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ATM OCN 404

METEOROLOGICAL MEASUREMENTS

3 credits.

Practical experience in planning experiment implementation, performing instrument quality control, conducting computational data analysis, and writing and presenting of meteorological and climatological observations in a team setting.

Prerequisites & course information

Requisites: Consent of instructor 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: Yes, unlimited number of completions Last Taught: Fall 2026 Learning Outcomes: 1. Characterize principles of measurement, calibration, and uncertainty estimation of in situ meteorological instrumentation, including technologies for data acquisition. Audience: Both Grad & Undergrad 2. Develop testable hypotheses of atmospheric phenomena and deploy instrumentation in lab or field settings to acquire observations for testing hypotheses. Audience: Both Grad & Undergrad 3. Analyze and interpret collected observations and describe in oral and written form how observations help advance understanding of theories of atmospheric and oceanic sciences. Audience: Both Grad & Undergrad 4. Share skills and techniques in project management, advanced data analysis, interpretation, and graphing with classmates. Audience: Graduate Learning Outcomes: 1. Characterize principles of measurement, calibration, and uncertainty estimation of in situ meteorological instrumentation, including technologies for data acquisition. Audience: Both Grad & Undergrad 2. Develop testable hypotheses of atmospheric phenomena and deploy instrumentation in lab or field settings to acquire observations for testing hypotheses. Audience: Both Grad & Undergrad 3. Analyze and interpret collected observations and describe in oral and written form how observations help advance understanding of theories of atmospheric and oceanic sciences. Audience: Both Grad & Undergrad 4. Share skills and techniques in project management, advanced data analysis, interpretation, and graphing with classmates. Audience: Graduate

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