Direct Evidence of an Oceanic Inverse Kinetic Energy Cascade from Satellite Altimetry

By R. Scott, Faming Wang. 2005

333 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/c81fcb04ef37ca85d32945ffe2cc90d3cabdd85d

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Citations in the corpus

Statistics from Lagrangian observations (2008, background): “Indeed, Scott and Wang (2005) inferred such an upscale energy transfer from the deformation radius at the surface in the South Pacific, from satellite altimeter data.”
Mesoscale to submesoscale transition in the California current system. Part III: Energy balance and flux (2008, background): “For several regions of the South Pacific, a forward energy cascade range is shown by Scott and Wang (2005).”
Mapping the Energy Cascade in the North Atlantic Ocean: The Coarse-Graining Approach (2017, methodology): “ing in a \super-box" that is periodic Tulloch et al. (2011). Another standard method is to smoothly taper the data to zero near the edges of the box, such that the data becomes de facto periodic Scott and Wang (2005); Arbic et al. (2013). Both of these methods can introduce articial gradients, ”
Do Altimeter Wavenumber Spectra Agree with the Interior or Surface Quasigeostrophic Theory (2008, background): “Furthermore, experimental results from Scott and Wang (2005) (using altimeter data), that exhibit a clear inverse kinetic energy (KE) cascade from the first Rossby radius of deformation to larger scales, does not exactly match the Smith and Vallis (2001) QG interpretation: the latter indeed should”
Suppression of Eddy Diffusivity across Jets in the Southern Ocean (2010, background): “…accurately what is observed in the Southern Ocean from altimeters: the energy containing eddies have scales two to three times larger than the most unstable scale (Scott and Wang 2005; Chelton et al. 2007; Tulloch et al. 2009b) and propagate downstream the ACC at a rate signiﬁcantly slower (20”
Global observations of large oceanic eddies (2007, background): “[10] From altimetric estimates of spectral kinetic energy flux, it has been argued that there is evidence for an upscale nonlinear cascade of kinetic energy with an arrest scale similar to the large eddy diameters obtained here [Scott and Wang, 2005].”
Global Patterns of Mesoscale Eddy Properties and Diffusivities (2014, background): “This is consistent with a weak, upscale transfer of kinetic energy from a source with scales near the Rossby radius of deformation; such an inverse energy cascade is expected from geo-strophic turbulence theory (Rhines 1975; Scott and Wang 2005).”
Eddy stirring in the Southern Ocean (2011, background): “In the ocean, however, eddies are nonlinear [e.g., Scott and Wang, 2005; Chelton et al., 2007], interact and thus have a finite decorrelation time scale.”
Global observations of nonlinear mesoscale eddies (2011, unknown): “These expanded interiors often encompass multiple individual eddies and portions of the interconnecting ridges and valleys between eddies that is the spectral continuum of an up-scale energy cascade (e.g., Scott and Wang, 2005).”
Evidence for Enhanced Eddy Mixing at Middepth in the Southern Ocean (2009, result): “This is discussed at length in Smith (2007), where it is argued that the observed scale is likely the result of an inverse cascade, consistent with Scott and Wang (2005).”
Can Large Eddy Simulation Techniques Improve Mesoscale Rich Ocean Models (2013, background): “MTC above the deformation radius for reasons that remain unclear [Scott and Wang, 2005; Thompson and Young, 2007].”
Oceanic mesoscale eddies as revealed by Lagrangian coherent structures (2008, result): “This is consistent with the idea [Stammer, 1997; Scott and Wang, 2005] that baroclinic instability is an important source of eddy kinetic energy, whose spatial distribution is well-correlated with that of FTLEs.”
Scales, Growth Rates, and Spectral Fluxes of Baroclinic Instability in the Ocean (2011, methodology): “Spectral fluxes are computed identically to the method of Scott and Wang (2005) with the exception that Gibbs phenomena due to nonperiodic data are suppressed using periodic data flipping, instead of a Hamming window.”
Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization (2018, background): “…lar region or external forcing.31 1 Introduction32 Satellite observations have produced a wealth of information on the ocean circu-33 lation [Morrow et al., 1994; Le Traon and Morrow , 2001; Scott and Wang , 2005; Chel-34 ton et al., 2007; Greatbatch et al., 2010b; Abernathey and Marshall , 2013].”
Ocean Circulation Kinetic Energy: Reservoirs, Sources, and Sinks (2009, methodology): “Evidence of energy loss from geostrophic motions at horizontal scales of O(30) km, characteristic of the internal wave field, has been reported from an analysis of altimetric data by Scott and Wang (2005).”