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)

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)

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)

Tree ring analysis and satellite data observations are combined in this investigative lesson on past climate. Students will compare the width of tree rings from a real or virtual tree x-section with precipitation levels from authentic satellite... (View More) observations for that same time period. They will then analyze the two sets of data to interpret past climate patterns. 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 data analysis tools. (View Less)

The strength of the historic 1997-1999 El Niño Southern Oscillation (ENSO) event was captured and recorded by NASA Earth observing satellites. By downloading and plotting that satellite data, students will observe and analyze El Niño's effect on... (View More) sea level height and sea surface temperatures. Students will then determine the effects of that same El Niño event on their local environment by downloading and plotting precipitation data for their latitude and longitude. Researching data from beyond the 1997-99 period will also allow students to study the subsequent La Niña. 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)

Latitude and longitude impact climate. Students will learn this first hand by researching the climate for a specific 10° x 10° quadrant of the country. Students will download data sets on both temperature and precipitation for their quadrant and... (View More) will determine averages for each of those factors. Using that information, students will construct a climatogram (a climate diagram). After analyzing the climatogram, students will prepare a poster and give an oral presentation. The influence on their quadrant's climate of additional factors such as elevation, topography and solar intensity will also be considered. Note: This lesson involves several activities. Following the recommended sequence and timetable, the lesson could take six to ten 50-minute class periods. It is possible to reduce the time commitment by modifying the activities. 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, extension, an online glossary, and a list of related AP Environmental Science topics. (View Less)

This lesson explores the relationship between the amount of water vapor in the atmosphere available for precipitation and actual precipitation levels. After accessing and graphing the satellite data on both water vapor and precipitation levels,... (View More) students will examine, compare and interpret monthly, seasonal, yearly and/or global patterns. 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 sample graphs, related links, extensions, an online glossary, and data analysis tools. (View Less)

Students will examine seasonal cloud coverage data in North Carolina (or their local area), and analyze data to determine whether there is a correlation between season, cloud cover and type of cloud most prevalent during each season. Step-by-step... (View More) instructions for use of the MY NASA DATA Live Access Server (LAS) guide students through selecting a data set, importing the data into a spreadsheet, creating graphs, and analyzing data plots. The lesson provides detailed procedures, related links and sample graphs, follow-up questions, extensions, and teacher notes. Designed for student use, MY NASA DATA LAS samples micro datasets from large scientific data archives, and provides structured investigations engaging students in exploration of real data to answer real world questions. (View Less)

In this data analysis activity, students will obtain snow cover and surface temperature data for a locale in Alaska, plot the data, investigate seasonal trends in snow cover, and the relationship between snow cover and surface temperature at that... (View More) locale. Step-by-step instructions for use of the MY NASA DATA Live Access Server (LAS) guide students through selecting a data set, importing the data into a spreadsheet, creating graphs, and analyzing data plots. The lesson provides detailed procedures, related links and sample graphs, follow-up questions, extensions, and teacher notes. Designed for student use, MY NASA DATA LAS samples micro datasets from large scientific data archives, and provides structured investigations engaging students in exploration of real data to answer real world questions. (View Less)

In this data analysis activity, students investigate the relationship between between surface temperature, tropospheric ozone, and air quality. Step-by-step instructions for use of the MY NASA DATA Live Access Server (LAS) guide students through... (View More) selecting a data set, importing the data into a spreadsheet, creating graphs, and analyzing data plots. The lesson provides detailed procedures, related links and sample graphs, follow-up questions, extensions, and teacher notes. Designed for student use, MY NASA DATA LAS samples micro datasets from large scientific data archives, and provides structured investigations engaging students in exploration of real data to answer real world questions. (View Less)