Fall 2026

Synoptic Laboratory I: the Frontal Cyclone

ATMOCN 452 teaches synoptic laboratory techniques focusing on frontal cyclone theory, structure, evolution, and diagnostic analysis using satellite and cross-section data.

offering recorded4 credits
Recorded instructors · Fall 2026 Jonathan Martin4.3/5Libby Orr

Summary

1 / 4

Recent recorded grades — Fall 2023: 2.68 GPA, 21.4% A/AB (n=14 letter grades); Fall 2024: 3.24 GPA, 47.4% A/AB (n=19 letter grades); Fall 2025: 3.04 GPA, 41.7% A/AB (n=12 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

ATM OCN 311 and 340

ATMOCN 452

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

Prerequisite text tree

Professors

Fall 2026

Jonathan Martin

Adjusted rating
RMP difficulty
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About this rating

Raw average: 4.40/5 from 131 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

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Recent recorded grades — Fall 2023: 2.68 GPA, 21.4% A/AB (n=14 letter grades); Fall 2024: 3.24 GPA, 47.4% A/AB (n=19 letter grades); Fall 2025: 3.04 GPA, 41.7% A/AB (n=12 letter grades). Includes jointly taught sections.

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Historical instructors & teaching patterns

JONATHAN MARTIN is recorded teaching in Fall 2006, Fall 2007, Fall 2008, Fall 2009, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction19 / 250
LAB 301Classroom Instruction19 / 250

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Fall 2023: 2.68 GPA, 21.4% A/AB (n=14 letter grades); Fall 2024: 3.24 GPA, 47.4% A/AB (n=19 letter grades); Fall 2025: 3.04 GPA, 41.7% A/AB (n=12 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Cyclone and frontal theory
  • Structure and evolution of the frontal cyclone
  • Interpretation of satellite photographs
  • Vertical cross sections and isentropic analysis

Skills

  • Interpretation of satellite photographs and preparation of vertical cross sections and isentropic analysis.
  • Analysis of cyclone and frontal theory through case studies of structure and evolution.

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

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 Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records
ATMOCN 452 · Fall 2026

Synoptic Laboratory I: The Frontal Cyclone

Recorded 2026-09-07
Raw records 
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:640:012760",
    "course_id": "ATMOCN 452",
    "course_uid": "course_86257662ad75ab09e12cebbc",
    "term_id": "1272",
    "source_course_id": "012760",
    "source_subject_id": "640",
    "title": "Synoptic Laboratory I: The Frontal Cyclone",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall"
  }
]
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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "0072e1514d2ee6c218d7aae4f3512ad6bbbe667d4e081d3cdb09251f1fd5f97c",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}