This PBS video focuses on sea level rise in Norfolk, Virginia and how the residents are managing the logistical, financial and political implications. Science journalists who have been studying Norfolk's rising sea level problems are interviewed as well are local residents who are being impacted.

In this activity, students explore how, in New England, the timing of color change and leaf drop of deciduous trees is changing.

This video documents how scientists, using marine algae, can study climate change in the past to help understand potential effects of climate change in the future.

In this video a scientist explains how DNA extracted from ancient tree remains provides insights about how trees/plants have adapted, over time, to changes in CO2 in the atmosphere. Her lab research investigates changes in plant genotypes under experimental conditions that simulate potential changes in CO2 levels in the future.

This video discusses the social and economic impacts (worldwide and in the US) of sea level rise caused by global warming (aired April 1, 2011).

This is an animated interactive simulation that illustrates differential solar heating on a surface in full sunlight versus in the shade.

This video focuses on the conifer forest in Alaska to explore the carbon cycle and how the forest responds to rising atmospheric carbon dioxide. Topics addressed in the video include wildfires, reflectivity, and the role of permafrost in the global carbon cycle.

This video provides background information and teaching tips about the history and relevance of phenology and seasonal observations of plants and animals within the context of rural Wisconsin.

One of a suite of online climate interactive simulations, this Greenhouse Gas Simulator uses the bathtub model to demonstrate how atmospheric concentrations of CO2 will continue to rise unless they are lowered to match the amount of CO2 that can be removed through natural processes.

In this activity, students review techniques used by scientists, as they analyze a 50-year temperature time series dataset. The exercise helps students understand that data typically has considerable variability from year to year and to predict trends or forecast the future, there is value in long-term data collection.

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