Students analyze two North Pole orthographic data visualizations produced from soil moisture data. After describing trends in the seasonal thaw of land surfaces, students demonstrate their understanding of Earth’s energy budget by explaining relationships and make predictions about the dataset.
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Students move through a series of short activities to explore and evaluate global solar radiation data from NASA satellites. In this process, students make qualitative and quantitative observations about seasonal variations in net energy input to the Earth System.
In this mini lesson, students analyze a bar graph showing the relative forcings from natural and human factors that affect Earth's climate. They use information from this graph to assess the relative importance of these factors.
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.
In this mini lesson, students explore the relationship of chlorophyll and solar radiation by analyzing line graphs from the North Atlantic during 2016-2018.
The activities in this guide will help students understand variations in environmental parameters by examining connections among different phenomena measured on local, regional and global scales.
Using an infographic, students describe differences in electromagnetic radiation that is part of a model of Earth’s energy budget by applying the defined terms of Shortwave Radiation and Longwave Radiation.
Students construct explanations about Earth’s energy budget by connecting a model with observations from side-by-side animations of the monthly mapped data showing incoming and outgoing shortwave radiation from Earth’s surface.