WX 422 - Statistical Applications for Meteorological Data Analysis

Institution:
Embry-Riddle Aeronautical University-Daytona Beach
Subject:
Description:
3 Credits This course illustrates the applications of a broad range of statistical applications to meteorology, as well as more general data analysis techniques. The course will include the following topics: basic statistical properties for various types of spatial and temporal data collections, including the standard statistical measures of mean, median, mode, standard deviation, and variance. Additional application topics will include correlations, confidence tests, probability distributions, time-series sampling theory, as well as data processing practices including regression analysis, Fourier analysis, and Eigen-vector analysis. The meteorological-specific applications would include data assimilation error covariance functions, Model Output Statistics (MOS), Perfect Prog forecasts, statistical forecast models, and Ensemble forecasts of model uncertainties as well as a number of forecast verification metrics including such quantities as Probability of Detection, False Alarm Rate, and Critical Success Scores. The course will include a number of laboratory exercises using various computer software resources ranging from spreadsheet calculations through higher-level programming methods. Prerequisite: Any course in computer programming (EGR 115, or CS 118, or CS 223, etc.) or permission of the instructor.
Credits:
0.00 - 3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(800) 222-3728
Regional Accreditation:
Southern Association of Colleges and Schools
Calendar System:
Semester

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