Educational Resources for Educators and Students

Resources for learners of all ages

NCAR-Wyoming Supercomputing Center (NWSC) - Visitor Center

Visit NWSC to learn about the power of supercomputing and how we use it.


Get an inside look into one of the most powerful computing systems in the world, Cheyennne. HPC-TV explains how a supercomputer works and goes in-depth in some of the amazing work our scientists are working on every day.

WRF on Pi

Meteo AR / VR

Meteo AR is an Augmented Reality (AR) application that displays interactive virtual objects, like an animated globe or a hurricane, over real world imagery that is captured by your mobile device's camera.  The app works with the NCAR "science cube" or the downloadable "science sheets." They include background information about topics like El Niño, hurricanes, and climate change to help you understand and interpret what you are seeing.

Meteo VR is a Virtual Reality (VR) application that works with inexpensive devices like Google Cardboard to turn your mobile phone into a 3D VR platform for exploring geoscience data. Google Cardboard is available for purchase from many online retailers. Search "Google Cardboard." 

Created by NCAR scientist Nihanth Cherukuru.

Meteo AR GIF

Raspberry Pi Weather Forecast

Also known as WRF on Pi, the goal of this project is to run a real weather model on your Raspberry Pi and make a weather forecast. You will run the simulation for the days you want, where you want, visualize the output, and make a forecast. By working through this module, you will gain an understanding of how a weather forecast is made, how a meteorologist adds “value” to the forecast, and you will learn some of the limits and shortcomings of some of our latest weather models. Created by NCAR Education Designer Eliott Foust.

WRF on Pi

Resources for high school learners and beyond with prior coding experience

Machine Learning in Python for Environmental Science Problems AMS Short Course

Want to learn more about Machine Learning in Python? This short course shows you everything you need to know with both CPU-enabled and GPU-enabled approaches. Created by NCAR scientists David John GagneSheri Mickelson, University of Oklahoma PhD candidate Ryan Lagerquist, and visitor Greg Herman.

Deep Learning Tutorial

This is a tutorial on using deep neural networks to predict intense rotation near the surface of thunderstorms. Created by NCAR scientist David John Gagne.

Additional Resources

Check out the Computational & Information Systems Lab YouTube channel for a variety of programming tutorials, seminars, and other High-Performance Computing learning materials. 


Are you an NCAR scientist who would like one of your projects to be featured as an open-source educational material on our site? Reach out to for more information.