This animation shows predicted changes in temperature across the globe, relative to pre-industrial levels, under two different emissions scenarios in the COP 17 climate model. The first is with emissions continuing to increase through the century. The second is with emissions declining through the century.

The Climate Momentum Simulation allows users to quickly compare the resulting sea level rise, temperature change, atmospheric CO2, and global CO2 emissions from six different policy options projected out to 2100.

This visualization shows the molecular interaction of infrared radiation with various gases in the atmosphere. Focus is on the interaction with C02 molecules and resultant warming of the troposphere.

Students participate in a demonstration to explore how clouds form and what conditions are necessary for cloud formation.

This carbon calculator, developed by the EPA, guides students in calculating their carbon footprint and then using that information to make decisions about how to reduce their carbon emissions.

This straightforward calculator provides conversions from one unit of energy to the equivalent amount of CO2 emission expected from using that amount.

Here students use data from the NOAA carbon dioxide monitoring sites, such as Mauna Loa, to graph the Keeling Curve for themselves on large sheets of paper. Each group graphs one year, and the graphs are joined at the end to reveal the overall upward trend. The explanation describes the carbon cycle and how human activities are leading to the overall trend of rising carbon dioxide.

In this activity, students make and manipulate physical shoreline models to discover the features of resilient shorelines and to critically evaluate the impacts of rising seas. Students will use NOAA's Sea Level Rise Viewer to observe a coastal area of interest and predict the consequences of sea level rise on people, the environment, and the economy. Though the curriculum references North Carolina, this lesson will work for all coastal areas.

This interactive visualization depicts sea surface temperatures (SST) and SST anomalies from 1885 to 2007. Learn all about SST and why SST data are highly valuable to ocean and atmospheric scientists. Understand the difference between what actual SST readings can reveal about local weather conditions and how variations from normalâcalled anomaliesâcan help scientists identify warming and cooling trends and make predictions about the effects of global climate change. Discover the relationships between SST and marine life, sea ice formation, local and global weather events, and sea level.

An interactive simulation that allows the user to adjust mountain snowfall and temperature to see the glacier grow and shrink in response.

Pages