Atmospheric Data Analysis (ATOC 4815/5815)
Python-based climate and weather analysis using xarray, cartopy, and MetPy
Projects completed in ATOC 4815/5815 (Atmospheric Data Analysis) at CU Boulder, covering scientific Python workflows for large gridded climate datasets.
Projects included:
- Temperature Anomaly Detection — computed station-level anomalies from weather station observational records, with multi-panel visualization of spatial and temporal patterns
- CAM Model Output Analysis — loaded and processed Community Atmosphere Model (CAM) NetCDF output using xarray; plotted derived fields with cartopy map projections
- ERA5 Reanalysis Exploration — worked with ERA5 gridded reanalysis data to analyze synoptic-scale atmospheric patterns
Stack: Python · xarray · cartopy · MetPy · NumPy · matplotlib · NetCDF4