Bell Telephone Science Hour produced this video in 1958, explaining how the production of CO2 from factories and automobiles is causing the atmosphere to warm, melting the polar ice caps, and causing the sea level to rise.
This is the ninth and final lesson in a series of lessons about climate change. This lesson focuses on the various activities that humans can do to mitigate the effects of climate change. This includes information on current and predicted CO2 emission scenarios across the globe, alternative energy sources, and how people are currently responding to climate change. Importantly, this lesson is motivating in showing students that they can make a difference.
This video is the second of a three-video series in the Sea Change project, which follows the work of Dr. Maureen Raymo, paleogeologist at Columbia University's Lamont-Doherty Earth Observatory, who travels with fellow researchers to Australia in search of evidence of sea level that was once higher than it is today.
The activity follows a progression that examines the CO2 content of various gases, explores the changes in the atmospheric levels of CO2 from 1958 to 2000 from the Mauna Loa Keeling curve, and the relationship between CO2 and temperature over the past 160,000 years. This provides a foundation for examining individuals' input of CO2 to the atmosphere and how to reduce it.
This is a simulation that illustrates how temperature will be affected by global CO2 emission trajectories. It addresses the issue that even if global emissions begin to decrease, the atmospheric concentration of CO2 will continue to increase, resulting in increased global temperatures.
In this short video, host Dr. Ryan interviews graduate student Amy Steiker at the Institute of Arctic and Alpine Research about her research, using isotopes of nitrous oxide, connecting human activity to greenhouse gas emissions.
In this activity, students compare carbon dioxide data from Mauna Loa Observatory, Barrow, Alaska, and the South Pole over the past 40 years. Students use the data to learn about what causes short-term and long-term changes in atmospheric carbon dioxide. This activity makes extensive use of Excel.