A simple three-part diagram from UNEP GRID Vital Water Graphics showing what the impact of global warming will be on projected coastlines and populated areas of Bangladesh with a 1 and 1.5 m sea level rise relative to the current coastline.

This animation illustrates how heat energy from deep in Earth can be utilized to generate electricity at a large scale.

This short video addresses the effects of heat waves on human populations, with African American residents of Milwaukee, Wisconsin, as the visual subjects. The narrative is done by a young spoken- word artist.

This interactive visualization allows users to compare future projections of Wisconsin's average annual temperature with the actual changes of the last five decades. Text on the web page encourages students to think about the challenges Wisconsin could face if these changes occur.

In this video, students explore the work of Jay Keasling, a synthetic biologist experimenting with ways to produce a cleaner-burning fuel from biological matter, using genetically modified microorganisms.

In this activity, students learn about the pros and cons of co-firing woody biomass fuels with coal to produce electricity.

This lesson is a lab in which students use thermometers, white and dark paper, and lamps to measure differences in albedo between the light and dark materials. Connections are made to albedo in Antarctica.

This activity is a learning game in which student teams are each assigned a different energy source. Working cooperatively, students use their reading, brainstorming, and organizational skills to hide the identity of their team's energy source while trying to guess which energy sources the other teams represent.

This brief, hands-on activity illustrates the different heating capacities of soil and water in order to understand why places near the sea have a more moderate climate than those inland.

In this activity, students download historic temperature datasets and then graph and compare with different locations. As an extension, students can download and examine data sets for other sites to compare the variability of changes at different distinct locations, and it is at this stage where learning can be individualized and very meaningful.

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