Repository of examples showing off the use of Python for meteorology.

Basic tutorial for cartopy map plotting Python package

Visualizing ECMWF's ERA5 Reanalysis from both Single and Pressure Levels on hourly basis (These notebooks can be used, accordingly, based on your preference).

A Jupyter Notebook that creates a modern way to visualize sounding data for the purpose of environmental analysis.

Visualizing NCEP/GDAS' FNL Meteorological Dataset, core of GFS Model, at 0.25 x 0.25 degree (These notebooks can be used, accordingly, based on your preference).

My observation about the Atmospheric Science.

Atmospheric & climate science research notebooks — ERA5, CMIP6, WRF, severe weather diagnostics, heatwave analysis, precipitation extremes

Plotting the netCDF wind data using python

Making personal weather forecast based on NCEP GFS

Calculate wetbulb temperature

Automated severe weather event analysis. Enter a location and date, get a full post-event report in ~3 minutes: animated NEXRAD radar loops, Skew-T/hodograph sounding analysis, NWS warnings, storm survey data, interactive damage track maps, and an AI-written narrative grounded in real meteorological data from 8 federal sources.

Custom Docker image for running a Jupyter Notebook

Skew-T Cookbook with MetPy

A web mapping application using Django

Repository to store all finished code from my research.

Plotting netCDF ocean current data using python

Gallary of Python programs used to look at stratospheric winds both modeled and observed by Radiosonde observations

create a model to predict solar energy efficiency based on the measurements of various meteorological parameters over a period of time.

This is an interactive code that can be used to create standard weather maps by utilizing code from MetPy, CartoPy, datetime, and pandas. This was created using help from Kevin Goebber's WxTech EBook for my MET-130 class at Valparaiso University and utilizing if statements to combine the map codes into an easy-to-use terminal code.