Meteorological Measurements

Team-based practical course in meteorological measurements covering experiment planning, instrument quality control, computational data analysis, and presenting observations.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 4

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=14 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=7 letter grades).

What you’ll be able to do

  • Characterize principles of measurement, calibration, and uncertainty estimation of in situ meteorological instrumentation, including technologies for data acquisition.

  • Develop testable hypotheses of atmospheric phenomena and deploy instrumentation in lab or field settings to acquire observations for testing hypotheses.

  • Analyze and interpret collected observations and describe in oral and written form how observations help advance understanding of theories of atmospheric and oceanic sciences.

  • Share skills and techniques in project management, advanced data analysis, interpretation, and graphing with classmates.

Source: UW Guide

Grade history

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average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Consent of instructor

  • Consent of instructor
ATMOCN 404

This is a best-effort interpretation; check the catalog requirements above.

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  • Consent of instructor

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist

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Meeting source records

Student experience

the class

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=14 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=7 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • In situ meteorological instrumentation, calibration, and uncertainty estimation
  • Atmospheric phenomena hypothesis testing via lab or field instrumentation
  • Observational analysis and interpretation for atmospheric and oceanic science theories
  • Project management, advanced data analysis, interpretation, and graphing

Skills

  • Measurement, calibration, and uncertainty estimation for meteorological instruments
  • Hypothesis development and instrumentation deployment for atmospheric observation
  • Analysis and interpretation of observational data in atmospheric and oceanic sciences
  • Project management, advanced data analysis, interpretation, and graphing

Grades

Latest available · Spring 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
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BC
C
D
F

Grades over time

Through Spring 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Grade history

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "9c0b0f2c4cb39ef2692ffd35a2fde6b4967cf817c23bc3bc93d14b568ebad9f6",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}