Modeling the Melting of Permafrost

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Bibliographic Details
Title: Modeling the Melting of Permafrost
Language: English
Authors: Mattox, Stephen R., Duda, Stephanie
Source: Science Teacher. Mar-Apr 2022 89(4):30-37.
Availability: National Science Teaching Association. 1840 Wilson Boulevard, Arlington, VA 22201-3000. Tel: 800-722-6782; Fax: 703-243-3924; e-mail: membership@nsta.org; Web site: https://www.nsta.org/
Peer Reviewed: Y
Page Count: 8
Publication Date: 2022
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Models, Scientific Concepts, Earth Science, Science Activities, Visualization, Climate, Ecology, Class Activities, Data Interpretation, Science Process Skills
Geographic Terms: Alaska
ISSN: 0036-8555
Abstract: Permafrost is any soil or surface deposit in an Arctic or alpine region at some depth below the surface at which the temperature has remained below zero degrees Celsius (32 degrees Fahrenheit) continuously for a long period of time. The amount of carbon dioxide and methane stored in permafrost is nearly twice the amount in the atmosphere and, as the ice melts, these greenhouse gases escape, warming the planet. Locally, the land surface is disturbed, the water cycle changes, and ecosystems are disrupted. Changes to the atmosphere are invisible and permafrost forms in distant polar regions, so it is difficult for people to see changes that result from melting permafrost. Building a model in the classroom connects students with a visual representation of permafrost and provides observations of physical and thermal changes. This article describes a lesson in which students begin by examining why the melting of permafrost matters. Next, they construct a physical model of permafrost in the classroom that provides insights through observation, data collection, and comparison to authentic permafrost data. In addition to constructing a realistic physical model, students use technology to measure temperature. The lesson concludes with students interpreting data from Alaska to identify patterns and estimate the rate of change.
Abstractor: ERIC
Entry Date: 2022
Access URL: https://www.nsta.org/science-teacher/science-teacher-marchapril-2022/modeling-melting-permafrost
Accession Number: EJ1339954
Database: ERIC
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