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Academics |
| Daniel L. Rudnick |
Techniques for analysis of physical oceanographic data involving many simultaneous processes including probability densities, sampling errors, spectral analysis, empirical orthogonal functions, correlation, linear estimation, objective mapping.
The goal of the Data Analysis Laboratory is to give students practical, hands-on experience with analysis techniques such as those learned in SIO 221. The premise is that practice is necessary to understand completely a technique of data analysis. Students are expected to complete three well-defined projects during the quarter. Class time is spent primarily presenting and discussing projects, with some time devoted to introducing and reviewing concepts of data analysis. Lab topics are determined by the interests of the students. Topics in past years have included empirical orthogonal functions of mooring data, objective mapping of hydrographic data, complex demodulation to study inertial motions, inference of geostrophic flow from measurements of velocity and density, minimization of salinity spiking in CTD data, isolation of wind-driven currents from velocity measurements, use of wavelets to analyze oceanographic data. Students are encouraged to bring their own data sets to analyze. Prerequisite: SIO 221A-B or equivalent, or consent of instructor.
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