Students observe the map image, individually, looking for changes in surface air temperatures (using data displayed, unit of measure, range of values, etc.) and noticeable patterns.

Students analyze a graph that illustrates the change in global surface temperature relative to 1951-1980 average temperatures.

Students analyze surface air temperature anomalies to identify change with respect to different latitudes across the world.

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. Building from their observations, students will select a location in the U.S.

NASA visualizers take data – numbers, codes – and turn them into animations people can see and quickly understand.

Students observe the surface temperatures of a variety of surface types found in a suburban environment.

Students will analyze a line graph that shows how the surface temperature and air temperature values change over the course of 24 hours.

The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.  

Students develop and test a hypothesis about how albedo affects temperature.

Students analyze historic plant growth data (i.e., Peak Bloom dates) of Washington, D.C.’s famous cherry blossom trees, as well as atmospheric near surface temperatures as evidence for explaining the phenomena of earlier Peak Blooms in our nation’s capital.