Coupling of Hydrodynamic and Wave Models: Case Study for Hurricane Floyd (1999) Hindcast

Funakoshi, Yuji; Hagen, Scott C.; Bacopoulos, Peter

doi:10.1061/(asce)0733-950x(2008)134:6(321)

Cited by 62 publications

(22 citation statements)

References 32 publications

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“…Funakoshi et al (2008) also used a similar approach to study storm tides in the St. Johns River under Hurricane Floyd (1999). Funakoshi et al (2008) also used a similar approach to study storm tides in the St. Johns River under Hurricane Floyd (1999).…”

Section: Methodsmentioning

confidence: 99%

Numerical Simulations and Observations of Surface Wave Fields under an Extreme Tropical Cyclone

Fan

Ginis

Hara

et al. 2009

Journal of Physical Oceanography

120

103

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The performance of the wave model WAVEWATCH III under a very strong, category 5, tropical cyclone wind forcing is investigated with different drag coefficient parameterizations and ocean current inputs. The model results are compared with field observations of the surface wave spectra from an airborne scanning radar altimeter, National Data Buoy Center (NDBC) time series, and satellite altimeter measurements in Hurricane Ivan (2004). The results suggest that the model with the original drag coefficient parameterization tends to overestimate the significant wave height and the dominant wavelength and produces a wave spectrum with narrower directional spreading. When an improved drag parameterization is introduced and the wavecurrent interaction is included, the model yields an improved forecast of significant wave height, but underestimates the dominant wavelength. When the hurricane moves over a preexisting mesoscale ocean feature, such as the Loop Current in the Gulf of Mexico or a warm-and cold-core ring, the current associated with the feature can accelerate or decelerate the wave propagation and significantly modulate the wave spectrum.

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Section: Methodsmentioning

confidence: 99%

Numerical Simulations and Observations of Surface Wave Fields under an Extreme Tropical Cyclone

Fan

Ginis

Hara

et al. 2009

Journal of Physical Oceanography

120

103

View full text Add to dashboard Cite

show abstract

“…Xie et al (2008) applied the POM-SWAN coupled model for inundation predictions in Charleston Harbor during Hurricane Hugo in 1989, showing that radiation stresses caused significant changes to inundation. Funakoshi et al (2008), Chen et al (2008), and Kim et al (2010) used coupled ocean-wave models to analyze water levels during Hurricane Floyd (1999), Hurricane Katrina (2005), and Typhoon Anita (1970), respectively. Sheng et al (2010) investigated the effects of waves on storm surges, currents, and inundation in the region of the Outer Banks and Chesapeake Bay during Hurricane Isabel 2003).…”

Section: Introductionmentioning

confidence: 99%

Ocean–atmosphere dynamics during Hurricane Ida and Nor’Ida: An application of the coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system

et al. 2012

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a b s t r a c tThe coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system was used to investigate atmosphere-ocean-wave interactions in November 2009 during Hurricane Ida and its subsequent evolution to Nor'Ida, which was one of the most costly storm systems of the past two decades. One interesting aspect of this event is that it included two unique atmospheric extreme conditions, a hurricane and a nor'easter storm, which developed in regions with different oceanographic characteristics. Our modeled results were compared with several data sources, including GOES satellite infrared data, JASON-1 and JASON-2 altimeter data, CODAR measurements, and wave and tidal information from the National Data Buoy Center (NDBC) and the National Tidal Database. By performing a series of numerical runs, we were able to isolate the effect of the interaction terms between the atmosphere (modeled with Weather Research and Forecasting, the WRF model), the ocean (modeled with Regional Ocean Modeling System (ROMS)), and the wave propagation and generation model (modeled with Simulating Waves Nearshore (SWAN)). Special attention was given to the role of the ocean surface roughness. Three different ocean roughness closure models were analyzed: DGHQ (which is based on wave age), TY2001 (which is based on wave steepness), and OOST (which considers both the effects of wave age and steepness). Including the ocean roughness in the atmospheric module improved the wind intensity estimation and therefore also the wind waves, surface currents, and storm surge amplitude. For example, during the passage of Hurricane Ida through the Gulf of Mexico, the wind speeds were reduced due to wave-induced ocean roughness, resulting in better agreement with the measured winds. During Nor'Ida, including the wave-induced surface roughness changed the form and dimension of the main low pressure cell, affecting the intensity and direction of the winds. The combined wave age-and wave steepness-based parameterization (OOST) provided the best results for wind and wave growth prediction. However, the best agreement between the measured (CODAR) and computed surface currents and storm surge values was obtained with the wave steepness-based roughness parameterization (TY2001), although the differences obtained with respect to DGHQ were not significant. The influence of sea surface temperature (SST) fields on the atmospheric boundary layer dynamics was examined; in particular, we evaluated how the SST affects wind wave generation, surface currents and storm surges. The integrated hydrograph and integrated wave height, parameters that are highly correlated with the storm damage potential, were found to be highly sensitive to the ocean surface roughness parameterization.Published by Elsevier Ltd.

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“…However, the tidal range and magnitude of the currents at these locations are not as extreme as found in CI. They were similarly small in the studies of Chen et al (2007) and Funakoshi et al (2008), who coupled SWAN and ''Advanced Circulation'' (ADCIRC) for various applications. Further, both of these latter studies were done in hindcast mode where computational efficiency was not an issue.…”

Section: Introductionmentioning

confidence: 97%

Sensitivity assessment of wave heights to surface forcing in Cook Inlet, Alaska

Singhal

Panchang

Nelson

2013

Continental Shelf Research

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Coupling of Hydrodynamic and Wave Models: Case Study for Hurricane Floyd (1999) Hindcast

Cited by 62 publications

References 32 publications

Numerical Simulations and Observations of Surface Wave Fields under an Extreme Tropical Cyclone

Numerical Simulations and Observations of Surface Wave Fields under an Extreme Tropical Cyclone

Ocean–atmosphere dynamics during Hurricane Ida and Nor’Ida: An application of the coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system

Sensitivity assessment of wave heights to surface forcing in Cook Inlet, Alaska

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