AT 655: Objective Analysis in the Atmospheric Sciences
Instructor: Prof. Elizabeth A. Barnes
Email: eabarnes .at. atmos.colostate.edu
Office Hours: 2:00-3:00 T Th, or by appointment
TA: Chris Slocum
Email: cslocum .at. atmos.colostate.edu
Office Hours: 1:00-3:00 W, or by appointment
Additional Notes and References
Dennis Hartmann's Notes
Discussion and applications of basic statistics in Atmospheric Science
- L. Halsey, D. Curran-Everett, S. Vowler, and G. Drummond (2015): The fickle P value generates irreproducible results. Nature Methods, Vol. 12.
- R. Nuzzo (2014): Statistical Errors. Nature, Vol. 506.
- S. Goodman (2001): Of P-values and Bayes: A Modest Proposal. Epidemiology, Vol. 12, pages 295-297.
- R. Livezey and W. Chen (1983): Statistical Field Significance and its Determination by Monte Carlo Techniques. Monthly Weather Review, Volume 111.
- B. Efron (1979): Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics, Vol. 7, No. 1.
- J. S. Daniel, R. W. Portmann, S. Solomon, and D. M. Murphy (2012): Identifying weekly cycles in meteorological variables: The importance of an appropriate statistical analysis. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 117, D13203.
- Tyler W. Ruff and J. David Neelin (2012): Long tails in regional surface temperature probability distributions with implications for extremes under global warming. GEOPHYSICAL RESEARCH LETTERS, VOL. 39, L04704.
- G. Villarini, J. Smith and G. Vecchi (2013): Changing Frequency of Heavy Rainfall over the Central United States. Journal of Climate, Volume 26.
EOF/PCA/matrix algebra
Time Series Analysis
General Statistics
- Statistical Analysis in Climate Research. von Storch and Zwiers, Cambridge U. Press, 1999.
- Statistical Methods in the Atmospheric Sciences. Wilks, Academic Press, 1995.
- Schaum's Outline Series: Statistics. Murray R. Spiegel McGraw-Hill.
Free Statistics Help
- CSU General Statistics Consulting: the CSU Statistics Department offers free general statistical consulting to CSU faculty, staff and graduate students. They will help with experiment design, data analysis and statistical programming help.