This simulation provides scenarios for exploring the principles of climate dynamics from a multi-disciplinary perspective. Inter-connections among climate issues, public stakeholders and the governance spheres are investigated through creative simulations designed to support learners' understanding of international climate change negotiations.
In this activity, students reconstruct past climates using lake varves as a proxy to interpret long-term climate patterns and to understand annual sediment deposition and how it relates to weather and climate patterns.
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.
This activity engages students in the analysis of climate data to first find areas in the southern United States that are now close to having conditions in which the malaria parasite and its mosquito hosts thrive and then attempt to forecast when areas might become climatically suitable.
This activity addresses climate change impacts that affect all states that are part of the Colorado River Basin and are dependent on its water. Students examine available data, the possible consequences of changes to various user groups, and suggest solutions to adapt to these changes.
This activity focuses on wind energy concepts, which are introduced through a Reading Passage and by answering assessment questions. Students construct and test a windmill to observe how design and position affect the electrical energy produced.
In this activity, students use Google Earth to explore global temperature changes during a recent 50 - 58 year period. They also explore, analyze, and interpret climate patterns of 13 different cities, and analyze differences between weather and climate patterns.