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Tag: Gulf of Mexico
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  • Sensitivity and Impact of Atmospheric Forcings on Hurricane Wind Wave Modeling in the Gulf of Mexico Using Nested WAVEWATCH III

    Abstract: Precise estimation of hurricane wind-induced waves is critical to enhance the accuracy of predicting coastal flooding events in real-time besides helping in the design of sustainable coastal/offshore structures. In this study, we aim to investigate the importance of atmospheric forcings and their impact on wind wave modeling for extreme hurricane conditions in the Gulf of Mexico (GOM) basin. Hurricanes Michael (2018) and Ida (2021) were chosen to be modeled as they were among the two most severe storm events that attained category 5 and category 4 status, respectively, during landfall in the GOM basin. A multi-grid nested modeling approach was implemented in WAVEWATCH III with three different wind forcings: ECMWF’s ERA5, NOAA’s High-Resolution Rapid Refresh (HRRR: v3 and v4) and ECMWF’s Operational High-Resolution Forecast Model (ECMWF) to model both hurricanes. The results generated through model simulations of various cases were compared with the field observations obtained at NDBC stations. One of the findings suggests that the ERA5 based wind model substantially underestimates the peak winds of both the hurricanes by 50–60 %, thereby resulting in significant underestimation of the wave heights by 40 %. Although the ECMWF model could not capture the maximum winds generated by Michael and Ida, it still gave better results than the ERA5 and HRRR (v3). The updated version (v4) of HRRR performed better than both ERA5 and ECMWF wind models in predicting the peak wind speeds and wind field distribution of Hurricane Ida in all the quadrants.
  • Wind Forcing, Source Term and Grid Optimization for Hurricane Wave Modelling in the Gulf of Mexico

    Abstract: This study evaluates the performance of WAVEWATCH III model driven by different wind forcing products and behavior of different parameterizations of the model’s source terms controlling energy input and dissipation and quadruplet wave-wave interactions during Hurricane Ida. We also compare the performance of the model configured on uniform unstructured and conventional non-uniform unstructured grids. Key findings show ECMWF-forecast and HRRR out-performed other products in capturing wind speeds relative to buoys, satellite and the revised Atlantic hurricane database observations. However, all products underestimated wind speeds above 20 m/s, with ECMWF and HRRR occasionally performing better for most wind speed values above 35 m/s relative to observations. The corresponding wave simulation results indicated Ida’s wave fields were better captured by model simulations with ECMWF and HRRR wind products, with biases of 2% against buoys in the Gulf of Mexico and 6% and 3% respectively against satellite data. We also highlighted limitations in bulk wave analysis by computing partial Hs and 1D spectra density differences between model and buoy for selected source terms. This reveals consistent overestimation at the lowest frequency bin and underestimation of the three higher frequency bins with a mix of negative and positive energy density difference across different frequencies.
  • Sediment Provenance Studies of the Calcasieu Ship Channel, Louisiana

    Abstract: To maintain the navigability of the Calcasieu Ship Channel (CSC), the US Army Corps of Engineers annually dredges millions of cubic yards of sediment from the inland channel. To assess sources of channel shoaling, a previous study examined river and bankline erosion as inputs. Results from that study accounted for approximately 20% of dredged volumes. Through the support of the Regional Sediment Management Program, a follow-up investigation reviewed prior sediment budgets, identified potential missing sediment sources, modeled potential sediment pathways, and utilized geochemical fingerprinting to discern primary shoaling sources to the channel. The missing sediment sources from the original budget include coastally derived sediment from the Gulf of Mexico and terrestrially derived sediment from Lake Calcasieu and surrounding wetlands. Results from geochemical fingerprinting of various potential sediment sources indicate the Calcasieu River and the Gulf of Mexico are primary contributors of sediment to the CSC, and sediments sourced from bankline erosion, Lake Calcasieu bed, and interior wetlands are secondary in nature. These results suggest that engineering solutions to control shoaling in the CSC should be focused on sources originating from the Gulf of Mexico and river headwaters as opposed to Lake Calcasieu, channel banklines, and surrounding wetlands