure on peer systems may contribute to the emergence of symptoms of internalizing disorders. This study examined...

  20. RADARSAT ScanSAR Wind Retrieval Under Hurricane Conditions Congling Nie and David G. Long Department of Electrical and Computer Engineering,

    E-Print Network [OSTI]

    Long, David G.

    RADARSAT ScanSAR Wind Retrieval Under Hurricane Conditions Congling Nie and David G. Long-422-4884 Email:nie@mers.byu.edu ABSTRACT RADARSAT-1 ScanSAR SWA images of Hurricane Katrina are used to retrieve/s, suggesting that the high resolution wind retrieval algorithm can work under hurricane conditions. Except

  1. Advances and Challenges at the National Hurricane Center EDWARD N. RAPPAPORT, JAMES L. FRANKLIN, LIXION A. AVILA, STEPHEN R. BAIG,* JOHN L. BEVEN II,

    E-Print Network [OSTI]

    (Katrina of 2005), and the third strongest hurricane at U.S. landfall (Andrew of 1992). This period alsoAdvances and Challenges at the National Hurricane Center EDWARD N. RAPPAPORT, JAMES L. FRANKLIN/National Weather Service/National Hurricane Center, Miami, Florida (Manuscript received 9 February 2008, in final

  2. Analysis of seasonal and day-of-week traffic patterns at national parks

    E-Print Network [OSTI]

    Liggett, Lindsay Elizabeth

    2009-05-15T23:59:59.000Z

    The National Park Service (NPS) is currently contemplating the implementation of a system-wide traffic monitoring program. While several of the national parks within this network collect continuous vehicle data at multiple stations within each park...

  3. Moist multi-scale models for the hurricane embryo

    SciTech Connect (OSTI)

    Majda, Andrew J. [New York University; Xing, Yulong [ORNL; Mohammadian, Majid [University of Ottawa, Canada

    2010-01-01T23:59:59.000Z

    Determining the finite-amplitude preconditioned states in the hurricane embryo, which lead to tropical cyclogenesis, is a central issue in contemporary meteorology. In the embryo there is competition between different preconditioning mechanisms involving hydrodynamics and moist thermodynamics, which can lead to cyclogenesis. Here systematic asymptotic methods from applied mathematics are utilized to develop new simplified moist multi-scale models starting from the moist anelastic equations. Three interesting multi-scale models emerge in the analysis. The balanced mesoscale vortex (BMV) dynamics and the microscale balanced hot tower (BHT) dynamics involve simplified balanced equations without gravity waves for vertical vorticity amplification due to moist heat sources and incorporate nonlinear advective fluxes across scales. The BMV model is the central one for tropical cyclogenesis in the embryo. The moist mesoscale wave (MMW) dynamics involves simplified equations for mesoscale moisture fluctuations, as well as linear hydrostatic waves driven by heat sources from moisture and eddy flux divergences. A simplified cloud physics model for deep convection is introduced here and used to study moist axisymmetric plumes in the BHT model. A simple application in periodic geometry involving the effects of mesoscale vertical shear and moist microscale hot towers on vortex amplification is developed here to illustrate features of the coupled multi-scale models. These results illustrate the use of these models in isolating key mechanisms in the embryo in a simplified content.

  4. Project Webpage: http://www.engr.colostate.edu/~jwv/hurricane-Katrina-woodframe/ (Beginning Nov. 1) A Preliminary Report

    E-Print Network [OSTI]

    Gupta, Rakesh

    Project Webpage: http://www.engr.colostate.edu/~jwv/hurricane-Katrina-woodframe/ (Beginning Nov. 1) A Preliminary Report Damage Assessment of Woodframe Residential Structures in the Wake of Hurricane Katrina John W. van de Lindt, Colorado State University Andrew J. Graettinger, University of Alabama Rakesh Gupta

  5. Preservation of in situ reef framework in regions of low hurricane frequency: Pleistocene of Curacao and Bonaire,

    E-Print Network [OSTI]

    Greenstein, Benjamin J.

    frequency of disturbance by severe storms, because the frequency distribution of tropical cyclonesPreservation of in situ reef framework in regions of low hurricane frequency: Pleistocene of Curac framework in regions of low hurricane frequency: Pleistocene of CuracËao and Bonaire, southern Caribbean

  6. SEASON EXTENSION AT CORNERCOPIA STUDENT

    E-Print Network [OSTI]

    Amin, S. Massoud

    SEASON EXTENSION AT CORNERCOPIA STUDENT ORGANIC FARM: MICROGREENS, HIGH TUNNELS AND A FEW OTHER are the Petite Green Size first 4-6" of growth clipped at the base of the plant Photo: Ted Morrison/Food

  7. Synoptic analysis of near surface and subsurface temperatures in the Atlantic Ocean following hurricane BETSY

    E-Print Network [OSTI]

    Landis, Robert Clarence

    1966-01-01T23:59:59.000Z

    pressures Sea Surface Temperature Pattern before Hurricane Betsy 26 Sea Surface Temperature Pattern after Hur ricane Betsy 27 Seven-Day Average Sea Surface Temperatures; 23 - 29 August 1965 28 Seven-Day Average Sea Surface Temperatures; 8 - 14.... SHIIDEO ARE o IS / / / WATER 79'-80' F 73' 72' 71' BT NO. Ie 28 38 48 58 BETSY FIG, IB. SUBSURFACE THERMAL STRUCTURE BEFORE HURRICANE BETSY ALONG SECTION A. 204 21' 22' NORTH LATITUDE 23' 24' 25' 26 27' 28' 82. 5' 80. 5' 100 I 200 IJI IJI IJ...

  8. Capacities of template-type platforms in the Gulf of Mexico during hurricane Andrew

    SciTech Connect (OSTI)

    Bea, R.G.; Loch, K.J.; Young, P.L. [Univ. of California, Berkeley, CA (United States)

    1997-02-01T23:59:59.000Z

    This paper details results from nonlinear analyses of the ultimate limit state performance characteristics of four Gulf of Mexico (GOM) platforms subjected to intense loadings from hurricane Andrew. These four platforms were located to the east of the track of hurricane Andrew, and were thus in the most intense portion of the storm (Smith, 1993). The nonlinear analyses are able to replicate details of the observed behavior of the four structures. This replication is very dependent on realistic characterization of the performance characteristics of the pile foundations and on accurate information on the as is condition of the platforms before the storm.

  9. Cyclone-cyclone Interactions through the Ocean Pathway

    SciTech Connect (OSTI)

    Balaguru, Karthik; Taraphdar, Sourav; Leung, Lai-Yung R.; Foltz, Gregory R.; Knaff, John A.

    2014-10-16T23:59:59.000Z

    The intense SST (Sea Surface Temperature) cooling caused by hurricane-induced mixing is restored at timescales on the order of weeks(1) and thus may persist long enough to influence a later hurricane passing over it. Though many studies have evaluated the effects of SST cool-ing induced by a hurricane on its own intensification(2, 3), none has looked at its effect on later storms. Using an analysis of observations and numerical model simulations, we demonstrate that hurricanes may influence the intensity of later hurricanes that pass over their linger-ing wakes. On average, when hurricanes encounter cold wakes, they experience SSTs that are ~0.4oC lower than when they do not encounter wakes and consequently decay(intensify) at a rate that is nearly three times faster(slower). In the region of warm SSTs (* 26.5oC) where the most intense and damaging hurricanes tend to occur, the percentage of hurricanes that encounter lingering cold wakes increases with hurricane frequency and was found to be as high as 40%. Furthermore, we estimate that the cumulative power dissipated(4) by the most energetic hurricanes has been reduced by as much as ~7% in a season through this effect. As the debate on changes in Atlantic hurricane activity associated with global warming(5) continues, the negative feedback between hurricane frequency and intensity resulting from hurricane-hurricane interactions through the ocean pathway deserves attention.

  10. GRADUATE STUDENT COURSE ASSIGNMENTS Block 0 Analysis ---Fefferman Week 1

    E-Print Network [OSTI]

    May, J. Peter

    Lewicka Weeks 1­8 Block 5 Apprentice Program --- Abert Babai May Weeks 1*­4 Week 1 Week 2 Week 3 Week 4­8) Bremer (7­8), Carstea, Gurski, Morris, Rule Block 5 (Apprentice) (weeks 1­4, possibly 5­8) Abouzaid and by mentoring group Name Block Weeks Mentoring Mohammed Abouzaid 5 4 weeks (first 4) Apprentice David Balduzzi 2

  11. PROBLEM OF THE WEEK - Purdue University

    E-Print Network [OSTI]

    1911-01-11T23:59:59.000Z

    Jan 25, 2011 ... air resistance, find the maximum height above the roadway which the ... week and invites college & pre-college students, faculty, and staff to ...

  12. Department of Mathematics: Problem of the Week

    E-Print Network [OSTI]

    A panel in the Mathematics Department publishes a challenging problem once a week and invites college & pre-college students, faculty, and staff to submit ...

  13. WEEK OF WELCOME EVENTS Sunday, August 17

    E-Print Network [OSTI]

    Collins, Gary S.

    Cougar Card during this week*** Cougs Play Day (9:00 a.m.-7:00 p.m., Student Recreation Center): A full

  14. Ensemble Kalman Filter Assimilation of Simulated HIWRAP Doppler Velocity Data in a Hurricane

    E-Print Network [OSTI]

    Ensemble Kalman Filter Assimilation of Simulated HIWRAP Doppler Velocity Data in a Hurricane JASON (Manuscript received 29 May 2012, in final form 16 January 2013) ABSTRACT This study utilizes ensemble Kalman Kalman filter (EnKF) assimilation of high-resolution observations from tropical cyclones can improve

  15. Energy budgets of Atlantic hurricanes and changes from 1970 Kevin E. Trenberth and John Fasullo

    E-Print Network [OSTI]

    Fasullo, John

    . NOAA's Accumulated Cyclone Energy (ACE) index [Levinson and Waple, 2004] approx- imates the collectiveEnergy budgets of Atlantic hurricanes and changes from 1970 Kevin E. Trenberth and John Fasullo of the current observational record of tropical cyclones and sea surface temperatures (SSTs) in the Atlantic

  16. Hurricane "Rainfall Potential" Derived from Satellite Observations Aids Overland Rainfall Prediction

    E-Print Network [OSTI]

    Jiang, Haiyan

    is used to quantify the rainfall distribution in tropical cyclones that made landfall in the United States storm total rain over land in the United States. The range of the maximum storm overland rain forecast associated with hurricanes in the United States (Rappaport 2000). Skill in tropical cyclone (TC) track

  17. Intelligibility-enhancing speech modifications: the Hurricane Challenge Martin Cooke1,2

    E-Print Network [OSTI]

    Edinburgh, University of

    Intelligibility-enhancing speech modifications: the Hurricane Challenge Martin Cooke1,2 , Catherine to enhance speech intelligibility. Eighteen systems operating on a common data set were subjected to ex interest in tackling what has been termed the `near-end' speech enhancement problem [7­15]. Consequently

  18. Role of anomalous warm gulf waters in the intensification of Hurricane Menas Kafatos,1

    E-Print Network [OSTI]

    Sun, Donglian

    coincident with the distribution of warm waters or high sea surface temperature (SST). High SST values Donglian Sun,1 Ritesh Gautam,1 Zafer Boybeyi,1 Ruixin Yang,1 and Guido Cervone1 Received 18 April 2006 the Gulf States, especially Hurricane Katrina. Remarkable similarities between sea surface temperature

  19. Near-Inertial Wave Wake of Hurricanes Katrina and Rita over Mesoscale Oceanic Eddies

    E-Print Network [OSTI]

    Miami, University of

    Near-Inertial Wave Wake of Hurricanes Katrina and Rita over Mesoscale Oceanic Eddies BENJAMIN; Jaimes and Shay 2009, hereafter JS09). These robust mesoscale oceanic features are present at any time (Jaimes 2009). This mesoscale ocean variability imposed important dynamical constraints on the OML

  20. Risk Analysis DOI: 10.1111/risa.12085 Quantifying the Hurricane Catastrophe Risk to Offshore

    E-Print Network [OSTI]

    Jaramillo, Paulina

    to generate 20% of its electricity from wind. Developers are actively planning offshore wind farms along the URisk Analysis DOI: 10.1111/risa.12085 Quantifying the Hurricane Catastrophe Risk to Offshore Wind of Energy has estimated that over 50 GW of offshore wind power will be required for the United States

  1. Loop Current Mixed Layer Energy Response to Hurricane Lili (2002). Part II: Idealized Numerical Simulations

    E-Print Network [OSTI]

    Miami, University of

    Loop Current Mixed Layer Energy Response to Hurricane Lili (2002). Part II: Idealized Numerical horizontal pressure gradient, wind energy transfer to the mixed layer can be more efficient in such a regime as compared to the case of an initially horizontally homogeneous ocean. However, nearly all energy is removed

  2. Atlantic warm pool, Caribbean low-level jet, and their potential impact on Atlantic hurricanes

    E-Print Network [OSTI]

    Wang, Chunzai

    Atlantic warm pool, Caribbean low-level jet, and their potential impact on Atlantic hurricanes than 28.5°C) that appears in the Gulf of Mexico, the Caribbean Sea, and the western tropical North the tropical North Atlantic into the Caribbean Sea where the flow intensifies forming the Caribbean Low

  3. Coastal Trapped Waves Generated By Hurricane Andrew on the Texas-Louisiana Shelf

    E-Print Network [OSTI]

    Pearce, Stuart

    2012-02-14T23:59:59.000Z

    The Texas-Louisiana Shelf Circulation and Transport Study featured moorings that covered the shelf during 1992 to 1994, and captured the oceanic response on the shelf to category 4 Hurricane Andrew in August of 1992. Eighty-one current meters...

  4. Effects of Hurricanes Katrina and Rita on the Chemistry of Bottom Sediments in Lake Pontchartrain, La.

    E-Print Network [OSTI]

    Effects of Hurricanes Katrina and Rita on the Chemistry of Bottom Sediments in Lake Pontchartrain, gasoline stations, automobiles, industrial facilities, commercial buildings and houses, and historically was to characterize the effect of the discharge of flood waters from New Orleans on the sediment chemistry of Lake

  5. The Impact of Climate Change on Hurricane Flooding Inundation, Property Damages, and Population Affected

    E-Print Network [OSTI]

    Frey, Ashley E.

    2010-07-14T23:59:59.000Z

    Bret Low Estimate 2030 ... 58 19 Flood Building Loss Estimation ................................................................. 61 xiii FIGURE...) studied historical shoreline changes in the Gulf of Mexico. In addition to sea level, hurricanes and other strong storms can also greatly affect the morphology of barrier islands. This has been a popular topic of research in the past few years...

  6. 1999-2009: Has the intensity and frequency of hurricanes increased ?

    E-Print Network [OSTI]

    Hatton, Les

    or causes of global warming. It simply analyses relevant quoted data and publishes the data in such a way Abstract One of the often quoted side-effects of global warming is an in- crease in the frequency that it can be easily checked by others. Keywords: Severe weather event frequency, Hurricanes, global warming

  7. A GIS study for determining hurricane risk areas and estimating population, Texas Coastal Counties

    E-Print Network [OSTI]

    Blakely, Christopher Todd

    1997-01-01T23:59:59.000Z

    The objectives of this study are to create and implement a new Geographic Information System (GIS) for the definition of areas along the Texas coast at risk from hurricane impacts and to estimate populations for those areas. The threat to lives...

  8. Public Housing after Hurricane, Urban Renewal or Removal? The Case Studies of Beaumont and Galveston, Texas.

    E-Print Network [OSTI]

    Tran, Tho Ngo Duc

    2013-05-01T23:59:59.000Z

    , such as floodplains or other low-lying areas. When disasters such as hurricanes strike, housing located in these areas is likely to receive the greatest damage and recovery may be slower. This study looks at the case study of public housing in Galveston and Beaumont...

  9. Administration and Finance Weekly Activity Report

    E-Print Network [OSTI]

    Nishiguchi, Michele

    Hearings for FY2014 - 2015 Equipment Renewal and Replacement Funding ­ The University Budget Committee (UBC) met on June 4th and 5th to hear requests from colleges and units for ERR funding for FY 2015· Administration and Finance · Weekly Activity Report · Week Ending: June 6, 2014 · · Budget

  10. Administration and Finance Weekly Activity Report

    E-Print Network [OSTI]

    Administration and Finance Weekly Activity Report Week Ending: February 28, 2014 · Administration and Finance Website ­ The website for Administration and Finance has been successfully migrated into NMSU Administration and Finance forms page. · New Collections System ­ Working in conjunction with the University

  11. university-logo Induction Week: Welcome

    E-Print Network [OSTI]

    Koehn, Philipp

    university-logo Induction Week: Welcome Alex Lascarides TH E U N I V E R S ITY OF E D I N B U R G H September, 2012 Alex Lascarides PhD Induction Week #12;university-logo Welcome People Alex Lascarides;university-logo What the IGS does for PhD students Admissions and funding Supervisory arrangements Monitoring

  12. Effect of Hurricane Andrew on the Turkey Point Nuclear Generating Station from August 20--30, 1992. [Final report

    SciTech Connect (OSTI)

    Hebdon, F.J. [Institute of Nuclear Power Operations, Atlanta, GA (United States)

    1993-03-01T23:59:59.000Z

    On August 24, 1992, Hurricane Andrew, a Category 4 hurricane, struck the Turkey Point Electrical Generating Station with sustained winds of 145 mph (233 km/h). This is the report of the team that the US Nuclear Regulatory Commission (NRC) and the Institute of Nuclear Power Operations (INPO) jointly sponsored (1) to review the damage that the hurricane caused the nuclear units and the utility`s actions to prepare for the storm and recover from it, and (2) to compile lessons that might benefit other nuclear reactor facilities.

  13. The response to Hurricane Katrina : a study of the Coast Guard's culture, organizational design & leadership in crisis

    E-Print Network [OSTI]

    Sanial, Gregory J

    2007-01-01T23:59:59.000Z

    Hurricane Katrina slammed into the United States Gulf Coast early on August 28, 2005 killing almost 2,000 people and causing $81 billion in damages making Katrina the costliest natural disaster in United States history. ...

  14. A comparative study of single family and multifamily housing recovery following 1992 Hurricane Andrew in Miami-Dade County, Florida

    E-Print Network [OSTI]

    Lu, Jing-Chein

    2009-05-15T23:59:59.000Z

    examines the recovery of single family, duplex, and apartment complex housing in south Miami-Dade County, Florida, after 1992 Hurricane Andrew to determine if there is indeed a "multifamily home lag." This research also provides a better understanding...

  15. How to Construct a Seasonal Index

    E-Print Network [OSTI]

    Tierney Jr., William I.; Waller, Mark L.; Amosson, Stephen H.

    1999-07-12T23:59:59.000Z

    For many crops, seasonality is often the dominant factor influencing prices within a single production period. This publication explains how to construct and use several kinds of seasonal indexes for crop marketing information....

  16. A technique for using synoptic analogs to predict the development of tropical depressions into North Atlantic hurricanes

    E-Print Network [OSTI]

    Grimm, David Alan

    1979-01-01T23:59:59.000Z

    A TECHNIQUE FOR USING SYNOPTIC ANALOGS TO PREDICT THE DEVELOPMENT OF TROPICAL DEPRESSIONS INTO NORTH ATLANTIC HURRICANES A Thesis by DAVID ALAN GRIMM Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE May 1979 Major Subject: Meteorology A TECHNIQUE FOR USING SYNOPTIC ANALOGS TO PREDICT THE DEVELOPMENT OF TROPICAL DEPRESSIONS INTO NORTH ATLANTIC HURRICANES A Thesis by DAVID ALAN GRIMM Approved...

  17. Strategies for Aligning Program Demand with Contractor's Seasonal...

    Energy Savers [EERE]

    Aligning Program Demand with Contractor's Seasonal Fluctuations Strategies for Aligning Program Demand with Contractor's Seasonal Fluctuations Better Buildings Neighborhood Program...

  18. Aeroelastic Modeling of Offshore Turbines and Support Structures in Hurricane-Prone Regions (Poster)

    SciTech Connect (OSTI)

    Damiani, R.

    2014-03-01T23:59:59.000Z

    US offshore wind turbines (OWTs) will likely have to contend with hurricanes and the associated loading conditions. Current industry standards do not account for these design load cases (DLCs), thus a new approach is required to guarantee that the OWTs achieve an appropriate level of reliability. In this study, a sequentially coupled aero-hydro-servo-elastic modeling technique was used to address two design approaches: 1.) The ABS (American Bureau of Shipping) approach; and 2.) The Hazard Curve or API (American Petroleum Institute) approach. The former employs IEC partial load factors (PSFs) and 100-yr return-period (RP) metocean events. The latter allows setting PSFs and RP to a prescribed level of system reliability. The 500-yr RP robustness check (appearing in [2] and [3] upcoming editions) is a good indicator of the target reliability for L2 structures. CAE tools such as NREL's FAST and Bentley's' SACS (offshore analysis and design software) can be efficiently coupled to simulate system loads under hurricane DLCs. For this task, we augmented the latest FAST version (v. 8) to include tower aerodynamic drag that cannot be ignored in hurricane DLCs. In this project, a 6 MW turbine was simulated on a typical 4-legged jacket for a mid-Atlantic site. FAST-calculated tower base loads were fed to SACS at the interface level (transition piece); SACS added hydrodynamic and wind loads on the exposed substructure, and calculated mudline overturning moments, and member and joint utilization. Results show that CAE tools can be effectively used to compare design approaches for the design of OWTs in hurricane regions and to achieve a well-balanced design, where reliability levels and costs are optimized.

  19. Rebuilding for Sustainability: Spatial Analysis of Bolivar Peninsula after Hurricane Ike

    E-Print Network [OSTI]

    Subasinghe Arachchilage Don, Chamila Tharanga

    2012-02-14T23:59:59.000Z

    should be compromised (Al-Nammari, 2006; Berke & Beatley, 1997; Daher, 2000; Giddings, 2000; Hardy & Beeton, 2001; Lefevre, 2000; Mileti, 1999; NHRAIC, 2001; Rothrock, 2000). The 1987 Brundtland Commission report, Our Common Future, defines...), and the reconstruction two period (commemorative) (Berke & Beatley, 1997; Haas, Kates, & Bowden, 1978 However, for the purpose of this research study, the reconstruction phase is referred to as the time needed to repair a dwelling or a settlement after a hurricane...

  20. Study of sediment resuspension due to Hurricane Carla in Lavaca Bay, Texas

    E-Print Network [OSTI]

    Larm, Katherine, Dd 1970-

    1998-01-01T23:59:59.000Z

    produce a significant affect on the shoreline. Infrequent events, such as hurricanes, can significantly alter the coastal bathymetry and move large quantities of sediment. Wind speeds, wind directions, wave steepness, storm duration, tidal stage... like to thank my committee members, Prof. Billy Edge, Prof. Robin Autenrieth, and Prof. Goong Chen, for their guidance and gracious support. The technical support and assistance of Norm Scheffner and Mitch Brown of the Waterways Experiment Station...

  1. Brazil Week 2014Brazil Week 2014MONDAYMONDAY SEPT. 29SEPT. 29 Brazil Week is sponsored by: And co-sponsored by

    E-Print Network [OSTI]

    Bordenstein, Seth

    Brazil Week 2014Brazil Week 2014MONDAYMONDAY SEPT. 29SEPT. 29 Brazil Week is sponsored by: And co and the Brazil Week 2014 Student Committee. WEDNESDAYWEDNESDAY Oct. 1Oct. 1 THURSDAYTHURSDAY Oct. 2Oct. 2 by Professor Jay Coakley "Winners & LosersJay Coakley "Winners & Losers in Brazil: World Cupin Brazil: World

  2. Oceanic Control of Northeast Pacific Hurricane Activity at Interannual Timescales

    SciTech Connect (OSTI)

    Balaguru, Karthik; Leung, Lai-Yung R.; Yoon, Jin-Ho

    2013-10-16T23:59:59.000Z

    Despite the strong dependence of the Power Dissipation Index (PDI), which is a measure of the intensity of Tropical Cyclone (TC) activity, on tropical sea-surface temperatures (SSTs), the variations in PDI are not completely explained by SST. Here we show, using an analysis of a string of observational data sets, that the variability of the thermocline depth (TD) in the east Pacific exerts a significant degree of control on the variability of PDI in that region. On average, a deep thermocline with a larger reservoir of heat favors TC intensification by reducing SST cooling while a shallow thermocline with a smaller heat reservoir promotes enhanced SST cooling that contributes to TC decay. At interannual time scales, the variability of basin-mean TD accounts for nearly 30% of the variability in the PDI during the TC season. Also, about 20% of the interannual variability in the east Pacific basin-mean TD is due to the El Niño and the Southern Oscillation (ENSO), a dominant climate signal in this region. This study suggests that a better understanding of the factors governing the interannual variability of the TD conditions in the east Pacific and how they may change over time, may lead to an improved projection of future east Pacific TC activity.

  3. Weekly August 14, 2009 / Vol. 58 / No. 31 department of health and human services

    E-Print Network [OSTI]

    Exposures After Hurricane Ike -- Texas, September 2008 During power outages after hurricanes, survivors can in the southeastern portion of the state without electricity (2). Six days later, 1.3 million homes were still without electrical power (2). To assess the impact of storm- related CO exposures and to enhance prevention efforts

  4. Vehicle Technologies' Fact of the Week 2012

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Moore, Sheila A [ORNL; Boundy, Robert Gary [ORNL

    2013-02-01T23:59:59.000Z

    Each week the U.S. Department of Energy s Vehicle Technology Office (VTO) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/ . These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current week s Fact is available on the VTO homepage, but older Facts are archived and still available at: http://www1.eere.energy.gov/vehiclesandfuels/facts/. This report is a compilation of the Facts that were posted during calendar year 2012. The Facts were written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.

  5. Seasonal Tips | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »Usage »DownloadSolar »MiddleHighHighEnergy Sources »Sears:Seasonal Tips

  6. Weekly Natural Gas Storage Report Schedule

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEureka AnalyticsLargeHome|WebsiteWeeklyWeekly

  7. Celebrating National Small Business Week, and Our FY 2011 Small...

    Broader source: Energy.gov (indexed) [DOE]

    Celebrating National Small Business Week, and Our FY 2011 Small Business Award Winners Celebrating National Small Business Week, and Our FY 2011 Small Business Award Winners May...

  8. Data Jam at New York Energy Week | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Data Jam at New York Energy Week Data Jam at New York Energy Week Addthis Duration 2:32 Topic Open Data...

  9. Revision Policy for EIA Weekly Underground Natural Gas Storage...

    Weekly Natural Gas Storage Report (EIA)

    April 26, 2005 This report consists of the following sections: General EIA Weekly Natural Gas Storage Report Revisions Policy - a description of how revisions to the Weekly Natural...

  10. Research Administration & Finance Tip of the Week

    E-Print Network [OSTI]

    Salama, Khaled

    Research Administration & Finance Tip of the Week Catalogue of Federal Domestic Assistance (CFDA) Overview What is a CFDA number? The Catalog of Federal Domestic Assistance (CFDA) is a government. The complete CFDA number is a five digit number, XX.XXX, where the first two digits represent the Funding

  11. Weekly Market Bulletin State of New Hampshire

    E-Print Network [OSTI]

    New Hampshire, University of

    Weekly Market Bulletin State of New Hampshire Maggie Hassan Governor Department of Agriculture, Markets & Food Lorraine S. Merrill Commissioner Vol. 94 EAB Quarantine Is Now Permanent Make Every Day,' an effort to raise awareness of sun safety practices, elimi- nating ultraviolet (UV) radiation overexpo

  12. Energy and Society Week 4 Section Solution

    E-Print Network [OSTI]

    Kammen, Daniel M.

    was the largest source of primary energy consumption for the world in 2013: A. Coal B. Natural gas C. Nuclear D of world energy. Oil, coal, natural gas, nuclear, hydro, and renewable contributed to the world's 20131 9/17/2014 Energy and Society Week 4 Section Solution TOPIC 1: Energy & Development: [iClicker]-1

  13. IWSA WEEKLY UPDATE February 20, 2009

    E-Print Network [OSTI]

    Columbia University

    a team of managers "to ensure that the precious dollars we have invested are being spent wisely and well's committee had a hearing last week on his draft plan to require power plants to produce 20 percent emissions reporting and reduction, has named Covanta a "Climate Action Leader" for voluntarily calculating

  14. IWSA WEEKLY UPDATE January 30, 2009

    E-Print Network [OSTI]

    Columbia University

    , including waste-to-energy, in New York's Hudson Valley. After her swearing in this week, Gillibrand the ten waste-to-energy facilities in New York. #12;A reminder: IWSA has moved. Our new location is: 1730 and Environment Coalition, a new caucus designed to push for policies that promote renewable energy and domestic

  15. Dynamic Resource Provisioning Condor Week 2012

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    to the Grid ­ Highly available facility ­ Testbed for network and storage fabrics · Condor is important part (JDEM analysis development, Grid Developers and Integration test stands, Storage/dCache Developers, LQCDFermiCloud Dynamic Resource Provisioning Condor Week 2012 Steven Timm timm@fnal.gov Fermilab Grid

  16. Willamette Math Problem of the Week

    E-Print Network [OSTI]

    Laison, Josh

    of "Zambonis For You" and their only driver. His job is to resurface the ice at the local skating rink. Wanting 32 key points on the ice rink, the zamboni will be wide enough to resurface every spot on the rinkWillamette Math Problem of the Week November 5 2007 An Ice Problem Tony Zamboni is the owner

  17. Research Administration & Finance Tip of the Week

    E-Print Network [OSTI]

    Salama, Khaled

    ? Investigators conduct human subject research when they carry out experiments on humans, conduct observationalResearch Administration & Finance Tip of the Week Human Subjects What is Human Subject Research studies, or obtain data and individually identifiable private information about human beings

  18. Week 13: Chapter 13 Universal Gravitation

    E-Print Network [OSTI]

    1 Week 13: Chapter 13 Universal Gravitation Newton's Law of Universal Gravitation Every particle placed near the small ones The angle of rotation was measured Law of Gravitation, cont's Third Law action-reaction pair Gravitation is a field force that always exists between two particles

  19. Northern Michigan FRUITNET 2000 Weekly Update

    E-Print Network [OSTI]

    is the only fungicide currently labeled that will control it at this stage of growth. If you have Rovral with the old label on it, it can be used. Check the pre- harvest interval on the label. APPLE MAGGOT ­ Last. SPOTTED TENTIFORM LEAFMINER ­ Trap catches dropped off to 372 per trap, down from the previous two weeks

  20. Seasonal demand and supply analysis of turkeys

    E-Print Network [OSTI]

    Blomo, Vito James

    1972-01-01T23:59:59.000Z

    SEASONAL DEMAND AND SUPPLY ANALYSIS OF TURKEYS A Thesis by VITO JAMES BLOMO Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1972 Ma)or Sub...)ect: Agricultural Economics SEASONAL DEMAND AND SUPPLY ANALYSIS OF TURKEYS A Thesis by VITO JAMES BLOMO Approved as to style and content by: (Chairman of C mmittee) (Head of Department) (Member) (Member) ( ber) (Memb er) May 1972 ABSTRACT Seasonal...

  1. * C. Ruf, Dept. of AOSS, Univ. of Michigan, 2455 Hayward St., Ann Arbor, MI 48109-2143, cruf@umich.edu 14B.4 THE DEPENDENCE OF THE MICROWAVE EMISSIVITY OF THE OCEAN ON HURRICANE FORCE

    E-Print Network [OSTI]

    Hennon, Christopher C.

    @umich.edu 14B.4 THE DEPENDENCE OF THE MICROWAVE EMISSIVITY OF THE OCEAN ON HURRICANE FORCE WIND SPEED Chris Ruf, 2006; Brown et al., 2006). Its sensitivity to wind direction in much higher (hurricane force) winds has-behaved and monotonic dependence of emissivity on wind speed even in hurricane force winds. Section 2 presents

  2. Seasonality and Its Effects on Crop Markets

    E-Print Network [OSTI]

    Tierney Jr., William I.; Waller, Mark L.; Amosson, Stephen H.

    1999-07-12T23:59:59.000Z

    consistent than the highs) and then rely on magnitude to predict the high. For example, a particular crop?s seasonal low may have occurred in October-November 80 percent of the time. The seasonal high was 12 to 15 percent above the seasonal low 75 percent... of the time. Based on this analysis, one would expect the seasonal low to come at harvest (in October or November) and the high to be 12 to 15 percent above the low. Of the two, timing is the more important for speculative purposes, whereas magnitude is often...

  3. Evaluation and Sensitivity Analysis of an Ocean Model Response to Hurricane Ivan G. R. HALLIWELL JR.,* L. K. SHAY, AND J. K. BREWSTER

    E-Print Network [OSTI]

    provides the thermal energy for intensification, errors and biases in the ocean compo- nent of coupled TCEvaluation and Sensitivity Analysis of an Ocean Model Response to Hurricane Ivan G. R. HALLIWELL JR December 2009) ABSTRACT An ocean model response to Hurricane Ivan (2004) over the northwest Caribbean Sea

  4. Agricultural green revolution as a driver of increasing atmospheric CO2 seasonal amplitude

    SciTech Connect (OSTI)

    Zeng, Ning; Zhao, Fang; Collatz, George; Kalnay, Eugenia; Salawitch, Ross J.; West, Tristram O.; Guanter, Luis

    2014-11-20T23:59:59.000Z

    The atmospheric carbon dioxide (CO2) record displays a prominent seasonal cycle that arises mainly from changes in vegetation growth and the corresponding CO2 uptake during the boreal spring and summer growing seasons and CO2 release during the autumn and winter seasons. The CO2 seasonal amplitude has increased over the past five decades, suggesting an increase in Northern Hemisphere biospheric activity. It has been proposed that vegetation growth may have been stimulated by higher concentrations of CO2 as well as by warming in recent decades, but such mechanisms have been unable to explain the full range and magnitude of the observed increase in CO2 seasonal amplitude. Here we suggest that the intensification of agriculture (the Green Revolution, in which much greater crop yield per unit area was achieved by hybridization, irrigation and fertilization) during the past five decades is a driver of changes in the seasonal characteristics of the global carbon cycle. Our analysis of CO2 data and atmospheric inversions shows a robust 15 per cent long-term increase in CO2 seasonal amplitude from 1961 to 2010, punctuated by large decadal and interannual variations. Using a terrestrial carbon cycle model that takes into account high-yield cultivars, fertilizer use and irrigation, we find that the long-term increase in CO2 seasonal amplitude arises from two major regions: the mid-latitude cropland between 256N and 606N and the high-latitude natural vegetation between 506N and 706 N. The long-term trend of seasonal amplitude increase is 0.311 ± 0.027 percent per year, of which sensitivity experiments attribute 45, 29 and 26 per cent to land-use change, climate variability and change, and increased productivity due to CO2 fertilization, respectively. Vegetation growth was earlier by one to two weeks, as measured by the mid-point of vegetation carbon uptake, and took up 0.5 petagrams more carbon in July, the height of the growing season, during 2001–2010 than in 1961–1970, suggesting that human land use and management contribute to seasonal changes in the CO2 exchange between the biosphere and the atmosphere.

  5. Vehicle Technologies' Fact of the Week 2011

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL

    2012-04-01T23:59:59.000Z

    Each week the U.S. Department of Energy s Vehicle Technology Program (VTP) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/. These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current Fact is available Monday through Friday on the VTP homepage, but older Facts are archived and still available at: http://www1.eere.energy.gov/vehiclesandfuels/facts/. This report is a compilation of the Facts that were posted during calendar year 2011. The Facts were written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.

  6. Orientation Week Events School of Computer Science

    E-Print Network [OSTI]

    Brierley, Andrew

    Orientation Week Events School of Computer Science September 8th ­ September 12th Monday 8th:00­16:00 Jack Cole 1.33a/b Computer Science Junior Honours Project Briefing MSc 14:30­16:30 John Honey 110 MSc to First Year Computer Science Students 1 10:15­10:45 John Honey 110 First Year Systems Briefing 4 10

  7. Orientation Week Events School of Computer Science

    E-Print Network [OSTI]

    St Andrews, University of

    Orientation Week Events School of Computer Science September 9th ­ September 12th Monday 9th:00­10:30 Jack Cole 0.35 MSc Curriculum Overview 3 14:00­16:00 Jack Cole 1.33a Computer Science Junior Honours Location Event 1 9:30­10:30 Jack Cole 0.35 Welcome to First Year Computer Science Students 1 10

  8. Papers of the Week Metabolic Monoubiquitination

    E-Print Network [OSTI]

    Plaxton, William

    enzyme? As shown by the novel work in this Paper of the Week by R. Glen Uhrig and colleagues, the an, and in revised form, August 25, 2008 Published, JBC Papers in Press,August 26, 2008, DOI 10.1074/jbc.M806102200 R. Glen Uhrig1 , Yi-Min She§ , Craig A. Leach¶ , and William C. Plaxton 2 From the Departments of Biology

  9. November 22, 2007 2006 Season Review

    E-Print Network [OSTI]

    Ginzel, Matthew

    founded, but 2). Timing of sprays could have been better. In the northern part of the state, unusually dry of the best technologies of 2006 Coming Meetings 2006 Season Review Apples: Scattered hail storms took are a major problem, especially on flowers of Arkansas Primocane Fruiters. Heat during the season lead

  10. Comparison of spectra produced by a deep water wave model to wave spectra gathered during Hurricane Frederic

    E-Print Network [OSTI]

    Edwards, Richard Lee

    1981-01-01T23:59:59.000Z

    /s and a heading of 325 . 9. Isotachs of the stationary windfield in Fig. 6 with forward velocity of vf = 5. 7 m/s and a heading of 345 . 0 26 27 10. Tracks chosen to emulate the actual path of Hurricane Frederic . 29 11. Calculated(---) vs. measured...IAI'lI FL 04COZ SEP 12 1979 HURRICANE WARt, 'INGS IN EFFECT FRON GRAND ISLE LOUISIAI'JA To PANAI'1A CITY FLORIDA. GALE WARNIYGS IN EFFECT EAST QF PANANA CITY To CED AR KEY. THERE IS A HURRI CAtJE MATCH 1 EST OF GRAtJD ISLE To VERNILLIOJJ BAY LQUISIAIJA...

  11. Hurricane-damaged Gulf of Mexico pipeline repaired with cold forging

    SciTech Connect (OSTI)

    Lewis, G. (Texaco Pipeline Inc., Houma, LA (United States)); DeGruy, P. (Texaco Inc., New Orleans, LA (United States)); Avery, L. (Big Inch Marine Systems Inc., Lafayette, LA (United States))

    1993-05-03T23:59:59.000Z

    Damage to Texaco Pipeline Inc.'s Eugene Island Pipeline System (EIPS) in last year's Hurricane Andrew prompted a complex repair project unique for the Gulf of Mexico. Damage, suffered when the anchor of a runaway semisubmersible drilling rig crashed into the 20-in. EPIS during the height of the storm, caused the pipeline to fail under pressure within 48 hr. after start-up following the storm. The paper describes the importance of the EIPS; system safety; Andrew's damage; locating the leak; repair options; the chosen system; mechanical bonding; end connectors and ball flanges; and diving operations.

  12. Omar Hurricane, 2009 | U.S. DOE Office of Science (SC)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeeding accessSpeedingOctoberResearch &CEATOmar Hurricane, 2009 The

  13. Photo of the Week | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM5Parabolic TroughPhoto Gallery: Energy Literacy in 2013Week

  14. U.S. Weekly Product Supplied

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial and InstitutionalArea: U.S.Feet)Weekly Product

  15. Grid Week 2008 | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12 OPAMGeneral GuidanceEnergy Launching PadGrid Week 2008

  16. National Nuclear Science Week 2013 - SRSCRO

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The EnergyCenterDioxide CaptureSeeNUCLEAR SCIENCE WEEK October 21-25,

  17. National Nuclear Science Week 2014 - SRSCRO

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The EnergyCenterDioxide CaptureSeeNUCLEAR SCIENCE WEEK October

  18. Weekly Highlights | Princeton Plasma Physics Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening aTurbulenceUtilizeRuralthe emergency response assetsSystems,Weekly

  19. EIA-804, Weekly Imports Report Page 1

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name: Email: Terminal Control EIA-802, Weekly3,

  20. Fermilab Today | Tip of the Week Archive

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA)Budget » FYU.S. DOEFigureTip of the Week Archive -

  1. Earth Week event all about energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet UpdateEarth Week event all about energy

  2. EECBG Success Story: South Carolina Community Lights Up the Season...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    South Carolina Community Lights Up the Season with Energy-Efficient Holiday Lights EECBG Success Story: South Carolina Community Lights Up the Season with Energy-Efficient Holiday...

  3. The Influence of Coastal Wetlands on Hurricane Surge and Damage with Application to Planning under Climate Change

    E-Print Network [OSTI]

    Ferreira, Celso

    2012-10-19T23:59:59.000Z

    Surge" is designed to store geospatial information for hurricane storm surge modeling and GIS tools are designed to integrate the high performance computing (HPC) input and output files to GIS; pre-process geospatial data and post-process model results, thereby...

  4. On the Differences in Storm Rainfall from Hurricanes Isidore and Lili. Part I: Satellite Observations and Rain Potential

    E-Print Network [OSTI]

    Jiang, Haiyan

    and freshwater flooding is the number one cause of death from hurricanes in the United States (Elsberry 2002 1998­2000, Lonfat et al. (2004) showed that the maximum azimuthally averaged rainfall rate is about 12. of rain (24 h) 1 ] and Tropical Storm Allison (2001, $6 billion in damages, 27 deaths, 35­40 in. of rain

  5. PUBLISHED ONLINE: 26 FEBRUARY 2014 | DOI: 10.1038/NCLIMATE2120 Taming hurricanes with arrays of o shore

    E-Print Network [OSTI]

    models (Geophysical Fluid Dynamic Laboratory (GFDL) and Hurricane Weather Research and Fore- casting to themselves? This study uses an advanced climate­weather computer model that correctly treats the energy only right behind the walls, and limit the access of populations to coastal zones. Large arrays of wind-wave

  6. Hurricane Disturbance Alters Secondary Forest Recovery in Puerto Rico Dan F.B. Flynn1,7

    E-Print Network [OSTI]

    Uriarte, Maria

    Hurricane Disturbance Alters Secondary Forest Recovery in Puerto Rico Dan F.B. Flynn1,7 , Mar, Statesboro, GA 30460, U.S.A. 4 Institute for Tropical Ecosystem Studies, University of Puerto Rico, San Juan, Puerto Rico 00931, U.S.A. 5 Department of Biology, University of Puerto Rico, San Juan, Puerto Rico 00931

  7. Analyses and simulations of the upper ocean's response to Hurricane Felix at the Bermuda Testbed Mooring site: 1323 August 1995

    E-Print Network [OSTI]

    Fabrikant, Sara Irina

    Analyses and simulations of the upper ocean's response to Hurricane Felix at the Bermuda Testbed; 31°440 N, 64°100 W) site on 15 August 1995. Data collected in the upper ocean from the BTM during. The MY2 model predicted more sea surface cooling and greater depth penetration of kinetic energy than

  8. Predictability of a Mediterranean Tropical-Like Storm Downstream of the Extratropical Transition of Hurricane Helene (2006)

    E-Print Network [OSTI]

    Chaboureau, Jean-Pierre

    2006-01-01T23:59:59.000Z

    Predictability of a Mediterranean Tropical-Like Storm Downstream of the Extratropical Transition downstream. The present study focuses on the predictability of a Mediterranean tropical-like storm (Medicane) on 26 September 2006 downstream of the ET of Hurricane Helene from 22 to 25 September. While

  9. Rising Above the Water: New Orleans Implements Energy Efficiency and Sustainability Practices Following Hurricanes Katrina and Rita (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-07-01T23:59:59.000Z

    This fact sheet describes the technical assistance that the U.S. Department of Energy, through its National Renewable Energy Laboratory, provided to New Orleans, Louisiana, which helped the city incorporate energy efficiency into its rebuilding efforts for K-12 schools and homes following Hurricanes Katrina and Rita. NREL also provided support and analysis on energy policy efforts.

  10. Managing Warm-season Improved Pastures

    E-Print Network [OSTI]

    Stichler, Charles; Prostko, Eric P.; Livingston, Stephen

    1998-10-09T23:59:59.000Z

    M anaging Warm-season Improved Pastures Charles Stichler, Eric Prostko, Steve Livingston* he quality and quantity of forage in pastures can vary greatly and are constantly changing throughout the year. The goal of forage management is to provide...

  11. # Team Name Captain REGULAR SEASON SCHEDULE

    E-Print Network [OSTI]

    Sheridan, Scott

    # Team Name Captain 1 2 3 4 5 REGULAR SEASON SCHEDULE Sprt Score Team vs. Team Score Sprt Sprt Score Team vs. Team Score Sprt 1 vs. 2 3 vs. 4 2 vs. 3 4 vs. 5 1 vs. 3 2 vs. 5 3 vs. 5 1 vs. 4 2 vs. 4 1 vs. 5 # Team Name Captain 1 2 3 4 REGULAR SEASON SCHEDULE Sprt Score Team vs. Team Score Sprt Sprt

  12. Photo of the Week: Pi + NASA + Supercomputing | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Every week, we'll feature our favorite energy-related photo here on Energy.gov, at Facebook.comEnergygov and on Twitter via @ENERGY. For other photos of the week, view our...

  13. NNSA Small Business Week 2012: Small businesses play vital role...

    National Nuclear Security Administration (NNSA)

    Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog Home NNSA Blog NNSA Small Business Week 2012: Small businesses ... NNSA Small Business Week 2012: Small businesses play...

  14. SUMMARY OF 2011 ATLANTIC TROPICAL CYCLONE ACTIVITY AND VERIFICATION OF AUTHOR'S SEASONAL AND TWO-WEEK FORECASTS

    E-Print Network [OSTI]

    .50 Accumulated Cyclone Energy (ACE) (96.2) 165 160 160 160 125 Net Tropical Cyclone Activity (NTC) (100%) 180 175 such as Net Tropical Cyclone (NTC) activity and Accumulated Cyclone Energy (ACE) were at somewhat above activity. 3 #12;DEFINITIONS AND ACRONYMS Accumulated Cyclone Energy (ACE) - A measure of a named storm

  15. Subsidence at the Weeks Island SPR Facility

    SciTech Connect (OSTI)

    Bauer, S.J.

    1999-01-01T23:59:59.000Z

    The elevation change data measured at the Weeks Island SPR site over the last 16+ years has been studied and analyzed. The subsidence rate is not constant with time and while the subsidence rate may have increased slightly during the past several years, recently the rate has increased more dramatically. The most recent increase comes at a time when the Strategic Petroleum Reserve (SPR) storage mine had been emptied of oil and was in the process of being refilled with brine. Damage to surface structures that has been observed during the past 12-18 months is attributed to the continued subsidence and dtierential subsidence across structures. The recent greater subsidence rates were unanticipated according to analysis results and will be used to aid further subsidence model development.

  16. FOOD GUIDELINES --WEEKLY STUDENT ORGANIZATION MEETING ONLY January 31, 2006

    E-Print Network [OSTI]

    Ponce, V. Miguel

    FOOD GUIDELINES -- WEEKLY STUDENT ORGANIZATION MEETING ONLY January 31, 2006 Student Activities, organizations with an average of fewer than 50 members and guests at their weekly meetings may serve food Shops Note: The following guidelines relate only to student organizations' on-campus weekly meetings

  17. Florida Saves Week 1 2010 Superior Accomplishment 1

    E-Print Network [OSTI]

    Jawitz, James W.

    Florida Saves Week 1 2010 Superior Accomplishment 1 Awards Fresh Florida Seafood for Lunch 2 2011 Table of Contents Florida Saves Week 1 2010 Superior Accomplishment 1 Awards Fresh Florida Seafood Florida Saves Week Dr. Millie Ferrer-Chancy, Interim Dean for Extension and Dr. Michael Gutter, Assistant

  18. Ch.2 Solar Energy to Earth and the Seasons

    E-Print Network [OSTI]

    Pan, Feifei

    -Output Energy=Storage Change #12;Learning Objective Four: The Seasons #12;The Seasons SeasonalityCh.2 Solar Energy to Earth and the Seasons #12;Learning Objective One: The Solar System #12;Milky Aphelion ­ farthest, on July 4 152,083,000 km #12;Learning Objective Two: The Solar Energy #12;What

  19. Heating Season Has Ended An Update On The Numbers

    E-Print Network [OSTI]

    Heating Season Has Ended An Update On The Numbers Heating Season Has Ended The snow in the mid to last at least 10 days!! So, we are declaring an end to the heating season and entering late into what season, if your space falls out of range or the ventilation does not appear to work properly, please

  20. Recovery of a Deltaic Barrier Island to hurricane and oil spill impacts in coastal Louisiana. Final report, 1 June 1993-31 August 1994

    SciTech Connect (OSTI)

    Debusschere, K.; Lindstedt, D.; Mendelssohn, I.A.; Tao, Q.; Lin, Q.

    1994-11-01T23:59:59.000Z

    The goal of this project was to evaluate the effects of the 1992 Greenhill Petroleum Corporation Oil Spill and Hurricane Andrew on salt marsh recovery on East Timbalier Island, in coastal Louisiana. The landscape scale analysis relied on remote sensing/image analysis procedures and field surveys. The community scale analysis required quantitative field sampling for vegetative responses. Both types of analyses showed that the oil spill had minimal effect on island vegetation. The analysis also indicated that Hurricane Andrew had a profound effect on the island. The island`s land mass decreased by 25% between 1990 and 1992 and its previously continuous shoreline became fragmented after the hurricane. One year after hurricane impact, the island`s morphology changed significantly due to sediment reworking.

  1. Investigation of contemporary problems and practices in post-hurricane reconstruction in the commercial sector of the southeast region of the United States 

    E-Print Network [OSTI]

    Bhattacharjee, Suchayita S.

    2009-05-15T23:59:59.000Z

    of such projects. Therefore, by using the suggested practices, post-hurricane reconstruction projects can be beneficial for contractors, and the outlook towards these projects as being less profitable can be changed....

  2. Turbulent flow over a house in a simulated hurricane boundary layer

    E-Print Network [OSTI]

    Taylor, Zachary; Gurka, Roi; Kopp, Gregory

    2009-01-01T23:59:59.000Z

    Every year hurricanes and other extreme wind storms cause billions of dollars in damage worldwide. For residential construction, such failures are usually associated with roofs, which see the largest aerodynamic loading. However, determining aerodynamic loads on different portions of North American houses is complicated by the lack of clear load paths and non-linear load sharing in wood frame roofs. This problem of fluid-structure interaction requires both wind tunnel testing and full-scale structural testing. A series of wind tunnel tests have been performed on a house in a simulated atmospheric boundary layer (ABL), with the resulting wind-induced pressures applied to the full-scale structure. The ABL was simulated for flow over open country terrain where both velocity and turbulence intensity profiles, as well as spectra, were matched with available full scale measurements for this type of terrain. The first set of measurements was 600 simultaneous surface pressure measurements over the entire house. A key...

  3. Overheat Instability in an Ascending Moist Air Flow as a Mechanism of Hurricane Formation

    E-Print Network [OSTI]

    Nechayev, Andrei

    2011-01-01T23:59:59.000Z

    The universal instability mechanism in an ascending moist air flow is theoretically proposed and analyzed. Its origin comes to the conflict between two processes: the increasing of pressure forcing applied to the boundary layer and the decelerating of the updraft flow due to air heating. It is shown that the intensification of tropical storm with the redistribution of wind velocities, pressure and temperature can result from the reorganization of the dissipative structure which key parameters are the moist air lifting velocity and the temperature of surrounding atmosphere. This reorganization can lead to formation of hurricane eye and inner ring of convection. A transition of the dissipative structure in a new state can occur when the temperature lapse rate in a zone of air lifting reaches certain critical value. The accordance of observational data with the proposed theoretical description is shown.

  4. Drag coefficient for the air-sea exchange in hurricane conditions

    E-Print Network [OSTI]

    Golbraikh, E

    2013-01-01T23:59:59.000Z

    The physical model is proposed for prediction of the non-monotonic drag coefficient variation with the neutral stability 10-m wind speed, U10. The model is based upon measurements of the foam coverage fraction and characteristic size of foam bubbles with U10, and on the drag coefficient approximation by the linearly weighted averaging over alternating foam-free and foam-covered portions of the ocean surface. The obtained drag coefficient is in fair agreement with that obtained by field measurements of the vertical variation of mean wind speed in Powell et al. (Nature, 2003) which discover reduction of the sea-surface drag with U10 rising to hurricane conditions.

  5. The Storage and Seasoning of Pecan Bud Wood.

    E-Print Network [OSTI]

    Brison, Fred R. (Fred Robert)

    1933-01-01T23:59:59.000Z

    be returned to cold storage and will remain ready for use at a later date. It has been found that bud wood cut late in the dormant period seasons in a shorter time than that cut early. Bud wood of the Delmas variety seasons more readiIy than that of Stuart... _._-_._.--__..__------~-..._..--_...._.--_.....-. Relation of Time of Cutting Bud Wood to Seasoning ._.__....._._-___._------------ ., Relative Response of Stuart and Delmas in Seasoning _---..__._.__....._.---....-....--.- 10 Number of Days for Seasoning Bud Wood During Different Months .... 12 Storage...

  6. Hurricane Earl

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarketsNov-14 Dec-14Has

  7. P h y s i c a l O c e a n o g r a p h y D i v i s i o n Optimizing Ocean Observations for Hurricane Forecast Improvement

    E-Print Network [OSTI]

    P h y s i c a l O c e a n o g r a p h y D i v i s i o n Optimizing Ocean Observations for Hurricane of hurricanes and other storms. The first step will be to demonstrate that the OSSE system can be successfully by the North Atlantic hurricane region and also covers the region of the North Atlantic warm pool

  8. Seasonal formaldehyde concentrations in an office building

    SciTech Connect (OSTI)

    Konopinski, V.J.

    1985-02-01T23:59:59.000Z

    The objective of this investigation was to determine if there was a seasonal effect on formaldehyde emissions from paneling and shelving in a one story office building. Measurement of formaldehyde was done by standard impinger sampling techniques using 1% bisulfite absorbing solution and by using a dry diffusional formaldehyde monitor. Results show a definite seasonal trend for formaldehyde concentrations by either monitoring method. The formaldehyde concentrations for warm weather are about twice as great as those in cold weather. In addition the dry diffusional monitor concentrations determined were consistently low compared to impinger sampling.

  9. Automating Natural Disaster Impact Analysis: An Open Resource to Visually Estimate a Hurricane s Impact on the Electric Grid

    SciTech Connect (OSTI)

    Barker, Alan M [ORNL; Freer, Eva B [ORNL; Omitaomu, Olufemi A [ORNL; Fernandez, Steven J [ORNL; Chinthavali, Supriya [ORNL; Kodysh, Jeffrey B [ORNL

    2013-01-01T23:59:59.000Z

    An ORNL team working on the Energy Awareness and Resiliency Standardized Services (EARSS) project developed a fully automated procedure to take wind speed and location estimates provided by hurricane forecasters and provide a geospatial estimate on the impact to the electric grid in terms of outage areas and projected duration of outages. Hurricane Sandy was one of the worst US storms ever, with reported injuries and deaths, millions of people without power for several days, and billions of dollars in economic impact. Hurricane advisories were released for Sandy from October 22 through 31, 2012. The fact that the geoprocessing was automated was significant there were 64 advisories for Sandy. Manual analysis typically takes about one hour for each advisory. During a storm event, advisories are released every two to three hours around the clock, and an analyst capable of performing the manual analysis has other tasks they would like to focus on. Initial predictions of a big impact and landfall usually occur three days in advance, so time is of the essence to prepare for utility repair. Automated processing developed at ORNL allowed this analysis to be completed and made publicly available within minutes of each new advisory being released.

  10. Training is sponsoring a 12 week Dale Carnegie Course | Jefferson...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Training is sponsoring a 12 week Dale Carnegie Course: Effective Communications and Human Relations. This course will help you master the capabilities demanded in today's tough...

  11. Photo of the Week: Controlling Chaos with Magnetic Fields | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Favorites from Photo of the Week This 1978 photo shows two workers inside the Mirror Fusion Test Facility, a magnetic confinement fusion device designed and built at Lawrence...

  12. Jefferson Lab Weekly Briefs April 29, 2015 | Jefferson Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cryogen Hazard Analysis." https:jlabdocdocusharedswebGetDocument-10172614-032.pdf Records and Information Management Month Fact of the Week In 1953, the cost for a gigabyte...

  13. Temperature Data for Week Ending May 12, 2005

    Gasoline and Diesel Fuel Update (EIA)

    Temperature Data for Week Ending May 12, 2005 (F) Source: National Oceanic and Atmospheric Administration, National Weather Service Average Temperature Deviation Between Average...

  14. Photo of the Week: Students from Roosevelt Middle School win...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Students from Roosevelt Middle School win Argonne's 2013 Regional Science Bowl Photo of the Week: Students from Roosevelt Middle School win Argonne's 2013 Regional Science Bowl...

  15. Potential for seasonal power oversupply in 2013

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    202013 B O N N E V I L L E P O W E R A D M I N I S T R A T I O N Potential for seasonal power oversupply in 2013 BPA has estimated the amount of wind generation that could be...

  16. PPPL Weekly Highlights for the Week Ending May 29, 2015 | Princeton Plasma

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and4/26/11:Tel.:162Physics Lab Weekly Highlights Fact

  17. PPPL Weekly Highlights for the Week Ending May 8, 2015 | Princeton Plasma

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and4/26/11:Tel.:162Physics Lab Weekly Highlights

  18. Seasonal and multiannual roost use by Rafinesque's Big-eared Bats in the Coastal Plain of South Carolina.

    SciTech Connect (OSTI)

    Loeb, Susan, C.; Zarnoch, Stanley, J.

    2011-12-01T23:59:59.000Z

    Little is known about factors affecting year-round use of roosts by Rafinesque's big-eared bats (Corynorhinus rafinesquii) or the long-term fidelity of this species to anthropogenic or natural roosts. The objectives of this study were to test whether seasonal use of roosts by Rafinesque's big-eared bats varied with roost type and environmental conditions within and among seasons and to document multiannual use of natural and anthropogenic structures by this species. We inspected 4 bridges, 1 building, and 59 tree roosts possessing basal cavity openings; roosts were inspected at least once per week from May through October in every year from 2005 through 2008 and once a month from November through April in every year from 2005 through 2009. We found that use of anthropogenic roosts was significantly greater than the use of tree roosts in summer but that the use of structure types did not differ in other seasons. There was significant seasonal variation in use of anthropogenic and tree roosts. Anthropogenic roost use was higher in summer than in all other seasons. There was no significant difference in tree use among spring, summer, and fall, but use in winter was significantly lower in 2 years of the study. Overall use of anthropogenic and tree roosts was positively related to minimum temperature, but the relationship between use of roosts and minimum temperature varied among seasons. Bats showed multiannual fidelity ({ge} 4 years) to all anthropogenic roosts and to some tree roosts, but fidelity of bats to anthropogenic roosts was greater and more consistent than to tree roosts. Our data indicate that Rafinesque's big-eared bats responded differently to environmental conditions among seasons; thus, a variety of structure types and characteristics are necessary for conservation of these bats. We suggest long-term protection of roost structures of all types is necessary for conservation of Rafinesque's big-eared bats in the southeast Coastal Plain.

  19. ALEXANDRU MIHAIL FLORIAN TOMESCU PROBING THE SEASONALITY SIGNAL IN POLLEN

    E-Print Network [OSTI]

    Tomescu, Alexandru MF

    OF ENEOLITHIC COPROLITES (H�ROVA- TELL, CONSTANA COUNTY, SOUTHEAST ROMANIA at Hârova-tell (Constana County, southeast Romania) were analyzed to test for seasonality signals, coprolites, seasonality, Eneolithic, Gumelnia culture, Romania. Pollen and spore spectra of coprolites

  20. St. Augustinegrass Warm-season turfgrass. Prefers full sun, but

    E-Print Network [OSTI]

    Ishida, Yuko

    St. Augustinegrass Warm-season turfgrass. Prefers full sun, but has a high tolerance for shade-season grass. It does best in full sun and high temperatures. Goes dormant and turns brown in winter. Very