Presenter: Brian Arbic (University of Michigan)
Description:
Surface oceanic kinetic energy is of interest for many reasons, and a greater understanding of the vertical structure of surface kinetic energy would aid interpretation of ongoing and proposed remote sensing missions (e.g., S-MODE, WACM, SKIM) that are focused on velocity measurements. Here, kinetic energy (KE) at the sea surface (0 m) and 15 m depth in high-resolution global simulations (HYbrid Coordinate Ocean Model; HYCOM, and Massachusetts Institute of Technology general circulation model; MITgcm) is compared with KE from undrogued and drogued drifters, which respectively represent flows at 0 and 15 m. Global maps and zonal averages are computed for four frequency bands—low-frequency (<0.5 cpd), near-inertial, diurnal, and semi-diurnal. In the low-frequency band, near the equator, both models exhibit KE values that are too low relative to drifters. In the near-inertial band, MITgcm KE is too low, while HYCOM KE lies closer to observations probably due to more frequently updated atmospheric forcing. In the semi-diurnal band, MITgcm KE is too high, while HYCOM KE lies closer to the drifters due primarily to the inclusion of a parameterized topographic internal wave drag. Drifter semi-diurnal spectra are inherently wider than model semi-diurnal spectra, due to Lagrangian sampling of spatially varying fields. Vertical structure is defined here by the ratio of zonally averaged KE in 0 m/15 m model results and undrogued/drogued drifter results. Over most latitudes and most frequency bands, the model ratios track the drifter ratio to within error bars. All of the frequency bands except for the semi-diurnal band display measurable vertical structure. Latitudinal dependence in the vertical structure is greatest in the diurnal and low-frequency bands. If time permits we will also show results from an analysis of high-frequency precipitation variance in high-resolution coupled ocean-atmosphere simulations.
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Full list of Authors
- Jonathan Brasch (University of Michigan)
- Shane Elipot (University of Miami)
- Dimitris Menemenlis (NASA Jet Propulsion Laboratory)
- Aurelien Ponte (Ifremer)
- Jay Shriver (Naval Research Laboratory Stennis Space Center)
- Xiaolong Yu (Ifremer)
- Edward Zaron (Oregon State University)
- Matthew Alford (University of California, San Diego)
- Maarten Buijsman (University of Southern Mississippi)
- Ryan Abernathey (Columbia University)
- Daniel Garcia (University of Michigan)
- Lingxiao Guan (University of Michigan)
- Paige Martin (Columbia University)
- Arin Nelson (University of Michigan)
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Frequency dependence of ocean surface kinetic energy and its vertical structure from global high-resolution models and surface drifter observations
Category
Scientific Session > AI - Air-Sea Interaction > AI10 Global atmosphere-ocean coupled simulations at km-scale resolution and the application to the design of future satellite missions that focus on surface winds and ocean currents
Description
Presentation Preference: Oral
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