With this carbon/temperature interactive model, students investigate the role of atmospheric carbon in the greenhouse effect using a relationship between atmospheric carbon dioxide and global temperature.
This interactive exposes students to Earth's atmospheric gases of oxygen, carbon dioxide, and ozone. As the user manipulates the interactive to increase or decrease the concentration of each gas, explanations and images are provided that explain and visualize what the Earth would be like in each scenario.
In this activity, students look at how much solar energy is generated by photovoltaic panels on rooftops or exposed ground locations at installations around the United States. They explore three different websites that monitor and report solar energy production from panels at many different locations. Next, they examine data from a single location, as well as compare data from two different locations. Lastly, they consider how much of a school's or home's energy needs could be supplied by solar power.
In this lesson, students complete a Myers-Briggs Type Inventory of their personality type as an introductory step to understanding what green jobs might suit their personal styles. From the information on this online tool, they look at different Green Jobs to explore possible careers.
This video segment highlights how the U.S. military is the single largest user of energy in the nation, but it is also trying to reduce its carbon bootprint. Scenes taped at Fort Irwin and Camp Pendleton show the Army and Marines experimenting with wind and solar in order to reduce the number of fuel convoys that are vulnerable to attack.
This activity supports educators in the use of the activities that accompany the GLOBE Program's Earth System Poster 'Exploring Connections in Year 2007'. Students identify global patterns and connections in environmental data that include soil moisture, insolation, surface temperature, cloud fraction, precipitation, world topography/bathymetry, aerosol optical thickness, and biosphere (from different times of the year) with the goal of recognizing patterns and trends in global data sets.