In this lesson, students will explore the effect of aerosols on sky color and visibility by using an interactive virtual model. 

Students will analyze images and data from a variety of NASA sensors and satellites depicting the wildfires of northern Canada to understand the state of the atmosphere at the time. Then they will answer a series of questions. 

Students watch a 28-minute video on NASA's involvement in fighting wildfires.

This video addresses the following question: "We know that there are a number of ways that data can be visualized. Would you please describe your process for looking at the same data as represented by different graph types and how this helps inform your meaning making from the data?"

Students will practice the process of making claims, collecting evidence to support claims, and applying scientific reasoning to connect evidence to claims.

This video addresses the following question: "We know that the science you do is driven by the big questions around Earth System Science. Could you please describe how you shape the questions that you ask before, during, and after you have collected data, how do you initially look at these data to help explore your initial set of questions?"

This video addresses the following question: "As you think about exploring the data that you have collected, what are the approaches that you use to organize your data and/or process your data before you make meaning from the data?"

This video addresses the following question: "As you look at a data set(s) that has been collected, could you help us understand how you use data visualizations to shape new questions to explore further in the data set(s)?"

This video addresses the following question: "As you think about how you use data visualization(s) to communicate your findings with others, can you describe how you refine the visualization(s) that you present to better support the story that you are sharing with the data visualization?"

This video addresses the following question: "We know that science is very much an iterative process. Can you describe for us your process for developing your follow-up questions after you have interpreted a set of data?"