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.

This mini lesson provides a video on an ultra-high-resolution NASA computer model of how carbon dioxide in the atmosphere travels around the globe. Students will review the video and answer the following questions.

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

In this 5E’s lesson, students observe maps that show smoke and AOD levels surrounding Fresno, California at the time when the 2020 Creek Fire was burning. Students construct a claim that identifies a relationship between fire-related data and air quality data.

Students synthesize information from My NASA Data maps and texts from the EPA website to determine how levels of criteria pollutants have changed from 2005 to 2021. This research will prepare them to respond to the lesson’s essential questions during a Socratic seminar.

The purpose of this lesson is for students to compare data displays to determine which best answers the driving question. To do this they will evaluate the spread of the data and what the displays show. 

Students interpret AQI maps and charts to compare today’s AQI with the past five days. Using the EPA’s air quality activity guides, students create a social media post for residents of their region providing key information related to today’s AQI.

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 compare climographs for two locations to determine the most likely months to expect the emergence of mosquitoes in each location.

Students will engage in a “Zoom In Inquiry” learning routine to understand a world map that shows changes in PM_2.5-attributable mortality per 100,000 population (Bondie, 2013).