The main objective of the class is to provide a systematic training of fundamental time series data analysis skills normally used in oceanography and related fields, through the introduction and interpretation of useful and practical theories & techniques, practices, and the application of different methods in a research project dealing with real data.

This course will cover techniques of data analysis, targeting time series and space series from the ocean and coastal waters. MATLAB will be taught and used. Examples of subjects include theory of digital sampling, filtering, harmonic analysis, Fourier / spectrum analysis, rotary spectra, coherence analysis, EOF, wavelet analysis, etc.

The techniques are generic applicable to different types of data. Examples of data include wind, water level, currents, DO, nutrients, optical parameters, etc. from moorings or from moving platforms. We aim at practical applications, after basic theories are introduced. Each student will do a project that applies the techniques to appropriate dataset.

Bendat, Julius S., and Allan G. Piersol, Random Data – analysis and measurement procedures, 2nd edition, John Wiley & Sons, 1986. ISBN: 0-471-04000-2.

Bevington, Philip R., and D. Keith Robinson, 2003, Data Reduction and error Analysis for physical sciences, 3rd edition, Mc Graw Hill. ISBN: 0-07-247227-8.

Emery, William J., and Richard E. Thomson, 2004, Data Analysis Methods in Physical Oceanography, 2nd edition, Elsevier. ISBN: 0-444-50757-4 [paperback], or 0-444-50756-6 [hardbound].

The main objective of the class is to provide a systematic coverage of the fundamentals of estuarine dynamics addressing questions such as what causes the estuarine circulation and associated transport of water and waterborne materials. To achieve this main objective, the students should have a basic background in fluid dynamics and calculus, preferably knowledge of differential equations.

Definition / classification of estuaries

Dynamical balance – fluid dynamics of estuaries

Scaling analysis

Observations: hydrographic and hydrodynamic measurements

Classical estuarine circulation

Well-mixed V.S. stratified estuaries

Mixing and dispersion

Coriolis effects

Tides in estuaries: tidal propagation, tidal asymmetry, nonlinearity of tides, tidal straining

Wind-driven flows

Bathymetry effects: Flood-drying, salt marsh, density driven flows, tidally-driven flows, wind-driven flows

Estuarine fronts

Turbidity maximum in estuaries

Eddies in estuaries: headland eddies, curved channel flows

Inlet flows

Salt / material transports

Storm surges in estuaries and coastal waters

The main objective of the class is to provide a systematic coverage of the fundamentals of physical oceanography in both descriptive and quantitative aspects, although the latter is aimed at the understanding of the important concepts rather than a highly sophisticated theories involving higher mathematics. Math is only the tool whenever necessary at the appropriate level, not the target itself.

Description of the ocean

Properties of the sea-water

Distribution of water properties

General ocean circulation

Mass and energy budgets of the oceans

Dynamical Equations of the ocean

Geostrophic flows

Thermal wind

Ekman layer / transport

Western boundary currents

Ocean tides and waves

Introductory coastal oceanography and estuarine dynamics

Instruments, data, and analysis

This course aims at the fundamentals of physical oceanography from dynamical point of views, which include the dynamics of rotating, un-stratified and stratified fluids with particular applications to the oceans, surface and internal waves, tidal propagation in the oceans, inertial oscillations, planetary vorticity, geostrophic adjustment, coastal waves, river plumes, eddies, planetary waves (Rossy, Kelvin, Poincare Waves, etc), wind-driven ocean / lake circulations, western boundary current intensifications, storm surges and tsunamis. A research topic will be selected by each student for a term paper as part of the class requirement.

Gill, A.E., 1982, Atmosphere-Ocean Dynamics, International Geophysics Series, Vol. 30: 662.

Proudman, J., 1953, Dynamical oceanography, Methuen, pp409.

Gravity and rotation of the earth

Tide-generating force

Fluid at rest and vertical stability

Equations of motion

Boundary conditions

Buoyancy force

Surface gravity wave without earth rotation

Internal waves

Geostrophic motion

Thermal wind

Potential vorticity

Gravity waves in a rotating fluid

Tidal waves

Kelvin waves

Boundary currents

Storm surges

Diagnostic studies of surface and upper-air observational data using isoplething charts and satellite images to represent the state of the atmosphere over both land and sea. Subjects include heat and energy budget, role of water, temperature and height and weather systems, thunderstorms, hurricanes, cyclones, cold fronts, etc.

A World of Weather Fundamentals of Meteorology, Grenci and Nese, Kendall / Hunt.

Global heat budget

Astronomy and weather – earth position, rotation, orbital movement, solar radiation, atmosphere influence and weather

Role of water in weather

Remote sensing of atmosphere

Surface pattern of pressure and wind

Upper air pressure and wind

Air vertical stability and role in weather

Thunderstorms

Tropical weather: wind, water, and weather

Hurricanes

Mid-latitude meteorology – surface and upper-air patterns

Cyclones

Severe weather in mid latitude

Tornados

Winter weather

Weather forecast using numerical models

Human activities and climate changes

The main objective of the class is to provide a systematic training of fundamental time series data analysis skills normally used in oceanography and related fields, through the introduction and interpretation of useful and practical theories & techniques, practices, and the application of different methods in a research project dealing with real data.

This course will cover techniques of data analysis, targeting time series and space series from the ocean and coastal waters. MATLAB will be taught and used. Examples of subjects include theory of digital sampling, filtering, harmonic analysis, Fourier / spectrum analysis, rotary spectra, coherence analysis, EOF, wavelet analysis, etc.

The techniques are generic applicable to different types of data. Examples of data include wind, water level, currents, DO, nutrients, optical parameters, etc. from moorings or from moving platforms. We aim at practical applications, after basic theories are introduced. Each student will do a project that applies the techniques to appropriate dataset.

Bendat, Julius S., and Allan G. Piersol, Random Data – analysis and measurement procedures, 2nd edition, John Wiley & Sons, 1986. ISBN: 0-471-04000-2.

Bevington, Philip R., and D. Keith Robinson, 2003, Data Reduction and error Analysis for physical sciences, 3rd edition, Mc Graw Hill. ISBN: 0-07-247227-8.

Emery, William J., and Richard E. Thomson, 2004, Data Analysis Methods in Physical Oceanography, 2nd edition, Elsevier. ISBN: 0-444-50757-4 [paperback], or 0-444-50756-6 [hardbound].

Photocopy 2014