scholarly journals Monitoring Inland Storm Surge and Flooding from Hurricane Rita

Fact Sheet ◽  
2006 ◽  
Author(s):  
Benton D. McGee ◽  
Roland W. Tollett ◽  
Robert R. Mason
Keyword(s):  
Storm Surge ◽  
Hurricane Rita

scholarly journals “Certain Death” from Storm Surge: A Comparative Study of Household Responses to Warnings about Hurricanes Rita and Ike

2014 ◽  
Vol 6 (4) ◽  
pp. 425-433 ◽  
Author(s):  
Hung-Lung Wei ◽  
Michael K. Lindell ◽  
Carla S. Prater
Keyword(s):  
Storm Surge ◽  
Similar Data ◽  
Jefferson County ◽  
Questionnaire Data ◽  
Hurricane Ike ◽  
Hurricane Rita ◽  
Warning Message ◽  
Show Evidence ◽  
Initial Source ◽  
Household Responses

Abstract This study examines the effect of an unusual “certain death” warning message on Galveston, Harris, and Jefferson County, Texas, residents’ expectations of storm surge damage and evacuation decisions during Hurricane Ike. The effect of this message was tested by comparing questionnaire data collected after Hurricane Ike to similar data collected 3 yr earlier after Hurricane Rita. If the certain death message had an effect, one would expect nonsignificant differences in perceptions of the two storms’ surge threats because the category 2 storm (Ike) had a surge that was more characteristic of a category 5 storm (Rita). However, the ratings of the storm surge threat for Ike were significantly lower than those for Rita in Galveston County—the point of landfall. Moreover, evacuation rates for Ike were consistently lower than those for Rita in all three counties, and there were no statistically significant differences between storms in the correlations of expected storm surge damage with evacuation decisions. In summary, these data fail to show evidence that the dramatic certain death warning increased expectations of surge threat and evacuation decisions. These findings underscore the need for those disseminating weather warnings to better understand how hurricane warnings flow from an initial source through intermediate links to the ultimate receivers as well as how these ultimate receivers receive, heed, interpret, and decide how to act upon those warnings.

scholarly journals Morphological responses of the Wax Lake Delta, Louisiana, to Hurricanes Rita

Elem Sci Anth ◽  
2017 ◽  
Vol 5 ◽  
Author(s):  
Fei Xing ◽  
James P.M. Syvitski ◽  
Albert J. Kettner ◽  
Ehab A. Meselhe ◽  
John H. Atkinson ◽  
...  
Keyword(s):  
Continental Shelf ◽  
Storm Surge ◽  
Water Depth ◽  
Extreme Weather Events ◽  
Shear Stresses ◽  
Hurricane Rita ◽  
Hurricane Track ◽  
Wax Lake Delta ◽  
The Right ◽  
The Impact

This study examines the morphodynamic response of a deltaic system to extreme weather events. The Wax Lake Delta (WLD) in Louisiana, USA, is used to illustrate the impact of extreme events (hurricanes) on a river-dominated deltaic system. Simulations using the open source Delft3D model reveal that Hurricane Rita, which made landfall 120 km to the west of WLD as a Category 3 storm in 2005, caused erosion on the right side and deposition on the left side of the hurricane eye track on the continental shelf line (water depth 10 m to 50 m). Erosion over a wide area occurred both on the continental shelf line and in coastal areas when the hurricane moved onshore, while deposition occurred along the Gulf coastline (water depth < 5 m) when storm surge water moved back offshore. The numerical model estimated that Hurricane Rita’s storm surge reached 2.5 m, with maximum currents of 2.0 m s–1, and wave heights of 1.4 m on the WLD. The northwestern-directed flow and waves induced shear stresses, caused erosion on the eastern banks of the deltaic islands and deposition in channels located west of these islands. In total, Hurricane Rita eroded more than 500,000 m3 of sediments on the WLD area. Including waves in the analysis resulted in doubling the amount of erosion in the study area, comparing to the wave-excluding scenario. The exclusion of fluvial input caused minor changes in deltaic morphology during the event. Vegetation cover was represented as rigid rods in the model which add extra source terms for drag and turbulence to influence the momentum and turbulence equations. Vegetation slowed down the floodwater propagation and decreased flow velocity on the islands, leading to a 47% reduction in the total amount of erosion. Morphodynamic impact of the hurricane track relative to the delta was explored. Simulations indicate that the original track of Hurricane Rita (landfall 120 km west of the WLD) produced twice as much erosion and deposition at the delta compared to a hurricane of a similar intensity that made landfall directly on the delta. This demonstrates that the wetlands located on the right side of a hurricane track experience more significant morphological changes than areas located directly on the hurricane track.

scholarly journals Monitoring Hurricane Rita Inland Storm Surge

Circular ◽  
2007 ◽  
pp. 257-263 ◽  
Author(s):  
Benton D. McGee ◽  
Roland W. Tollett ◽  
Burl B. Goree
Keyword(s):  
Storm Surge ◽  
Hurricane Rita

Impact of Hurricane Rita Storm Surge on Sugarcane Borer (Lepidoptera: Crambidae) Management in Louisiana

2009 ◽  
Vol 102 (3) ◽  
pp. 1054-1061 ◽  
Author(s):  
J. M. Beuzelin ◽  
T. E. Reagan ◽  
W. Akbar ◽  
H. J. Cormier ◽  
J. W. Flanagan ◽  
...  
Keyword(s):  
Storm Surge ◽  
Hurricane Rita ◽  
Sugarcane Borer

scholarly journals RAPID DEPLOYMENT AND POST-STORM RECONNAISSANCE OF HURRICANE LAURA

2020 ◽  
pp. 60
Author(s):  
Navid H. Jafari ◽  
Qin Chen ◽  
Jack Cadigan
Keyword(s):  
Storm Surge ◽  
Overland Flow ◽  
Pressure Sensors ◽  
Tropical Storm ◽  
Civil Infrastructure ◽  
Hurricane Rita ◽  
Risks Assessment ◽  
Wave Sensors ◽  
Louisiana Coast ◽  
Rapid Deployment

Hurricane Laura made landfall on the southwest Louisiana coast near Cameron, LA on August 26th. As Laura approached the Louisiana coast, the Coastal Emergency Risks Assessment predicted a storm surge of approximately 5.2 m (17 ft), which marked the strongest surge to impact southwest Louisiana since the catastrophic Hurricane Rita in 2005. As a result, a team led by LSU and NEU mobilized to deploy surge and wave sensors and collect drone imagery at Rockefeller Wildlife Refuge and Cameron, LA on August 25th before the arrival of tropical storm winds. Rockefeller Refuge was selected to measure the capacity of wetlands and breakwaters to attenuate hurricane surge and waves, and pressure sensors were strategically placed at locations of civil infrastructure at Cameron to capture hurricane-induced overland flow (see Fig. 1). After the surge water receded, LSU retrieved the sensors, collected RTK elevation transects and multispectral drone imagery, and surveyed infrastructure damage along the southwest corridor of Louisiana, following the Highway 82 from Abbeville to Cameron.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/IevnFZ2YVfI

scholarly journals Understanding Hurricane Storm Surge Generation and Propagation Using a Forecasting Model, Forecast Advisories and Best Track in a Wind Model, and Observed Data—Case Study Hurricane Rita

2019 ◽  
Vol 7 (3) ◽  
pp. 77 ◽  
Author(s):  
Abram Musinguzi ◽  
Muhammad K. Akbar ◽  
Jason G. Fleming ◽  
Samuel K. Hargrove
Keyword(s):  
Storm Surge ◽  
Surface Wind ◽  
Storm Surges ◽  
Wind Pressure ◽  
Forecasting Model ◽  
Wind Fields ◽  
Wind Model ◽  
Meteorological Forcing ◽  
Hurricane Rita

Meteorological forcing is the primary driving force and primary source of errors for storm surge forecasting. The objective of this study was to learn how forecasted meteorological forcing influences storm surge generation and propagation during a hurricane so that storm surge models can be reliably used to forecast actual events. Hindcasts and forecasts of Hurricane Rita (2005) storm surge was used as a case study. Meteorological forcing or surface wind/pressure fields for Hurricane Rita were generated using both the Weather Research and Forecasting (WRF) full-scale forecasting model along with archived hurricane advisories ingested into a sophisticated parametric wind model, namely Generalized Asymmetric Holland Model (GAHM). These wind fields were used to forecast Rita storm surges. Observation based wind fields from the OceanWeather Inc. (OWI) Interactive Objective Kinematic Analysis (IOKA) model, and Best track wind data ingested into the GAHM model were used to generate wind fields for comparison purposes. These wind fields were all used to hindcast Rita storm surges with the ADvanced CIRCulation (ADCIRC) model coupled with the Simulating Waves Nearshore (SWAN) model in a tightly coupled storm surge-wave model referred to as ADCIRC+SWAN. The surge results were compared against a quality-controlled database of observed data to assess the performance of these wind fields on storm surge generation and propagation. The surge hindcast produced by the OWI wind field performed the best, although some high water mark (HWM) locations were overpredicted. Although somewhat underpredicted, the WRF wind fields forecasted wider surge extent and wetted most HWM locations. The hindcast using the Best track parameters in the GAHM and the forecast using forecast/advisories from the National Hurricane Center (NHC) in the GAHM produced strong and narrow wind fields causing localized high surges, which resulted in overprediction near landfall while many HWM locations away from wind bands remained dry.

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