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

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.

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 interactive map allows the user to explore projected alterations of land surfaces in coastal communities, based on different scenarios of sea level changes over time.

This activity includes a set of slides with embedded images, animations, and interactives that students use to investigate extreme weather events. This is module 8 of a Satellite Meteorology course.

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.

This is a long-term inquiry activity in which students investigate locations they believe harbor cellulose-digesting microbes, collect samples, isolate them on selective media, and screen them for cellulase activity. These novel microbes may be useful for the production of cellulosic ethanol. In the process they learn about plating techniques, serial dilutions, symbiotic relationships and enzyme specificity. Two methods are provided, one focusing on isolation of pure microbial strains, the other focusing on finding symbiotic communities of microbes.

This data viewing tool from NOAA offers nearly instant access to dozens of datasets about Earth through an engaging interface. Users can select data categories from atmosphere, ocean, land, cryosphere, and climate and drill down from there into more detailed categories.

This is an interactive graph that involves records of ice cover in two Wisconsin lakes - Lake Mendota and Lake Monona - from 1855-2010.

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