In this activity, students estimate the drop in sea level during glacial maxima, when ice and snow in high latitudes and altitudes resulted in lower sea levels. Students estimate the surface area of the world's oceans, use ice volume data to approximate how much sea levels dropped, and determine the sea-level rise that would occur if the remaining ice melted.
This video describes the role that dendrochronology plays in understanding climate change, especially changes to high elevation environments at an upper tree line. Dendrochronologists from the Big Sky Institute sample living and dead trees, describe how correlations between trees are made, and explain how tree cores record climate changes.
A simple three-part diagram from UNEP GRID Vital Water Graphics showing what the impact of global warming will be on projected coastlines and populated areas of Bangladesh with a 1 and 1.5 m sea level rise relative to the current coastline.
This short video reviews how nations and individuals on Earth can work together to reduce the emission of CO2. It discusses strategies to reduce greenhouse gas emissions (energy conservation, renewable energies, change in energy use) and the role that government can play in this process.
This is an interactive webtool that allows the user to choose a state or country and both assess how climate has changed over time and project what future changes are predicted to occur in a given area.
This video highlights a variety of current climate change research initiatives from scientists at the University of Colorado, Boulder. It describes the changing dynamics of Antarctic ice sheets and glaciers and the impacts of reduced Arctic sea ice on people, animals, and global albedo and sea levels, while providing a glimpse of the excitement of this field research through interviews and video clips of scientists in the field.
Students use real satellite data to determine 1) where the greatest concentrations of aerosols are located during the course of a year in the tropical Atlantic region and 2) their source of origin. This is an inquiry-style lesson where students pull real aerosol data and attempt to identify trends among data sets.