In this activity, students compare two photographs (with time spans of 30-100 years between photos) of specific Alaskan glaciers to observe how glaciers have changed over the time interval. Activity is a good kickoff for learning about glaciology - how and why glaciers form, grow and shrink, and their relation to climate change.
In this activity, students learn about the urban heat island effect by investigating which areas of their schoolyard have higher temperatures - trees, grass, asphalt, and other materials. Based on their results, they hypothesize how concentrations of surfaces that absorb heat might affect the temperature in cities - the urban heat island effect. Then they analyze data about the history of Los Angeles heat waves and look for patterns in the Los Angeles climate data and explore patterns.
In this activity, students distinguish between directly and indirectly transmitted diseases and participate in a group game to simulate the spread of vector-borne diseases. They then research a particular pathogenic disease to learn how global warming and biodiversity loss can affect disease transmission.
In this activity, students will practice the steps involved in a scientific investigation as they learn why ice formations on land (and not those on water) will cause a rise in sea level upon melting. This is a discovery lesson in ice and water density and displacement of water by ice floating on the surface as it relates to global climate change.
This activity introduces students to plotting and analyzing phenology data. Students use 30 years of data that shows the date of the first lilac bloom and the number of days of ice cover of nearby Gull Lake.
In this activity, students use Google Earth and team up with fictional students in Chersky, Russia to investigate possible causes of thawing permafrost in Siberia and other Arctic regions. Students explore the nature of permafrost and what the effects of thawing permafrost mean both locally and globally. Next, students use a spreadsheet to explore soil temperature data from permafrost boreholes and surface air temperature datasets from in and around the Chersky region for a 50-year time span.
In this activity, students learn about sea ice extent in both polar regions (Arctic and Antarctic). They start out by forming a hypothesis on the variability of sea ice, testing the hypothesis by graphing real data from a recent 3-year period to learn about seasonal variations and over a 25-year period to learn about longer-term trends, and finish with a discussion of their results and predictions.