M. K. Tippett mkt14@columbia.edu
- Learn basic properties of the El Nino-Southern Oscilation.
- Do some applied math/climate science data analysis
- ENSO (El Niño - Southern Oscillation)
- What is ENSO?
- How is ENSO predicted?
- What are impacts of ENSO?
- Math
- Descriptive statistics
- Time series modeling
- Multivariate statistical analysis
- Lectures and activities use Python in Jupyter notebooks.
- ENSO, math, and python material will be self contained.
- Two lectures per week. Reading assignments and homework.
- Theory (lecture, reading discusion)
- Practical data activity (introduction to the homework)
- Homework approximately weekly
- Usually in the form of a Jupyter notebook
- Turn in using github or something
- Final project
- Reproduce/extend published work – original research (depending on ambition)
- Project proposals due Nov 6.
- "Plot the data" due Nov. 21.
- Detailed project outlines due Dec 3. Include:
- Brief data set descriptions
- Scientific question and what calculations will address them
- Dec 10: In class project presentations. 90 minutes. 11:30am - 1pm.
- Project reports due Thursday, December 17.
- Background. What has been done before? What are you doing? Extending? Reproducing?
- Data and methods
- Data sets
- Analysis
- Results
- Conclusions
- References
- 4 - 6 pages (text either in notebook or separate pdf). Notebook with all analysis + figures.
Grading: 40% homework, 20% participation, 40% project.
- The ENSO blog.
- The El Niño-Southern oscillation phenomenon by Edward S. Sarachik and Mark A. Cane. 2010.
- An Introduction to the Dynamics of El Nino and the Southern Oscillation by Allen Clarke. 2008.
- El Niño, La Niña, and the southern oscillation by S. George Philander. 1990.
- Nonlinear physical oceanography: a dynamical systems approach to the large scale ocean circulation and El Niño by Henk A. Dijkstra
- Python information is everywhere. Notebooks on python, numpy, and matlibplot from APAM Profs. Mandli and Speigelman https://github.com/mspieg/intro-numerical-methods