This one hour webinar is conducted by PolarTREC alumni Missy Holzer. She highlighted her work with the High Arctic Change expedition 2008 and bringing inquiry-based science into her classroom. This webinar is part of the C-ISE online professional development course.
Svalbard is an archipelago in the Arctic Ocean, located about midway between Norway and the North Pole. This site explains the physical geography and geology of Svalbard in depth.
This geologic time calculator allows the user to manipulate the relativism of time to other markers. It builds from the classic analogy for illustrating the relative durations of parts of the geologic time scale is the yardstick.
PolarConnect event with Heidi Roop who is working with an Ice Core Drilling team on the West Antarctic Ice Sheet in Antarctica. A PDF of the slides is not available for this event.
This PolarConnect event was held on 16 December 2010 with Heidi Roop who is working with an ice core drilling team on the West Antarctic Ice Sheet. This live event was broadcast and had a live component at the AGU 2010 Fall Meeting.
Live from IPY! event with researcher Heidi Roop and other members of the ice coring team at WAIS Divide Camp, Antarctica. The presentation focused on project and the mechanics and science of ice coring.
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