The atmosphere (including weather and climate) is the focus of this GLOBE eTraining module. Protocols for investigating several characteristics of the atmosphere such as clouds, precipitation (rain and snow), air and surface temperature, and... (View More) relative humidity are explained. In addition, each module includes interactive digital field and lab experiences, and online assessments. Instructions for uploading observations to the GLOBE database as well as for using the GLOBE visualization system are provided. GLOBE eTraining provides the opportunity for new and experienced GLOBE users to complete science protocol training online. In addition, each module also includes interactive digital field and lab experiences, and online assessments. GLOBE (Global Learning and Observation to Benefit the Environment) is a worldwide, hands-on, K-12 school-based science education program. (View Less)

The biosphere- that part of Earth's land, water and atmosphere that supports life- is the focus of this GLOBE eTraining program module. Protocols for classifying land cover, performing biometric field studies and measuring green-up and green-down... (View More) are explained. In addition, each protocol module includes interactive digital field and lab experiences along with online assessments. Instructions for uploading observations to the GLOBE database as well as for using the GLOBE visualization system are provided. GLOBE eTraining provides the opportunity for new and experienced GLOBE users to complete science protocol training online. GLOBE (Global Learning and Observation to Benefit the Environment) is a worldwide, hands-on, K-12 school-based science education program. (View Less)

This set of three videos illustrates how math is used in satellite data analysis. NASA climate scientist Claire Parkinson explains how the Arctic and Antarctic sea ice covers are measured from satellite data and how math is used to determine trends... (View More) in the data. In the first video, she leads viewers from satellite data collection through obtaining a time series of monthly Arctic and Antarctic average sea ice extents for November 1978-December 2016. In the second video, she begins with the time series from the first video, removes the seasonal cycle by calculating yearly averages, and proceeds to calculate the slopes of the lines to get trends in the data, revealing decreasing sea ice coverage in the Arctic and increasing sea ice coverage in the Antarctic. In the third video, she uses a more advanced technique to remove the seasonal cycle and shows that the trends are close to the same, whichever method is used. She emphasizes the power of math and that the techniques shown for satellite sea ice data can also be applied to a wide range of data sets. Note: See Related & Supplemental Resources for the maps and data files (1978-2016) that will allow you to do the calculations shown in the video. These also include data for different regions of the Arctic and Antarctic, enabling learners to do additional calculations beyond those shown in the videos. (View Less)

Using the MY NASA DATA Live Access Server (LAS), students gather data on both solar radiation and surface temperature for two same-latitude locations. Students then create online graphs of that data to allow for analysis and comparison. 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 includes detailed procedures, analysis questions, teacher notes, related links, background information, lesson extensions, and a list of related AP Environmental Science topics. (View Less)

In this lesson, students will think about their experiences with hurricanes and severe storms, and then learn the basics of what causes hurricanes to form. Students will learn how hurricane prediction has progressed, and how satellite technology is... (View More) used to see inside storms to get improved data for enhancing computer-based mathematical models. To share what they’ve learned, students will create a news report (script or comic strip) to tell others about hurricanes and hurricane prediction. This lesson uses the 5E instructional model. TRMM is Tropical Rainfall Measuring Mission. (View Less)

This worksheet introduces students to the Aura satellite and its Ozone Monitoring Instrument (OMI). Students are asked to visit the Aura website and examine OMI data visualizations to learn about emissions of atmospheric gases such as sulfur... (View More) dioxide, nitrogen oxide and nitrogen dioxide. Students gain experience interpreting OMI data visualizations and are asked to consider implications for climate and human health. (View Less)

In this data analysis activity, students use satellite data to explore the relationship between the amount of water vapor and the temperature of clouds, as well as snowflake shapes and cloud temperature. Step-by-step instructions for use of the MY... (View More) 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 activity, students interpret raw data on snow cover and explore the climatic impact of the "lake effect" - a significant factor determining snowfall amount in the Great Lakes drainage basin is the surface temperature of the lakes.... (View More) 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. An inquiry investigation is included as an extension activity. (View Less)

This textbook chapter presents evidence of a warming climate and outlines how a clear picture of global warming has emerged since the 1980s. Students learn about sampling error sources in climate data, and compare graphical data collected by climate... (View More) scientists Jim Hansen, Philip Jones and Tom Wigley, as they follow the global warming hypothesis move through the process of science. This is the fourth chapter in the unit, Climate Change, which addresses the question of how human activities are changing Earth's climate. The resource includes three classroom investigations, links to current news articles, and a suite of pre- and post-unit assessments. A teacher's guide supports classroom use. This is chapter 4 of Climate Change, part of Global Systems Science (GSS), an interdisciplinary course for high school students that emphasizes how scientists from a wide variety of fields work together to understand significant problems of global impact. (View Less)

In this problem-based data analysis activity, students assume the role of an outdoor sports event planner and use air quality data to make an informed decision about the best times of the year to plan your events. Students use data maps and guiding... (View More) questions, to complete this challenge. 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)