Learn how to combine declarative and non-declarative plotting in MetPy to create a surface map with METARs and frontal analysis!

Jhamieka Greenwood

This summer, I had a fantastic time as a Unidata intern, strengthening my Python and data visualization skills. Even though my internship was fully remote, I was still able to have a great experience and attend many events at UCAR. My mentor, Thomas Martin, and the rest of the Unidata staff were very helpful and always available for guidance during my time with Unidata.

Erin Rhoades

by Erin Rhoades
2023 Unidata summer intern

This summer, I had the incredible opportunity to spend it as a Unidata intern. My main goal for the summer was to solidify my own fundamental Python skills, but I wanted to do it in a way that would also benefit others. My mentor, Drew Camron, and the rest of the Unidata staff dedicated their time to help me achieve this goal during my internship.

Check out the latest MetPy Monday tutorial on our YouTube channel, where we'll guide you through using mouse click events to draw weather fronts and more on a map using Python. Enhance your meteorological visualization skills and interactively plot weather features with this step-by-step tutorial.

SWEAT index is a way to determine the potential of moisture, instability, wind, and warm air advection to create severe storms and tornadoes. This week learn how to easily calculate it with MetPy!