C-Learn is a simplified version of a climate simulator. Its primary purpose is to help users understand the long-term climate effects (CO2 concentrations, global temperature, sea level rise) of various customized actions to reduce fossil fuel CO2 emissions, reduce deforestation, and grow more trees. Students can ask multiple, customized what-if questions and understand why the system reacts as it does.

This monthly bulletin and animation provides regular and reliable visualizations of world weather and climate events of the previous month using NOAA data. Archives are available from October 2011 to present.

This video montage of spectacular NASA satellite images set to music shows different types of ice and ice features as well as descriptions of satellite-based measurements of ice cover. Text captioning describes how global ice cover is changing, and how this is measured.

In this activity students work with data to analyze local and global temperature anomaly data to look for warming trends. The activity focuses on the Great Lakes area.

This video from a 2005 NOVA program features scientists who study the Jakobshavn Isbrae glacier in western Greenland. The glacier is shrinking and moving faster due to increased melting in recent years. The video includes footage of scientists in the field explaining methods and animation of ice sheet dynamics leading to faster glacier movement.

In this activity, students conduct a short hands-on demonstration that simulates ocean acidification resulting from excess atmospheric carbon dioxide and discuss potential implications of increases in ocean temperatures and acidification due to climate change.

This short video clip summarizes NOAA's annual State of the Climate Report for 2009. It presents a comprehensive summary of Earth's climate in 2009 and establishes the last decade as the warmest on record. Reduced extent of Arctic sea ice, glacier volume, and snow cover reflect the effects of rising global temperature.

This National Weather Service interactive visualization includes outlook maps for different types weather predictions. The map includes temperature and precipitation predictions for up to 3 months out, as well as predictions for tropical hazards, weather hazards, and drought. Further data is easily accessed.

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, one needs to consider long-term data.

In this activity, students download historic temperature datasets and then graph and compare with different locations. As an extension, students can download and examine data sets for other sites to compare the variability of changes at different distinct locations, and it is at this stage where learning can be individualized and very meaningful.

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