Monitoring storm tide from Hurricane Michael along the northwest coast of Florida, October 2018

Byrne, Michael J.

doi:10.3133/ofr20191059

Cited by 6 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although no other instrument records exist in the Mexico Beach area, both the present team and separately the USGS took numerous high water marks (HWMs). Table 1 lists the data taken during this study, while Open-file Report 2019-1059 references the USGS data as a freely available download (Byrne 2019). Both show a picture generally consistent with the water level gauge.…”

Section: Wind Waves Surge and Runupmentioning

confidence: 81%

“…The only in situ instrument measurement of Michael's waves and surge came from the United States Geological Survey (USGS) rapid gauge FLBAY03283, which was mounted on one of the pilings on the Mexico Beach Pier (Byrne 2019). The deck and almost all of the pilings seaward of the gauge were destroyed, but the gauge itself survived and provided good measurements.…”

Section: Wind Waves Surge and Runupmentioning

confidence: 99%

See 1 more Smart Citation

Hurricane Michael in the Area of Mexico Beach, Florida

Kennedy

Copp

Florence

et al. 2020

J. Waterway, Port, Coastal, Ocean Eng.

View full text Add to dashboard Cite

Category 5 Hurricane Michael made landfall near Mexico Beach, Florida on October 9, 2018, with measured high water marks (HWMs) reaching 7.2 m NAVD88. The town itself received great damage, with many areas destroyed down to the foundations. In this study, we document the storm and its effects on the greater Mexico Beach area: hazard, structural damage, and their relationships. Wave and surge damage was nearly total for low-lying properties, but damage decreased greatly with increasing elevation. Major wave and surge damage was noted in Federal Emergency Management Agency (FEMA) X zones, which are out of the 100-year floodplain, and it is suggested that the 100-year storm is a deficient measure for categorizing flood risk.

show abstract

Section: Wind Waves Surge and Runupmentioning

confidence: 81%

Section: Wind Waves Surge and Runupmentioning

confidence: 99%

Hurricane Michael in the Area of Mexico Beach, Florida

Kennedy

Copp

Florence

et al. 2020

J. Waterway, Port, Coastal, Ocean Eng.

View full text Add to dashboard Cite

show abstract

“…To validate that the simulation methodology produces realistic results, we compared storm surge output from the Best track simulation with observations taken during Hurricane Michael in the primary area of interest. Based on [38], we selected the 17 USGS water level sensors (https://stn.wim.usgs.gov/FEV/#2018Michael, accessed on 14 November 2023; [74]) shown in Figure 4 and Table 2. We matched each observation location with the closest wet ADCIRC node (given the mesh spacing of ~200 m near the coast), converted the observation data from feet to meters, and then compared simulated and observed maximum water levels.…”

Section: Discussionmentioning

confidence: 99%

Predictability of Hurricane Storm Surge: An Ensemble Forecasting Approach Using Global Atmospheric Model Data

Morss,

Ahijevych,

Fossell

et al. 2024

Water

View full text Add to dashboard Cite

Providing storm surge risk information at multi-day lead times is critical for hurricane evacuation decisions, but predictability of storm surge inundation at these lead times is limited. This study develops a method to parameterize and adjust tropical cyclones derived from global atmospheric model data, for use in storm surge research and prediction. We implement the method to generate storm tide (surge + tide) ensemble forecasts for Hurricane Michael (2018) at five initialization times, using archived operational ECMWF ensemble forecasts and the dynamical storm surge model ADCIRC. The results elucidate the potential for extending hurricane storm surge prediction to several-day lead times, along with the challenges of predicting the details of storm surge inundation even 18 h before landfall. They also indicate that accurately predicting Hurricane Michael’s rapid intensification was not needed to predict the storm surge risk. In addition, the analysis illustrates how this approach can help identify situationally and physically realistic scenarios that pose greater storm surge risk. From a practical perspective, the study suggests potential approaches for improving real-time probabilistic storm surge prediction. The method can also be useful for other applications of atmospheric model data in storm surge research, forecasting, and risk analysis, across weather and climate time scales.

show abstract

“…Knowledge of overwater turbulence intensity (TI) at the wind-turbine hub height is essential for offshore wind-power research, development, operation and maintenance. According to [13,20], TI at height Z may be written as TI z = 2㤮‷U U z = 1 Ln Z Z 16 and following [18], Z = 1200 H s H s 4㤮‷ 17 Here Z o is the aerodynamic roughness length in m and the parameter H s /L p is the wave steepness. Now, if a wind farm is situated in deep water environment or there is no wave shoaling problem, one may use the values of U * and U z as nowcasted from Equations ( 3) and ( 8), respectively, to estimate TI z .…”

Section: Estimating Overwater Turbulence Intensitymentioning

confidence: 99%

Estimating Met-Ocean Parameters during a Tropical Cyclone for Marine Science and Engineering

Hsu¹

2021

JEPT

View full text Add to dashboard Cite

During a tropical cyclone (TC) worldwide, the Regional and Mesoscale Meteorological Branch (RAMMB) of NOAA/NESDIS (http://rammb.cira.colostate.edu/) issues real-time TC surface wind analyses. The purpose of this article is to provide value-added estimations of several meteorological and oceanographic (met-ocean) parameters including overwater friction velocity and turbulence intensity, variation of the wind speed with height, significant wave height, peak or dominant wave period, wind-driven currents and wind-stress tides. Since these proposed value-added parameters are also validated by other independent methods available from the literature, these met-ocean parameters may be used for marine science and engineering including offshore energy (such as oil, gas and wind power) research, development, operation and maintenance.

show abstract

Monitoring storm tide from Hurricane Michael along the northwest coast of Florida, October 2018

Cited by 6 publications

References 1 publication

Hurricane Michael in the Area of Mexico Beach, Florida

Hurricane Michael in the Area of Mexico Beach, Florida

Predictability of Hurricane Storm Surge: An Ensemble Forecasting Approach Using Global Atmospheric Model Data

Estimating Met-Ocean Parameters during a Tropical Cyclone for Marine Science and Engineering

Contact Info

Product

Resources

About