AOSC630

Statistical Methods in Meteorology and Oceanography

Prerequisite: STAT400; or students who have taken courses with comparable content may contact the department. Formerly: METO630. Parametric and non-parametric tests; time series analysis and filtering; wavelets. Multiple regression and screening; neural networks. Empirical orthogonal functions and teleconnections. Statistical weather and climate prediction, including MOS, constructed analogs. Ensemble forecasting and verification.

Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.73 between 49 students*

AOSC630 Grade Distribution+-0510152025303540455055606570758085% of studentsABCDFWother
A-: 20.41%
A: 36.73%
A+: 24.49%
B: 10.2%
B+: 2.04%
W: 2.04%
other: 4.08%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.