This graphic depicts evidence for a human fingerprint on climate change based on multiple sets of independent observations. The graphic is available to study at three levels - basic, intermediate, and advanced understanding, with substantial support for students to investigate the evidence themselves and draw their own conclusions.
This video segment, adapted from NOVA scienceNOW, addresses how new technology can help monitor and modernize the infrastructure of the U.S. power grid, which is ill-equipped to handle our increasing demand for electricity. Video provides a great overview of how electricity is generated and how the grid works.
This visualization graphically displays temperature and CO2 concentration in the atmosphere as derived from ice core data from 400,000 years ago to 1950. The data originates from UNEP GRID Arendal's graphic library of CO2 levels from Vostok ice core.
This video focuses on the conifer forest in Alaska to explore the carbon cycle and how the forest responds to rising atmospheric carbon dioxide. Topics addressed in the video include wildfires, reflectivity, and the role of permafrost in the global carbon cycle.
Students perform a lab to explore how the color of materials at the Earth's surface affect the amount of warming. Topics covered include developing a hypothesis, collecting data, and making interpretations to explain why dark colored materials become hotter.
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 map shows how much electrical power is produced from wind in each state from 1999 through 2010. The animation shows a general increase in the amount of wind power produced per state and the number of states producing it.
This multi-part activity introduces users to normal seasonal sea surface temperature (SST) variation as well as extreme variation, as in the case of El NiÃo and La NiÃa events, in the equatorial Pacific Ocean. Via a THREDDS server, users learn how to download seasonal SST data for the years 1982 to 1998. Using a geographic information system (GIS), they visualize and analyze that data, looking for the tell-tale SST signature of El Nino and La Nina events that occurred during that time period. At the end, students analyze a season of their own choosing to determine if an El NiÃo or La NiÃa SST pattern emerged in that year's data.