Students explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior.

The advance-and-retreat cycle of snow cover drastically changes the whiteness and brightness of Earth. Using two maps created using NASA satellite data for 2017, students review the seasonal differences of snow and ice extent and answer questions on their observations.

Learners will build a 2D model of the Magnetospheric Multiscale (MMS) Spacecraft model. 

Learners use a compass to trace magnetic field lines of a bar magnet. They observe a CME hitting Earth’s magnetosphere and compare its shape to the magnet. They then apply their understanding of magnetic fields to those found on the Sun.

Learners will analyze space-weather data from the National Oceanic and Atmospheric Administration (NOAA). Learners will compare two different types of data: sunspot data and measurements from magnetometers on Earth.

This hands-on activity uses the kitchen sink to model the properties of the boundary of the heliosphere and takes learners through the scientific processes used in investigations: Making observations, using models, and communicating results.

Learners will explore differences between weather on Earth and space weather and the hazards of each.

Using a “fun-size” bag of rainbow bite-sized candies learners will place different colored candies on a diagram of the Sun-Earth system to show different space weather conditions during solar minimum and solar maximum.

In this activity, learners predict the likelihood of aurora on Earth by examining the Kp-index and using NOAA’s 30-minute aurora forecast.

In this mini-lesson activity, students use art to demonstrate their knowledge of an aurora.