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)

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 2012. 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 (1978-2015) 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)

These e-training resources from the GLOBE Program consist of three modules for teachers and one for scientists: Introduction to GLOBE; Introduction to GLOBE for Scientists; Introduction to the Atmosphere Investigation Area, and Clouds Protocols. The... (View More) modules can be used as a review for current GLOBE teachers; additional training material for GLOBE trainers to use before, during, or after GLOBE trainings; and an introduction to GLOBE for Scientists. GLOBE (Global Learning and Observation to Benefit the Environment) is a worldwide, hands-on, K-12 school-based science education program. (View Less)

Through a series of interactive multimedia activities, animations, videos, and online lessons, students develop an understanding of permafrost and its connections to climate change. NASA data from space, suborbital, and ground platforms are... (View More) included, along with tutorials on using related data analysis tools such as Google Earth, ImageJ, and NASA’s GIOVANNI. An indigenous knowledge database is also included as a resource. (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)

This self-paced, interactive tutorial incorporates data sets from a variety of sources to investigate coastal oceanographic processes and their connections to climate and biology. Learners will predict coastal upwelling events based on prevailing... (View More) physical conditions, and become familiar with how upwelling and bloom events in the ocean can be detected using satellite imagery, and make connections between local ocean conditions and global consequences. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the second of three modules in the tutorial, Coastal Upwelling. (Note: requires Java plug-in) (View Less)

This self-paced, interactive tutorial examines upwelling in non-coastal regions of the ocean as well as the factors that influence algal blooms. Learners become familiar with ocean dynamics that create a surface deficit of water and cause upwelling,... (View More) and engage in activities that allow them to detect and measure the areal extent of blooms using remotely-sensed imagery. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the third of three modules in the tutorial, Coastal Upwelling. (Note: requires Java plug-in) (View Less)

This self-paced, interactive tutorial introduces classic weather patterns and unique meteorological events associated with the seasons in the Great Lakes region, while simultaneously demonstrating the utility of remote-sensing data to monitor... (View More) changes in weather and climate. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the third of three modules in the tutorial, Great Lakes Weather and Climate. (Note: requires Java plug-in) (View Less)

This self-paced, interactive tutorial explores the use of remote-sensing data to monitor Great Lakes weather and climate. Interactive tools are provided to allow the learner to compare the surface area of the different Great Lakes. Seasonal climate... (View More) extremes observed in the Great Lakes region is explained by the geographical characteristics of its mid-latitudinal location, and are documented in a series of seasonal images produced by satellite sensors. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the first of three modules in the tutorial, Great Lakes Weather and Climate. (Note: requires Java plug-in) (View Less)

This self-paced, interactive tutorial explores how biological activity helps to determine vertical nutrient distributions in the ocean, examines why upwelling boosts marine productivity, and considers how various physical forces interact to... (View More) determine upwelling. Learners then predict coastal upwelling events based on prevailing physical conditions as identified in remotely-sensed imagery. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the first of three modules in the tutorial, Coastal Upwelling. (Note: requires Java plug-in) (View Less)