In this exercise learners use statistics (T-test using Excel) to analyze an authentic dataset from Lake Mendota in Madison, WI that spans the last 150 years to explore ice on/ice off dates. In addition, students are asked to investigate the IPCC Likelihood Scale and apply it to their statistical results.
In this activity, students review techniques used by scientists, as they analyze a 50-year temperature time series dataset. The exercise helps students understand that data typically has considerable variability from year to year and to predict trends or forecast the future, there is value in long-term data collection.
This video features three faculty from the University of Colorado, Boulder (Beth Osnes, Max Boykoff and James White) and CU students taking action with others to help mitigate climate change at a local level - making personal decisions about energy use and family size, educating the university community about actions that individuals can take, and developing materials to build sustainable housing.
This activity introduces students to global climate patterns by having each student collect information about the climate in a particular region of the globe. After collecting information, students share data through posters in class and consider factors that lead to differences in climate in different parts of the world. Finally, students synthesize the information to see how climate varies around the world.
The purpose of this activity is to identify global patterns and connections in environmental data contained in the GLOBE Earth Systems Poster, to connect observations made within the Earth Systems Poster to data and information at the National Snow and Ice Data Center, and to understand the connections between solar energy and changes at the poles, including feedback related to albedo.
This video explains how scientists construct computer-generated climate models to forecast weather, understand climate, and project climate change. It discusses how different types of climate models can be used and how scientists use computers to build these models.
This video explains what is involved in conducting a home energy audit. Such an audit evaluates how much energy you use in your house and suggests the most cost-effective measures you can take to improve the energy efficiency of your home. The outcomes are the use of less energy resulting in cost-savings on your energy bills.