4.2 Article

Impact of Different Wind Representations on Resonant Ocean Near-inertial Motions in the Gulf of Mexico

期刊

OCEAN SCIENCE JOURNAL
卷 57, 期 1, 页码 25-36

出版社

KOREA INST OCEAN SCIENCE & TECHNOLOGY-KIOST
DOI: 10.1007/s12601-021-00049-5

关键词

Gulf of Mexico; Land-sea breeze; Numerical simulation; Oceanic near-inertial waves

资金

  1. Gulf of Mexico Integrated Spill Response Consortium [M1400397]
  2. EPSCOR (Established Program to Stimulate Competitive Research) in Rhode Island, by the National Science Foundation [OIA-1655221]

向作者/读者索取更多资源

This study investigates the impact of surface wind forcing on near-inertial ocean motions in the northern Gulf of Mexico using various atmospheric wind products. The analysis shows that the wind power input is closely related to land-sea breeze variability and that the MERRA product performs the worst in representing this, while NCEP2 and CCMP have the best performance. Additionally, the near-inertial wind power input derived from all wind products is underestimated by approximately 30-50% when compared to buoy data.
This study investigates the resonated diurnal impact of the surface wind forcing from several atmospheric wind products, including CCMP (Cross-Calibrated Multi-Platform), ERA Interim, NCEP-2 (NCEP-DOE AMIP-II Reanalysis), MERRA (Modern-Era Retrospective analysis for Research and Application), NARR (Northern American Regional Reanalysis) and NAM (North American Mesoscale Forecast System), on the wind-driven near-inertial ocean motions in the northern Gulf of Mexico by numerical simulation, and in comparison, with NDBC buoy surface observed winds. Our analyses show that the near-inertial wind power input, which can affect vertical mixing in the water column, is closely associated with the variability of land-sea breeze by various wind products. In comparison with buoy observations in the northern Gulf of Mexico, the MERRA has the worst land-sea breeze representation, while the NCEP2 and CCMP, which are chosen to represent the coarsest and medium-high horizontal resolution, have the best performance. We further show that by comparison of the buoy data, that the near-inertial wind power input derived from all the wind products is underestimated by 30-50% approximately.

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