This chapter describes the technique of preparing GIS-ready data and shows how to map that data and conduct basic analyses using a geographic information system (GIS). First, the user will download and format near real-time and historical earthquake... (View More) data from the USGS. Using latitude and longitude fields, they will then plot these data in a GIS. Next, they will analyze patterns by querying records and overlaying datasets. Finally, they will examine earthquake distributions, monitor current earthquake activity, and try to predict where the next big earthquake will occur on Earth. Includes teaching notes, step-by-step instructions, case study, tools and data, and going further. This chapter is part of the Earth Exploration Toolbook, which provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)

This activity prepares the student to launch an investigation of the relationship between precipitation and Streamflow for a local watershed. It can enrich a study of the water cycle. Following the step-by-step instruction in this case study,... (View More) students will locate, download, format, and finally graph one year of Web-based data for these two variables. Included is a graph that highlights the details of this often-complex precipitation-streamflow relationship and provides a context for launching a classroom discussion of the balance between surface runoff and infiltration during and after a rain event, soil porosity, soil saturate level, the influence of impervious surfaces in the basin, the impact of slope, wind and air temperature on watershed hydrology, and the influence of high or low vegetation. This chapter is part of the Earth Exploration Toolbook (EET). Each EET chapter provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)

In this activity, users download and graph modeled climate data to explore variability in climate change. Most people know that climate changes are predicted over the next hundred years, but they may not be aware that these changes are likely to... (View More) vary from region to region. Using data from the University of New Hampshire's EOS-WEBSTER, a digital library of Earth Science data, users will obtain annual predictions for minimum temperature, maximum temperature, precipitation, and solar radiation for each of these 5 states: New York, Georgia, Colorado, Minnesota, and California. Data will span the years 2000 through 2100. Users will import the data into Excel and analyze it to see what, if any, regional variability exists. Finally, they will download data for their own state, compare these results with the results from the other 5 states and use their results to answer questions related to climate change. This chapter is part of the Earth Exploration Toolbook (EET). Each EET chapter provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)

Students will be guided through the process of locating and graphing web-based environmental data that has been collected by GLOBE Program participants. This chapter highlights the opportunities for using GLOBE Program data to introduce basic... (View More) concepts of Earth system science. It is part of the Earth Exploration Toolbook, which provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)

This lesson incorporates sea surface data collected by NASA satellites. Data for three surface characteristics- height, temperature and speed- are used for several activities. Students examine the differences in speed of currents relative to... (View More) distance from the Equator. Sea surface data anomalies are charted and further analyzed. In addition, surface current data is presented to examine patterns related to El Niño. Note that this is lesson three of five on the Ocean Motion website. Each lesson investigates ocean surface circulation using satellite and model data and can be done independently. See Related URL's for links to the Ocean Motion Website that provide science background information, data resources, teacher material, student guides and a lesson matrix. (View Less)