Educational Resources - Search Tool
Students will analyze and interpret maps of the average net atmospheric radiation to compare the flow of energy from the Sun toward Earth in different months and for cloudy versus clear days. Students will draw conclusions and support them with evidence.
This story map is intended to be used with students who have access to a computing device in a 1:1 or 1:2 setting. Using various visualizations (i.e., images, charts, and graphs), students will explore the urban heat island effect using land surface temperature and vegetation data.
Analyzing monthly environmental data from the North Atlantic Ocean will help you to learn more about how the water cycle affects sea surface salinity. Your challenge is to find the data set that most closely corresponds to sea surface salinity patterns.
In Part A of this lab, students will examine a variety of images and maps of the whole Earth in order to identify the major components of the Earth system at a global scale.
Students review Earth System phenomena that are affected by soil moisture. They analyze and evaluate maps of seasonal global surface air temperature and soil moisture data from NASA satellites.
The ocean's surface is not level, and sea levels change in response to changes in chemistry and temperature. Sophisticated satellite measurements are required for scientists to document current sea level rise.
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.
Students analyze the relationship between sea surface topography and ocean surface currents by graphing sea height differences using data collected from NASA's TOPEX/Poseidon mission.
In this activity, students will use sea-level rise data to create models and compare short-term trends to long-term trends. They will then determine whether sea-level rise is occurring based on the data.