This lesson is designed to help students analyze the interaction between different cloud heights and Earth's incoming and outgoing energy.
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This lesson contains a card sort activity that challenges students to predict relative albedo values of common surfaces.
In this activity, students will analyze a NASA sea surface height model of El Niño for December 27, 2015, and answer questions. Then they will be instructed to create a model of their own made from pudding to reflect the layers of El Niño.
Air quality is a measure of the pollution level in the air. Polluted air can be caused by many things. There are manmade and natural sources of emissions.
LIDAR Remote Sensing Technologists uses remote sensing strategies to analyze data to solve problems in areas across the globe. They use LIDAR - Light Detection and Ranging - as a method of remote sensing to examine the surface of the Earth.
Students discuss their current understanding of what Earth systems are and how they work and consider how to identify the boundaries of a region for Earth system study.
Students will engage in a “Zoom In Inquiry” learning routine to understand a world map that shows changes in PM2.5-attributable mortality per 100,000 population (Bondie, 2013).
Science educators strive to engage students in authentic investigations that have students analyze data in order to derive meaning. MND provides unlimited opportunities to engage students in data analysis using Earth System data.
GLOBE protocols and learning activities that complement the Sea Level Change phenomenon are outlined.
The My NASA Data visualization tool, Earth System Data Explorer (ESDE), helps learners visualize complex Earth System data sets over space and time. Visit this page to review the datasets we have available to you and their organization by Earth System sphere, science variable, dataset name, and start/end dates.