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

The extreme temperatures during July 2022 prompt students to investigate a model that displays historical heat wave frequency data to discover the importance of defining terms when interpreting data.

Students will analyze how surface (skin) temperatures vary across a community and determine what factors contribute to this variation. Students will describe how human activity can affect the local environment. 

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

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

Students will identify and describe the relationship between land cover classification and surface temperature as they relate to the urban heat island effect. Students will also describe patterns between population density and the locations of urban heat islands. 

Conduct this modified EO Kids mini-lesson with your students to explore the phenomenon of Urban Heat Island Effect.

In this mini lesson, students use in-water profiles of historical ocean data to analyze how sea surface salinity varies with depth. 

Students will make a claim about whether changing albedo contributes to changes in Arctic habitats.

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.