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)

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)

Satellite data analysis of both ocean currents and sea surface temperatures will allow students to discover the link that exists between them. Students will download data-based maps on which they will determine and then draw directional movement of... (View More) currents. Then, in both groups and individually, they will discuss the relationship between the currents and sea surface temperatures, answer a set of questions, and predict changes in the appearance of the maps if Earth continues its warming trend. 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, 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)

In this lesson, students will download and analyze two sets of aerosol data: one from 2003 found on the MY NASA DATA Live Access Server (LAS), and one from 2006 taken from the NASA Earth Observations (NEO) site. Analysis of wind plots enable... (View More) students to determine the months of greatest aerosol activity, their path of dispersion, and their original source on the landscape. Step-by-step instructions for use of the MY NASA DATA 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)

This lesson is a case study of atmospheric ozone levels developed from observations over Thule, Greenland in 2002. Students will download a composite graph of this stratospheric ozone data taken from two different sources: the SAGE III satellite and... (View More) an ozone sensor on a weather balloon. Instructions for downloading the graph to either a computer or a graphing calculator (the TI-84 Silver Plus is recommended) are included in the lesson. Students will then compare and analyze the two data sets shown on the graph. Emphasis is placed on the applicability of using the weather balloon data to validate the satellite data. 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, and an online glossary. (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)