Educational Resources - Search Tool
Use the Data Literacy Cubes to guide students’ exploration of mapped data of the Earth System to enrich their observations and inferences. This is a flexible resource that may be used with a variety of mapped images. This activity requires a map of Earth data for students to evaluate.
Using the various visualizations (i.e., images, charts, and graphs) from 2016 Hurricane Matthew, students explore the energy exchange that occurs when hurricanes extract heat energy from the ocean.
Check out this hands-on demonstration of the El Niño Effect, trade winds, and upwelling provided by NASA's Jet Propulsion Lab
Credit: JPL's Sea Level Program
This activity is modified from the USDA/US Forest Services' lesson found in the Natural Inquirer newsletter. The purpose of this hands-on activity is to engage students in a similar process for monitoring forests as NASA scientists use to study the Biosphere, whereby they apply what they know of
This activity invites students to simulate and observe the different effects on sea level from melting sea-ice.
Credit: Modified from POLAR-PALOOZA (National Science Foundation under Grant No. 0632262) and the Office of Science, Department of Energy.
Students will analyze and interpret graphs to compare the flow of (shortwave) energy from the Sun toward China over the course of a year on cloudy versus clear days. Students will draw a conclusion and support it with evidence.
Examine surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.
Students move through a series of short activities to explore and evaluate global solar radiation data from NASA satellites. In this process, students make qualitative and quantitative observations about seasonal variations in net energy input to the Earth system.
Scientists are interested in learning how the vegetation (collection of plants) of an area can be used to study Earth's climate.
Students will examine a 2014-2015 El Nino Southern Oscillation (ENSO) event to identify relationships among sea surface height, sea surface temperature, precipitation, and wind vectors.