This lesson was created by 2017 PolarTREC teacher Steve Kirsche who took part in the Dynamic Observations of the Microstructural Evolution of Firn expedition. The lesson is intended to introduce students to the concepts of isostasy and postglacial rebound through a demonstration and related instruction. Students will then see how postglacial rebound is an important factor when assessing the
This lesson is intended to introduce students to the concept of using ice core samples to learn about the past. Students will be “collecting” a sample from a model of ice. They will then evaluate the sample to see how the layers change as the depth changes.
Objectives
At the completion of this lesson, students will gain a greater
The Dartmouth Engineer Magazine profile Eric Wagner, the PhD candidate who is a member of the team going to Greenland. PolarTREC teacher Steve Kirsche is also mentioned in the article.
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
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
Students will undertake a long term project to evaluate the effectiveness of different local forecasters, match the forecast with the actual weather and analyze which forecaster is best.
Objective
Students will compare the accuracy of different weather forecasts. Students will compile and analyze their own data gaining a better understanding of the challenges involved in weather forecasting
Given sets of graphable data students will show that various viewpoints can be supported depending on how data is presented and interpreted. These may or may not be accurate or relevant representations of data results over time. This lesson contains basic graphing components, interpretation of information and communication to others of findings depicted in graphs. Teachers may choose