This short activity provides a way to improve understanding of a frequently-published diagram of global carbon pools and fluxes. Students create a scaled 3-D visual of carbon pools and net fluxes between pools.
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 Energy Flow Charts website is a set of energy Sankey diagrams or flow charts for 136 countries constructed from data maintained by the International Energy Agency (IEA) and reflects the energy use patterns for 2007.
In this JAVA-based interactive modeling activity, students are introduced to the concepts of mass balance, flow rates, and equilibrium using a simple water bucket model. Students can vary flow rate into the bucket, initial water level in the bucket, and residence time of water in the bucket. After running the model, the bucket's water level as a function of time is presented graphically and in tabular form.
A collection of repeat photography of glaciers from the National Snow and Ice Data Center (NSIDC). The photos are taken years apart at or near the same location, illustrating how dramatically glacier positions can change even over a relatively short period in geological time: 60 to 100 years. Background essay and discussion questions are included.
This humorous video suggests what might happen if a weather forecaster reported the weather in the context of climate change. There is a sharp contrast between the anchor focusing on short-term local concerns and the weather forecaster describing what is happening on a long-term global basis.
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.