This animated visualization was created for the planetarium film 'Dynamic Earth'. It illustrates the trail of energy that flows from atmospheric wind currents to ocean currents.

In this short video, atmospheric scientist Scott Denning gives a candid and entertaining explanation of how greenhouse gases in Earth's atmosphere warm our planet.

This animated visualization represents a time history of atmospheric carbon dioxide in parts per million (ppm) from 1979 to 2016, and then back in time to 800,000 years before the present.

This is the first of three short videos showcasing the dramatic changes in Alaska's marine ecosystems. This introduction to the impacts of climate change in Alaska includes interviews with Alaska Natives, commentary by scientists, and footage from Alaska's Arctic.

A short video on the causes of ocean acidification and its effects on marine ecosystems.

Video and animations of sea level from NASA's Climate website. Since 1992, NASA and CNES have studied sea surface topography as a proxy for ocean temperatures. NASA Missions TOPEX/Poseidon, Jason 1 and Jason 2 have been useful in predicting major climate, weather, and geologic events including El Nino, La Nina, Hurricane Katrina, and the Indian Ocean Tsunami.

This introductory video addresses key points as well as pros and cons of oil as an energy source for transportation.

This visualization is a collection of maps, by continent, that project the impact on coastlines of a 216-foot rise in sea level, which is assumed to be the result of melting all the land ice on Earth.

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.

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.