The attached PowerPoint is an introduction to thermal stratification and turnover in lakes, and interpretation of temperature profile data. The stand-alone presentation can be used to complement a lesson in Earth Science.
To learn about the effects of air pollution on Sea Ice. This can be a library/computer lab-based activity.
Procedure
Teacher:
1. Mix up a 3.5% solution of NaCl. Make enough "sea-ice" cubes for each pair of students
2. Make another class set of ice cubes with tap water. Leave the ice in the freezer until after the
Join the International Sun Shadows Project! - Pupils and teachers all over the world will join forces to measure the shadows of a 1m long stick.
Participation in the project is free and open to all! Teachers, students and scientists from around the world are encouraged to join in and make their own measurements and enter the data
The sediment in Lake El'gygytgyn, (pronounced EL-ge-GIT-gin) located in NE Siberia, holds one of the longest records of climate change anywhere in the continental Arctic. How does sediment (clay and mud) tell us something about past climate? Proxy data! By studying the microfossils of diatoms and pollen in the sediment, we can re-construct the lake environment millions of
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
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