This week we checkout the ruptures library and see if we can use its change point detection tools to find frontal passage in surface station data.

Let's see if we can use MetPy to find low level temperature inversions!

Hourly ASOS data are great, but 1 minute data are better! Learn how to get it and how to interpret it this week!

Rhoen Fiutak

by Rhoen Fiutak
2022 Unidata summer intern

This summer, I worked with Unidata AWIPS (Advanced Weather Interactive Processing System), contributing to educational resources for and outreach within Unidata's user community. Unidata AWIPS supports two visualization frameworks for rendering meteorological and geographic data: CAVE, a graphical user interface (GUI) application, and Python-AWIPS, a programmatic application programming interface (API) for EDEX. Users can learn about each through multiple resources, including blog posts on topical updates and tutorials via AWIPS Tips, eLearning courses like Learn AWIPS CAVE, and examples of data plotting with Python-AWIPS.

Hassanpreet Dhaliwal

by Hassanpreet Dhaliwal
2022 Unidata summer intern

I started my summer internship with the goals of understanding software development and improving my coding practices to feel confident writing reproducible and sharable code. My time at Unidata not only gave me a structure for writing sharable pieces of software, but also helped me in exploring data manipulation and visualization practices to their full creative extent.