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)

In this engineering challenge, student teams are introduced to the engineering design process, and then construct and test an earthquake-resistant structure. The lesson plan includes teacher support, student worksheets, multimedia assets, and links... (View More) for students to conduct Web-based investigations. Authentic assessments, a multiple choice test, and rubrics are included. This is an optional extension activity associated with the resource, Flight Mission Challenge: Improving Earthquake Monitoring, a 3 part, multiple-day Earth science and engineering investigation. (View Less)

Through an analysis of data sets on four parameters - sea ice totals, sea surface temperatures, near surface temperatures and surface type - students must decide whether the Arctic is experiencing climate change and predict any potential effects on... (View More) the rest of the planet. The activity in this lesson involves card sorting, a technique in which index cards, each containing content or diagrams, are grouped according to unifying concepts. The cards in this lesson contain graphs that students have downloaded, summaries they have written, and questions they have derived from the lesson. The graphs used in this activity show satellite data sets for a location above the Arctic Circle. Students will analyze and group the cards and will then write a conclusion in which they explain the connection between the four parameters, and relate them back to climate change. This lesson uses student- and citizen science-friendly microsets of authentic NASA Earth system science data from the MY NASA DATA project. It also includes related links, extensions, an online glossary, and a list of related AP Environmental Science topics. (View Less)

In this data activity, students explore the relationship between surface radiation and mean surface temperature in several geographic regions. By observing how these parameters change with latitude, students will understand the relationship between... (View More) solar radiation and seasonal temperature variation. This activity is part of the MY NASA DATA Scientist Tracking Network unit, designed to provide practice in accessing and using authentic satellite data. (View Less)

Assuming the role of a meteorologist, students will proclaim one month as "Thunderstorm season" for their chosen study area. This decision will be based on analysis of deep convective cloud data downloaded from the Live Access Server. This lesson... (View More) uses student- and citizen science-friendly microsets of authentic NASA Earth system science data from the MY NASA DATA project. It also includes related links, extensions, and an online glossary. (View Less)