Python Programs for Meteorology
Interactive computational tools for atmospheric analysis and visualization
🌐 Browser-Based Python Execution
Run Python code directly in your browser using Pyodide, a Python runtime compiled to WebAssembly. No installation required - the code executes entirely in your browser!
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Python environment loads automatically in browser
✓ Editable Code
Modify the code and experiment with parameters
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⚠️ First run downloads the Python environment (~15MB). Subsequent runs are faster.
1Weather Data Visualization
Generates synthetic 7-day weather data and creates a multi-panel visualization showing temperature, humidity, and wind speed with daily cycles and realistic variation patterns.
2Atmospheric Stability Analysis
Analyzes an atmospheric sounding to calculate CAPE (Convective Available Potential Energy), CIN (Convective Inhibition), and the K-Index for thunderstorm forecasting.
Key Equations
3Skew-T Log-P Diagram
The Skew-T log-p diagram is the most widely used thermodynamic diagram in meteorology. It displays temperature and dewpoint profiles with reference lines for analyzing atmospheric stability.
Diagram Features
Additional Resources
Python Libraries for Meteorology:
- MetPy: Tools for reading, visualizing, and performing calculations with weather data
- xarray: N-dimensional labeled arrays (perfect for gridded atmospheric data)
- Cartopy: Geospatial data processing and map projections
- PyNIO: Reading GRIB and netCDF files (operational model output)
Data Sources:
- University of Wyoming upper-air soundings
- NOAA/NCEP operational model output
- ERA5 reanalysis data from ECMWF