This is a series of NASA Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images taken over a 10 year period, 2000-2010, showing the extent of deforestation in the State of Rondonia in western Brazil over that period of time.

This visualization focuses on public acceptance of climate science. The set of interactive maps illustrates public opinion on a variety of climate beliefs, risk perceptions, and policy support. The data is from the Yale Project on Climate Communication.

This set of animations and interactive simulations from the Byrd Polar Research Center at Ohio State University helps students develop an understanding of models used to understand the Earth system. Students consider the types of data that need to be included in a climate model, looking at inputs, outputs, and variables. The animations show how data is calculated for grid cells and assembled into a comprehensive model.

This is an interactive website that provides descriptive information and data related to ten key climate indicators. These climate indicators and related resources show global patterns and data that are intuitive and compelling teaching tools.

This visualization tool shows sea ice data from 1978 to the present. Selected data can be animated to show changes in sea ice extent over time. Data is added by the National Snow and Ice Data Center as it becomes available.

This animation depicts real-time wind speed and direction at selected heights above Earth's surface, ocean surface currents, and ocean surface temperatures and anomalies.

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 is an interactive map that illustrates the scale of potential flooding in Alabama, Mississippi, and Florida due to projected sea level rise. It is a collaborative project of NOAA Sea Grant Consortium and the US Geological Survey. It is a pilot project, so there is some possibility that the resource may not be maintained over time.

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 that illustrates the relationships between the axial tilt of the Earth, latitude, and temperature. Several data sets (including temperature, Sun-Earth distance, daylight hours) can be generated.

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