This video, from the US Department of Energy, shows the basics of how a PV panel converts light radiated from the sun into usable power, whether on the electric grid or off, and without emissions or the use of fossil fuels.
This visualization presents a collection of sea ice data taken over a period of 34 years. Selected data can be animated to show changes in sea ice extent over time. Data is added by the National Snow and Ice Data Center as it becomes available.
In this learning activity, students use a web-based geologic timeline to examine temperature, CO2 concentration, and ice cover data to investigate how climate has changed during the last 715 million years.
This interactive shows the extent of the killing of lodgepole pine trees in western Canada. The spread of pine beetle throughout British Columbia has devastated the lodgepole pine forests there. This animation shows the spread of the beetle and the increasing numbers of trees affected from 1999-2008 and predicts the spread up until 2015.
This short video uses animated imagery from satellite remote sensing systems to illustrate that Earth is a complex, evolving body characterized by ceaseless change. Adapted from NASA, this visualization helps explain why understanding Earth as an integrated system of components and processes is essential to science education.
This audio slideshow/video describes the Greenland ice sheet and the difficulties in getting scientific measurements at the interface between the ice and the ocean. It features the work of a researcher from Woods Hole Oceanographic Institute researcher. She gives a personal account of her work on the recent increase in melting of glaciers, the challenges of working in Greenland, and the reasons why so many climate scientists are looking there for answers to questions about climate change.
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.