C-ROADS is a simplified version of a climate 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.

This video provides background information and teaching tips about the history and relevance of phenology and seasonal observations of plants and animals within the context of rural Wisconsin.

This is an interactive website that provides descriptive information and data related to ten key climate indicators. These climate indicators and related resources show global patterns and data that are intuitive and compelling teaching tools.

A video from the Extreme Ice Survey in which Dr. Tad Pfeffer and photographer Jim Balog discuss the dynamics of the Columbia glacier's retreat in recent years through this time-lapse movie. Key point: glacier size is being reduced not just by glacial melting but due to a shift in glacial dynamics brought on by climate change.

This video discusses impacts that the Midwestern US is experiencing due to climate change. It describes how climate change is affecting agriculture, tourism, drought and flood, water cycles and freshwater availability, the spread of invasive species and disease, as well as other topics.

This video discusses impacts that the Eastern US is experiencing due to climate change. It describes the seasonal shifts that may affect tourism in New England, extreme heat in the Southeast, how rising sea level affects coastal areas, changes in hurricane intensity, the spread of invasive species and disease, as well as other topics.

This video provides a good introduction to the field of attribution science. Beginning with an introduction to weather and climate, it describes how severe weather might be linked to climate change and the science behind attribution studies. It gives a good explanation behind how scientists use climate models to study whether severe weather events were influenced by climate change. It also discusses the question, "does climate change cause extreme weather?" and provides an introduction to the concepts of probability, causation, and correlation in regards to attribution science (how much climate change influenced an event verses normal variations in weather).