In this series of activities students investigate the effects of black carbon on snow and ice melt in the Arctic. The lesson begins with an activity that introduces students to the concept of thermal energy and how light and dark surfaces reflect and absorb radiant energy differently. To help quantify the relationship between carbon
and ice melt, the wet lab activity has students create ice samples both with and without black carbon and then compare how they respond to radiant energy while considering implications for the Arctic.

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.

This activity uses two interactive simulations to illustrate climate change, 1) at the micro/molecular level - modeling the impact of increasing concentrations of greenhouse gases in the atmosphere on surface temperature and 2) at the macro level - modeling changes in glacier thickness and flow as a result of rising surface temperature.