Students will learn to:
* Observe and record weather patterns
* Process data by creating graphs/charts
* Compare actual weather data from the Siberian Arctic to local weather patterns, draw conclusions and make future predictions concerning weather patterns.
Big Idea
Why do people need to track weather over time?
Lesson Preparation
You will need a thermometer, tracking calendar, and
Attached is a resource for lessons and simulations that involve studying the Greenhouse Effect and how it affects temperature readings on our planet. The simulations created by PHET are incredible. https://phet.colorado.edu/ Aside from the Greenhouse Effect simulation in this lesson, this site has a large variety of resources for any grade levels to be used as lessons, labs
This lesson is a modification of what Dave Hess and I, Stan Skotnicki, use in our Earth Science classes at Cheektowaga Central High School. It is an extension of our lesson on Celestial Motions as we track the apparent path of the sun across the sky at different latitudes. Prior to this Lab activity they would have already
This scientific article, focuses on one of the largest pools of global carbon that is, the organic C stored in permafrost (perennially frozen) ground, and on the vulnerability to change under an increasingly warmer climate.
A scientific report describing the results of the CiPEHR Experiment as of 2011. This report attempts to answer these questions:
(1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?,
(2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss?, and
(3) How do
The Geophysical Institute Permafrost Laboratory (GIPL)
The Permafrost Laboratory deals with scientific questions related to the circumpolar permafrost dynamics and feedbacks between permafrost and global change. At the Permafrost Laboratory, data related to the thermal and structural state of circumpolar permafrost is collected and analyzed. The focus of our research is the development of methods to physically and mathematically model
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
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