Learn how to use virtual environments and how they stack up to Conda in this week's #MetPyMonday!
MetPy Mondays #259 - Virtual Environments (How to use this Conda alternative)
22 November 2022
Learn, Design, Develop: My Summer with Unidata AWIPS
05 August 2022
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.
[Read More]MetPy Mondays #233 - Parsing AIRMET SIGMET CSV files to Polygons
16 May 2022
Parsing text files is one thing, but turning them into GIS ready polygons is another! This week we look at parsing a CSV of AIRMETS and SIGMETS.
31 July 2018
In the forthcoming 18.1.1 AWIPS release:
AWIPS NEXRAD Level 3 Rendered with Matplotlib
02 February 2017
Shown here are plots for Base Reflectivity (N0Q, 94) and Base Velocity (N0U, 99) using AWIPS data rendered with Matplotlib, Cartopy, and MetPy. This example improves upon existing Level 3 Python rendering by doing the following:
edex-cloud.unidata.ucar.edu
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