In this audio slideshow, an ecologist from the University of Florida describes the radiocarbon dating technique that scientists use to determine the amount of carbon within the permafrost of the Arctic tundra. Understanding the rate of carbon released as permafrost thaws is necessary to understand how this positive feedback mechanism is contributing to climate change that may further increase global surface temperatures.

This video highlights a variety of climate change research initiatives from scientists at the University of Colorado, Boulder. It describes the changing dynamics of Antarctic ice sheets and the impacts of reduced Arctic sea ice. The video illustrates the excitement of this research through interviews and video clips of scientists in the field.

This is a multi-media teaching tool to learn about climate change. The tool is comprised of stills, video clips, graphic representations, and explanatory text about climate science. Acclaimed photographer James Balog and his Extreme Ice team put this teaching tool together.

This video reviews how increasing temperatures in the Arctic are affecting the path of the jet stream, the severity of storms, and the length of individual weather events (rain, storms, drought).

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).