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Use the Data Literacy Cubes to guide students’ exploration of data to enrich their observations and inferences. This is a flexible resource that may be used with a variety of graphical representations of data. This activity requires a graph for students to evaluate.
In this lesson, Observing Earth’s Seasonal Changes, students observe patterns of average snow and ice amounts as they change from one month to another, as well as connect the concepts of the tilt and orbit of the Earth (causing the changing of seasons) with monthly snow/ice data from January 2008
This activity is one of a series in the collection, The Potential Consequences of Climate Variability and Change activities.
Check out this the Arctic and Earth SIGNs video to explore how climate models are used in climate change research.
Scientific data are often represented by assigning ranges of numbers to specific colors. The colors are then used to make an images which allow us to see patterns more easily. Students will make a false color image using a set of numbers.
Examine a true color satellite image to determine the volume of ice lost in the Eyjabakkajökull Glacier between 1973 and 1991.
Information from satellites if often used to display information about objects. This information can include how things appear, as well as their contents. Explore how pixel data sequences can be used to create an image and interpret it.
This activity invites students to simulate and observe the different effects on sea level from melting sea-ice.
Credit: Modified from POLAR-PALOOZA (National Science Foundation under Grant No. 0632262) and the Office of Science, Department of Energy.
This activity invites students to model and observe the effect of melting ice sheets (from land) on sea level and the difference between the effect of melting sea-ice to that of melting land ice on sea level.
The Earth's system exemplifies stability and change. Change and rates of change can be observed and quantified over very short or long periods of time and at various spatial scales (e.g., from landscape level to global processes).