An Ensemble‐Based Eddy and Spectral Analysis, With Application to the Gulf Stream. (30th March 2022)

• Record Type: Journal Article
• Authors: Uchida, Takaya; Jamet, Quentin; Poje, Andrew; Dewar, William K.
• Is Part Of: Journal of advances in modeling earth systems. Volume 14:Number 4(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-03-30
• Subjects: ocean ensemble simulation -- spectral analysis -- empirical orthogonal function -- Gulf Stream; Geological modeling -- Periodicals; Climatology -- Periodicals; Geochemical modeling -- Periodicals; 551.5011
• DOI: 10.1029/2021MS002692
• Languages: English
• ISSNs: 1942-2466

Abstract

Abstract: The "eddying" ocean, recognized for several decades, has been the focus of much observational and theoretical research. We here describe a generalization for the analysis of eddy energy, based on the use of ensembles, that addresses two key related issues: the definition of an "eddy" and the general computation of energy spectra. An ensemble identifies eddies as the unpredictable component of the flow, and permits the scale decomposition of their energy in inhomogeneous and non‐stationary settings. We present two distinct, but equally valid, spectral estimates: one is similar to classical Fourier spectra, the other reminiscent of classical empirical orthogonal function analysis. Both satisfy Parseval's equality and thus can be interpreted as length‐scale dependent energy decompositions. The issue of "tapering" or "windowing" of the data, used in traditional approaches, is also discussed. We apply the analyses to a mesoscale "resolving" (1/12°) ensemble of the separated North Atlantic Gulf Stream. Our results reveal highly anisotropic spectra in the Gulf Stream and zones of both agreement and disagreement with theoretically expected spectral shapes. In general, we find spectral slopes that fall off faster than the steepest slope expected from quasi‐geostrophic theory. Plain Language Summary: The ocean displays "weather" in a manner analogous to the atmosphere, even if it is characterized by much different length and time scale. Such oceanographic variabilities are referred to as "eddies, " and they are known to be important to the participation of the ocean in climate. The oceanographic community therefore has a strong interest in eddies and their physical description. Here, by using numerical simulations of the North Atlantic Ocean, we describe and employ a new statistical method to define and analyze eddies. Among the advantages of our technique is its applicability to the normally complex settings of most geophysical interest. Key Points: We compute classical Fourier wavenumber spectra valid in inhomogeneous settings A complementary approach to spectra based on empirical orthogonal functions (EOFs) is described The EOF method negates the necessity for the data to be periodic