Advanced Climatological Analysis

Advanced climatology course applying statistical, mathematical, and machine learning tools to atmospheric, oceanic, and climate data.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

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Prerequisites

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Graduate/professional standing

  • Graduate/professional standing
ATMOCN 775

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  • Graduate/professional standing

Professors

Fall 2026

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Fall 2026

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Student experience

the class

Application and analysis of advanced statistical, mathematical, and machine learning tools in Atmospheric, Oceanic, and Climate Sciences. Emphasizes application of statistical techniques to synthetic and real data; analysis of existing research in Atmospheric, Oceanic, and Climate Sciences; and exploration of new applications of statistical and machine learning techniques in relevant scientific literature. Knowledge of basic statistical methods and statistical programming [such as those introduced in 575] is required

difficulty & workload

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Topics

  • Advanced climatological analysis
  • Atmospheric, Oceanic, and Climate Sciences
  • Advanced statistical, mathematical, and machine learning tools

Skills

  • Application of advanced statistical, mathematical, and machine learning tools
  • Application of statistical techniques to synthetic and real data
  • Analysis of existing research in Atmospheric, Oceanic, and Climate Sciences
  • Exploration of new applications of statistical and machine learning techniques

Grades

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Sources & history

UW–Madison

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "059971e0da4be6b18cc800c5bf618c6ca0cd6f6b60c415ed7952a94703973acf",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}