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 learn about the urban heat island effect by investigating which areas of their schoolyard have higher temperatures - trees, grass, asphalt, and other materials. Based on their results, they hypothesize how concentrations of surfaces that absorb heat might affect the temperature in cities - the urban heat island effect. Then they analyze data about the history of Los Angeles heat waves and look for patterns in the Los Angeles climate data and explore patterns.
With this carbon/temperature interactive model, students investigate the role of atmospheric carbon in the greenhouse effect using a relationship between atmospheric carbon dioxide and global temperature.
In this video, students learn how scientific surveys of wildlife are performed at a site in Yosemite, California, and how these surveys are being used -- in conjunction with studies from the early 1900s -- to provide evidence that animal populations in Yosemite have shifted over time in response to rising temperatures.
This is a video that documents the reflections of members of the Steger International Polar Expedition team reunited at the 25th anniversary of their landmark trek to the Arctic, and how climate change has made their trek difficult to replicate.
This web page from the National Snow and Ice Data Center contains two related visualizations. The first visualization gives an estimate of the percent contribution to sea level change since the 1990s from three contributors - small glaciers and ice caps, the Greenland Ice Sheet and the Antarctic Ice Sheet. The second visualization shows the cumulative contribution to sea level from small glaciers and ice caps plotted with the annual global surface air temperature anomaly.
C-Learn is a simplified version of the C-ROADS simulator. Its primary purpose is to help users understand the long-term climate effects (CO2 concentrations, global temperature, sea level rise) of various customized actions to reduce fossil fuel CO2 emissions, reduce deforestation, and grow more trees. Students can ask multiple, customized what-if questions and understand why the system reacts as it does.