Climate Data Analysis
OfficialAnalyze climate data patterns.
Education & Research#data analysis#climate data#eof analysis#teleconnections#scientific reproduction#atmospheric science
Authoratmsillinois
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides tools and methodologies for analyzing climate data, enabling users to reproduce complex scientific studies and understand atmospheric phenomena.
Core Features & Use Cases
- EOF Analysis: Identify dominant patterns of variability in climate datasets.
- Seasonal Averaging & Normalization: Prepare data for comparative analysis.
- Composite Analysis: Study atmospheric conditions during specific events (e.g., El Niño).
- Correlation Mapping: Visualize relationships between different climate variables.
- Use Case: Researchers can use this Skill to reproduce key figures from historical climate papers, like the Horel & Wallace (1981) study on the Southern Oscillation, using modern reanalysis data.
Quick Start
Use the climate data analysis skill to compute the Empirical Orthogonal Functions for the provided SST data.
Dependency Matrix
Required Modules
numpyscipyxarraypandasmatplotlibcartopy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Climate Data Analysis Download link: https://github.com/atmsillinois/agentic-horel-wallace/archive/main.zip#climate-data-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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