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 compare climographs for two locations to determine the most likely months to expect the emergence of mosquitoes in each location.

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.

Students will analyze surface temperature and solar radiation data to construct explanations about the relationship of seasons and temperature to the amount of solar energy received on Earth’s surface.

Students observe monthly images of changing vegetation patterns, looking for seasonal changes occurring throughout 2017. These data can be used by students to develop their own models of change.

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

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

Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.

Students track weather over time and create a bar chart to track their data. 

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.