Oceanography in 2025 Proceedings of a Workshop (2009) / Chapter Skim
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Computational Simulation and Submesoscale Variability--James C. McWilliams
Computational Simulation and Submesoscale Variability--James C. McWilliams
Pages 89-91
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From page 89... ...
In the way of an oracle, I offer the following remarks about the future of physical oceanography: Because of broadband intrinsic variability in currents and material distributions and because of the electromagnetic opacity of seawater, the ocean is severely undersampled by measurements and likely to remain so. (Surface remote sensing makes a wonderful exception.)
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From page 90... ...
, "mixed-layer" instability, unstable topographic wakes, "arrested" topographic waves, ageostrophic instability of geostrophic currents, spontaneous wave emission by currents, temperature and material filaments, horizontal wavenumber spectra with shallow slopes, probability density functions with wide and skewed tails (e.g., near-surface cyclonic vorticity and downwelling velocity) , and acoustic scattering patterns of lenses and layers (e.g., in geoseismic surveys)
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From page 91... ...
As yet, only a few flows have been simulated, only a few theories devised, and only a few regions measured for their submesoscale variability. This family of phenomena deserves a lot of attention in the coming decades.
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