This video highlights a team of scientists who work on reconstructing the mass extinction that occurred 250 million years ago, the end of the Permian Period, and wiped out the majority of life on our planet, resetting the evolution of life. Clues suggest that deadly bacteria might have set off a chemical chain reaction that poisoned the Permian seas and atmosphere.
This Earth Exploration Toolbook chapter is a detailed computer-based exploration in which students learn how various climatic conditions impact the formations of sediment layers on the ocean floor. They analyze sediment core data from the Ross Ice Shelf in Antarctica for evidence of climate changes over time. In addition, they interact with various tools and animations throughout the activity, in particular the Paleontological Stratigraphic Interval Construction and Analysis Tool (PSICAT) that is used to construct a climate change model of a sediment core from core images.
This board game, designed for middle school students, introduces the concepts of energy use in our lives and the real impact that personal choices can have on our energy consumption, energy bills, and fuel supply.
In this activity, students research various topics about ocean health, e.g. overfishing, habitat destruction, invasive species, climate change, pollution, and ocean acidification. An optional extension activity has them creating an aquatic biosphere in a bottle experiment in which they can manipulate variables.
This lesson is a lab in which students use thermometers, white and dark paper, and lamps to measure differences in albedo between the light and dark materials. Connections are made to albedo in Antarctica.
This visualization is a utility-scale, land-based, 80-meter wind map. It states, utilities, and wind energy developers use to locate and quantify the wind resource, identifying potentially windy sites within a fairly large region and determining a potential site's economic and technical viability.
In this activity, students review techniques used by scientists, as they analyze a 50-year temperature time series dataset. The exercise helps students understand that data typically has considerable variability from year to year and to predict trends or forecast the future, there is value in long-term data collection.