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 is a video overview of the history of climate science, with the goal of debunking the idea that in the 1970s, climate scientists were predicting global cooling.

This set of interactive data visualizations show the weather and climate events that have had the greatest economic impact on the US from 1980 to 2016.

In this video, Michael Mann and Stefan Rahmstorf explore some of the information from the 2013 IPCC 5th report in light of public perceptions of climate science.

Students explore the increase in atmospheric carbon dioxide over the past 40 years with an interactive online model. They use the model and observations to estimate present emission rates and emission growth rates. The model is then used to estimate future levels of carbon dioxide using different future emission scenarios. These different scenarios are then linked by students to climate model predictions also used by the Intergovernmental Panel on Climate Change.

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).

Students consider why the observed atmospheric CO2 increase rate is only ~60% of the CO2 loading rate due to fossil fuel combustion. They develop a box-model to simulate the atmospheric CO2 increase during the industrial era and compare it to the historic observations of atmospheric CO2 concentrations. The model is then used to forecast future concentrations of atmospheric CO2 during the next century.

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.

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 resource includes 3 videos that are animations of drought data. The first is an animation of the US Drought Monitor drought index snapshots from 2010-2018. The second is an animation of global drought data from satellites from 2013-2018. The third is an animation of drought projections for the US from 1950-2095.

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