CLIMATOLOGICAL ANALYSIS

Prerequisites & course information

Requisites: ATM OCN 573 , or graduate/professional standing Course Designation: Core GenEd - Natural Science & Wellness + Lab Breadth - Physical Science Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Test hypotheses about geoscientific processes by applying statistical methods to real-world data Audience: Graduate 2. Apply appropriate statistical analyses that can be used to address specific problems in climatological analysis Audience: Graduate 3. Carry out statistical analysis of digitized atmospheric, oceanic, and other geoscientific datasets, including parsing through and analyzing large data sets Audience: Graduate 4. Critically evaluate the results of climatological data analyses including identifying alternate interpretations of the results, other techniques that could be applied to investigate results, and sources of independent data that could be used to corroborate results Audience: Graduate 5. Critique the application of statistical analyses in existing climate literature Audience: Graduate 6. Test hypotheses about geoscientific processes by applying statistical methods to existing data Audience: Undergraduate 7. Identify appropriate statistical analyses to address specific problems in climatological analysis Audience: Undergraduate 8. Carry out statistical analysis of atmospheric, oceanic, and other geoscientific datasets Audience: Undergraduate 9. Evaluate the results of climatological data analyses of specific problems, including relating results to other statistical techniques or to alternate data sets Audience: Undergraduate 10. Understand the application of statistical analyses in existing climate literature Audience: Undergraduate Learning Outcomes: 1. Test hypotheses about geoscientific processes by applying statistical methods to real-world data Audience: Graduate 2. Apply appropriate statistical analyses that can be used to address specific problems in climatological analysis Audience: Graduate 3. Carry out statistical analysis of digitized atmospheric, oceanic, and other geoscientific datasets, including parsing through and analyzing large data sets Audience: Graduate 4. Critically evaluate the results of climatological data analyses including identifying alternate interpretations of the results, other techniques that could be applied to investigate results, and sources of independent data that could be used to corroborate results Audience: Graduate 5. Critique the application of statistical analyses in existing climate literature Audience: Graduate 6. Test hypotheses about geoscientific processes by applying statistical methods to existing data Audience: Undergraduate 7. Identify appropriate statistical analyses to address specific problems in climatological analysis Audience: Undergraduate 8. Carry out statistical analysis of atmospheric, oceanic, and other geoscientific datasets Audience: Undergraduate 9. Evaluate the results of climatological data analyses of specific problems, including relating results to other statistical techniques or to alternate data sets Audience: Undergraduate 10. Understand the application of statistical analyses in existing climate literature Audience: Undergraduate