Students watch a short video to gather information about sources of methane emissions and then extend their understanding of these sources to evaluate monthly trends in the Alaska region, ultimately making connections to Earth’s energy budget.
Educational Resources - Search Tool
Check out this interactive data visualization and simulation tool. It explores the impact of collapsing polar ice sheets (Greenland and Antarctica) and their impact on global mean sea level rise, along with shrinkage in the livable area around the world.
Students watch a NOVA PBS video about the different effects of clouds on climate and Earth's energy budget. Then they answer questions and brainstorm to complete a flow chart of events that might occur if the percentage of absorbing clouds increases.
Students will practice the process of making claims, collecting evidence to support claims, and applying scientific reasoning to connect evidence to claims.
Helping students build their understanding of Earth's spheres and how they are connected is difficult. Review the graphics to help identify the parts of the Earth System and the processes that connect them at the local, regional, and global scales.
NASA Worldview is a free online visualization tool that is a great launchpad for learners who are new (or veteran) users of satellite data.
This graphic organizer may be used to help students analyze the processes and components of Earth System phenomena.
The Earth System Satellite Images help students observe and analyze global Earth and environmental data, understand the relationship among different environmental variables, and explore how the data change seasonally and over longer timescales.
The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner determine relationships among variables.
The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships, identify patterns, and determine relationships among variables.