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Open AccessFeature PaperLetter

Lagrangian Drifter to Identify Ocean Eddy Characteristics

Department of Oceanography, Naval Postgraduate School, Monterey, CA 93943, USA
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Climate 2019, 7(12), 137; https://doi.org/10.3390/cli7120137
Received: 18 October 2019 / Revised: 1 December 2019 / Accepted: 1 December 2019 / Published: 5 December 2019
Deterministic–stochastic empirical mode decomposition (EMD) is used to obtain low-frequency (non-diffusive; i.e., background velocity) and high-frequency (diffusive; i.e., eddies) components from a Lagrangian drifter‘s trajectory. Eddy characteristics are determined from the time series of eddy trajectories from individual Lagrangian drifters such as eddy radius, eddy velocity, eddy Rossby number, and the eddy–current kinetic energy ratio. A long-term dataset of the Sound Fixing and Ranging (RAFOS) float time series obtained near the California coast by the Naval Postgraduate School from 1992 to 2004 at depth between 150 and 600 m is used as an example to demonstrate the capability of the deterministic–stochastic EMD. View Full-Text
Keywords: Lagrangian drifter; RAFOS floats; empirical mode decomposition (EMD); deterministic–stochastic EMD; intrinsic mode function (IMF); eddy radial scale; eddy velocity scale; eddy Rossby number; eddy-current kinetic energy ratio Lagrangian drifter; RAFOS floats; empirical mode decomposition (EMD); deterministic–stochastic EMD; intrinsic mode function (IMF); eddy radial scale; eddy velocity scale; eddy Rossby number; eddy-current kinetic energy ratio
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Chu, P.C.; Fan, C. Lagrangian Drifter to Identify Ocean Eddy Characteristics. Climate 2019, 7, 137.

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