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SIO - Coursework - Jeffrey Annis
OCEANOGRAPHY
- AMES 101A - Fluid Mechanics
A survey of classical problems in fluid mechanics and approximate techniques of analysis. Topics include conservation equations, straight laminar flows, low and high Reynolds number laminar flow, stability of laminar flows, turbulent flow. Prerequisite: partial differential equations.
- SIO 202 (A) - Introduction to Climate and Climate Change
Physical, dynamical, and thermodynamic processes that govern climate with emphasis on the atmosphere and the oceans. Topics will include energy budget of the oceans and the atmosphere, hydrological cycle, the meridional heat transport, and climate forcing and feedbacks that govern decadal to longer-term changes in climate. Prerequisites: introductory courses in atmospheric sciences and ocanography; familiarity with solutions of linear differential equations.
- SIO 211 (A) - Ocean Waves
Propagation and dynamics of waves in the ocean including the effects of stratification, rotation, topography, wind. Linear wave theory.
- SIO 211 (B) - Ocean Waves
Propagation and dynamics of waves in the ocean including the effects of stratification, rotation, topography, wind, and nonlinearity. Non-linear wave threory.
- SIO 212 (A) - Dynamical Oceanography
The equations of motion for rotating stratified flow and their application to large-scale ocean dynamics; the wind-driven circulation,flow over topography, and the dynamics of two-layer models.
- SIO 212 (B) - Dynamical Oceanography
The equations of motion for rotating stratified flow and their application to large-scale ocean dynamics; the wind-driven circulation,flow over topography, and the dynamics of two-layer models.
- SIO 214 (A) - Fluid Mechanics
A survey of classical problems in fluid mechanics and approximate techniques of analysis. Topics include conservation equations, straight laminar flows, low and high Reynolds number laminar flow, stability of laminar flows, turbulent flow. Prerequisite: partial differential equations.
- SIO 218. Atmospheric Dynamics and Physics
Thermodynamics and statics of dry and moist air; equations of motion, scale analysis, elementary applications and wave solutions; baroclinic instability theory; atmospheric general circulation and energetics; thermal convection and laboratory analogues to atmospheric motions; turbulence and predictiability theory; numerical models for weather forecasting and climate simulation.
- SIO 219 Data Analysis Laboratory
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, etc. An addition this year will likely be a project involving wavelets. Students are encouraged to bring their own data sets to analyze.
- SIO 220 - Observations of Large-Scale Ocean Circulation
General circulation of the oceans; tropical, subtropical, and high-latitude current systems of the Atlantic, Indian, and Pacific Oceans and marginal seas; ocean heat flux and thermohaline circulations; observational basis of large-scale dynamics.
- SIO 221A - Analysis of Physical Oceanographic Data
Fundamental elements of analysis of geophysical and oceanographic time series, including sampling problems, least squares techniques, spectral analysis, interpretation of series, design of experiments
- SIO 221B - Analysis of Physical Oceanographic Data
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.
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