This audio slideshow/video describes the Greenland ice sheet and the difficulties in getting scientific measurements at the interface between the ice and the ocean. It features the work of a researcher from Woods Hole Oceanographic Institute researcher. She gives a personal account of her work on the recent increase in melting of glaciers, the challenges of working in Greenland, and the reasons why so many climate scientists are looking there for answers to questions about climate change.
The heart of this activity is a laboratory investigation that models the production of silicon. The activity is an investigation of silicon: the sources, uses, properties, importance in the fields of photovoltaics (solar cells/renewable energy) and integrated circuits industries, and, to a limited extent, environmental impact of silicon production.
This figure, the famous Keeling Curve, shows the history of atmospheric carbon dioxide concentrations as directly measured at Mauna Loa, Hawaii. This curve is an essential piece of evidence that shows the increased greenhouse gases that cause recent increases in global temperatures.
This simulation allows the user to project CO2 sources and sinks by adjusting the points on a graph and then running the simulation to see projections for the impact on atmospheric CO2 and global temperatures.
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.
In this TED talk, Wall Street Journal science columnist Lee Hotz describes the research of the Western Antarctic Ice Sheet (WAIS) Divide project, in which scientists examine ice core records of climate change in the past to find clues to climate change in the future.
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.