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.

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 a graph that illustrates the change in global surface temperature relative to 1951-1980 average temperatures.

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.

Students will analyze a graph showing the variation of energy imbalance on Earth over the year along different latitudinal zones and answer the questions that follow.

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 analyze diagrams showing the effects of clouds on Earth’s Radiation and answer the questions that follow. This mini lesson is designed to help students analyze the interaction between clouds and Earth's incoming and outgoing energy. 

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.