This activity includes an assessment, analysis, and action tool that can be used by classrooms to promote understanding of how the complex current issues of energy, pollution, supply and consumption are not just global but also local issues.
This visualization is a utility-scale, land-based, 80-meter wind map. It states, utilities, and wind energy developers use to locate and quantify the wind resource, identifying potentially windy sites within a fairly large region and determining a potential site's economic and technical viability.
The Electricity data browser allows individuals and organizations to create, download, or view graphs, reports and tables based on energy data sets for 2001-2013 from the US Energy Information Administration. Data sets include generation and consumption, sales, costs and quality. Can choose various ways to represent these data sets. Note: This site is being updated based on feedback from users.
In this activity students trace the sources of their electricity, heating and cooling, and other components of their energy use though the use of their family's utility bills and information from utility and government websites.
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 U.S.G.S. It is a pilot project, so there is some possibility that the resource may not be maintained over time.
In this activity, students will learn the difference between sea ice and glaciers in relation to sea level rise. They will create and explore topographic maps as a means of studying sea level rise and how it will affect Alaska's coastline.
In this activity, students look at how much solar energy is generated by photovoltaic panels on rooftops or exposed ground locations at installations around the United States. They explore three different websites that monitor and report solar energy production from panels at many different locations. Next, they examine data from a single location, as well as compare data from two different locations. Lastly, they consider how much of a school's or home's energy needs could be supplied by solar power.
This teaching activity addresses regional variability as predicted in climate change models for the next century. Using real climatological data from climate models, students will obtain annual predictions for minimum temperature, maximum temperature, precipitation, and solar radiation for Minnesota and California to explore this regional variability. Students import the data into a spreadsheet application and analyze it to interpret regional differences. Finally, students download data for their state and compare them with other states to answer a series of questions about regional differences in climate change.