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.
In this activity, students examine the effects of hurricanes on sea surface temperature using NASA data. They examine authentic sea surface temperature data to explore how hurricanes extract heat energy from the ocean surface.
The NOAA Ocean Service Education lab requires students create and manipulate solutions simulating different ocean water characteristics in order to recognize that the effects of salinity and temperature are the drivers of thermohaline circulation.
In this worksheet-based activity, students review global visualizations of incoming sunlight and surface temperature and discuss seasonal change. Students use the visualizations to support inquiry on the differences in seasonal change in the Northern and Southern Hemispheres and how land and water absorb and release heat differently. The activity culminates in an argument about why one hemisphere experiences warmer summers although it receives less total solar energy.
In this video, students see how data from the ice core record is used to help scientists predict the future of our climate. Video features ice cores extracted from the WAIS Divide, a research station on the West Antarctic Ice Sheet.
This video segment uses data-based visual NOAA representations to trace the path of surface ocean currents around the globe and explore their role in creating climate zones. Ocean surface currents have a major impact on regional climate around the world, bringing coastal fog to San Francisco and comfortable temperatures to the British Isles.
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 NiÃo and La NiÃa 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.