NASA’s Operation IceBridge uses remote sensing techniques to build a picture of parts of our world not accessible or easily observed by humans. Flying 1500 feet above sea and land ice, the science team uses LiDAR, Radar, Infrared imaging, and high resolution digital imagery to collect information about our polar regions year after year. In this classroom project, inspired and
As the homepage of the website describes, "The beauty of the Arctic, its precious and fragile nature, its critical role in maintaining a stable climate for the planet, and the rapid rate of change that is occurring there must all be conveyed to the general public. Here, through digital story telling, we put a human face on science, life, societies
This data plotting lesson compares different stratospheric ozone data collected at the South Pole in September 1969, September 1998, September 2008, January 1999, and January 2008. This ozone comparison activity allows students to make conclusions about the annual and seasonal ozone hole as well as overall ozone concentration changes over Antarctica. Students use authentic data collected at the
Students will use marshmallows to simulate toxins in the environment. Concentrations of these toxins will be modeled and calculated as they bioaccumulate up the food chain. Methylmercury and POPs are substances that bioaccumulate in the Arctic food chain. OASIS scientists studied these in Barrow, Alaska. (See Ocean Atmosphere Sea Ice and Snow (OASIS) Project at www.polartrec.com)
Students will discover how a simple action such as turning on a television will lead to toxins in our food supply. Many of these toxins concentrate in the Arctic because of long-range transport of pollutants in the atmosphere. Scientists in the OASIS project (http://www.polartrec.com/ocean-atmosphere-sea-ice-and-snowpack-interactions) study these pollutants in the Arctic. Students will learn about actions that they can take to
In this activity students learn about varves, annual sediment layers found in lakes. Students will analyze authentic varve data from New England in order to correlate data from three different geographic locations .
Objective
Students will analyze authentic varve sediment data and create a graph of varve thickness. Students will use their results to make inferences about
This data plotting lesson is about temperature changes throughout the atmosphere. The data was collected together with the ozone data in January 2008.
The temperature vs. altitude profile allows students to make conclusions about annual and seasonal temperature changes in the atmosphere up to about 35 kilometers in the stratosphere. The best part of this lesson is using
Article from The Shorthorn - University of Texas at Arlington's student newspaper detailing PI Laura Gough's participation in a PolarTREC Live from IPY! Event. Laura is working with PolarTREC teacher Cathy Campbell at Toolik Station, Alaska this summer.
This website provides information on the Arctic ground squirrel including facts and pictures explaining the adaptations the squirrel has to survive the harsh Arctic winters.