Advanced Climatological Analysis
Advanced Climatological Analysis applies statistical, mathematical, and machine learning tools to atmospheric, oceanic, and climate data, emphasizing research evaluation and new applications.
Summary
What you’ll be able to do
Identify and apply appropriate statistical, mathematical, and machine learning techniques for testing hypotheses using geophysical data
Carry out, evaluate and interpret results from specific statistical analyses of atmospheric, oceanic, or climatic phenomena
Identify alternate methods for evaluating or interpreting results from statistical analyses of atmospheric, oceanic, or climate phenomena
Critically evaluate application of statistical, mathematical, and machine learning techniques in existing atmospheric, oceanic, and climate literature
Identify and research new applications of statistical and machine learning techniques in atmospheric, oceanic, and climate sciences
Source: UW Guide
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Prerequisites
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- Graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
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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
No workload feedback recorded.
Topics
- Statistical techniques applied 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
Skills
- Apply statistical, mathematical, and machine learning techniques for hypothesis testing with geophysical data
- Carry out, evaluate, and interpret statistical analyses of atmospheric, oceanic, or climatic phenomena
- Critically evaluate the application of statistical and machine learning techniques in scientific literature
Grades
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
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Full model traces
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Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "5ffce43881def9a0caa0b767660bf9b85819406214905e8c1daa6ca162ed9161",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}