Applied Atmospheric Data Analysis

Catalog description

This course provides practical guidance in the quantitative analysis of large weather and climate datasets for incorporation into a data analytics system. Students will learn a variety of methods for describing environmental data focusing on bulk characteristics, hypotheses testing, linear modeling, and variability modeling. Furthermore, current data mining strategies used in creating analysis workflows will be presented. Specific emphasis will be placed on data organization and pre-processing for computational analysis, validating assumptions for a particular analysis technique, identification and resolution of non-compliant data sets, and use of analysis/display software to improve communication of results. Numerous examples and case studies will augment discussion on the various analysis methods with the goal being to broaden the student's perspective on the use of weather and climate data in decision-making.