By matching pie charts with dates between 2002 and 2020, students will predict how air quality has changed over the past two decades. They will then use color-coded Air Quality Index signatures to assess the accuracy of their predictions.

Students will identify and describe the relationship between land cover classification and surface temperature as they relate to the urban heat island effect. Students will also describe patterns between population density and the locations of urban heat islands. 

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

Learners will explore differences between weather on Earth and space weather and the hazards of each.

In this interactive you will create space weather forecast maps for solar minimum and solar maximum.

Learners will explore the causes and effects of space weather and how NASA studies it.

This StoryMap allows students to explore the urban heat island effect using land surface temperature and vegetation data in a 5 E-learning cycle. Students investigate the processes that create differences in surface temperatures, as well as how human activities have led to the creation of urban heat islands. 

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

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.

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.