This video describes the work of scientists who are studying the precise combination of trees that would be most effective in reducing the level of greenhouse gases in the air around Syracuse, NY. This is a pilot study that will serve as a model for other urban areas.
Students will use real satellite data to determine 1) where the greatest concentrations of aerosols are located during the course of a year in the tropical Atlantic region and 2) their source of origin. This is an inquiry-style lesson where students pull real aerosol data and attempt to identify trends among data sets.
In this activity, students use Google Earth to investigate a variety of renewable energy sources and select sites within the United States that would be appropriate for projects based on those sources.
This activity features video segments from a 2007 PBS program on solar energy. Students follow a seven-step invention process to design, build, and test a solar cooker that will pasteurize water. In addition, they are asked to describe how transmission, absorption, and reflection are used in a solar cooker to heat water and to evaluate what variables contribute to a successful cooker.
This video addresses the impact of climate change on several butterfly populations. Warming temperatures lead to shifts in location of populations of butterflies or die-offs of populations unable to adapt to changing conditions or shift to new locations.
This activity addresses naturally occurring climate change involving ENSO (El-NiÃo Southern Oscillation). In this activity, students play the role of a policy maker in Peru. First, they determine what sort of ENSO variation is occurring. Then, they must decide how to allocate Peru's resources to manage for possible weather-related problems.
In this activity, students create graphs of real temperature data to analyze climate trends by analyzing the global temperature record from 1867 to the present. Long-term trends and shorter-term fluctuations are both evaluated. The data is examined for evidence of the impact of natural and anthropogenic climate forcing mechanisms on the global surface temperature variability. Students are prompted to determine the difficulties scientists face in using this data to make climate predictions.