The electromagnetic spectrum is comprised of all frequencies of electromagnetic radiation that propagate energy and travel through space in the form of waves.
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This investigation is part of the NASA: Mission Geography Module "What are the causes and consequences of climate change?" that guides students through explorations in climatic variability and evidence for global climate change.
Students use albedo values of common surfaces along with photographic images of Earth taken from the International Space Station to make an argument about specific anthropogenic activities that impact Earth’s albedo.
Students analyze historic plant growth data (i.e., Peak Bloom dates) of Washington, D.C.’s famous cherry blossom trees, as well as atmospheric near surface temperatures as evidence for explaining the phenomena of earlier Peak Blooms in our nation’s capital.
Students will analyze a graph showing the amounts of peak energy received at local noon each day over the year changes with different latitudes.
In this interactive, students will observe the effects of albedo, clouds, aerosols, and greenhouse gases on Earth's Energy Budget and differentiate between the concepts of reflection and absorption.
In this interactive, students will identify the forms of energy we receive, analyze patterns in the amount of incoming solar radiation over time, and explain why some locations on Earth have greater variability in the amount of incoming solar radiation throughout a year.
In this interactive, students will identify and describe the different components and flows of energy of the Earth's Energy Budget diagram as well as the imbalances that exist in Earth's Energy Budget.
Students watch a visualization video and answer questions on the potential of increasing megadroughts in the southwest and central United States from 1950-2095 using models created by soil moisture data.
The Earth System Satellite Images, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships for a specific variable, identify patterns, and determine relationships among variables over one year.