This module contains five activities, in increasing complexity, that focus on understanding how to interpret and manipulate sea level data, using real data from NOAA.
Students first need to understand how to access and interpret sea surface height and tide data. To understand how to interpret these data, students will review and practice computing mean values. Along the way, they will learn how different factors, such as storms, affect tide levels and how to measure them. The goal is for students to become experienced with these kinds of data and the tools for accessing them so that, by the end of the module, they can continue to explore data sets driven by their own inquiry.
This video focuses on the science of climate change and its impacts on wildlife on land and in the sea, and their habitats in the U.S. There are short sections on walruses, coral reefs, migrating birds and their breeding grounds, freshwater fish, bees, etc. Video concludes with some discussion about solutions, including reduce/recyle/reuse, energy conservation, backyard habitats, citizen scientists.
In this intermediate Excel activity, students import US Historical Climate Network mean temperature data into Excel from a station of their choice. They are then guided through the activity on how to use Excel for statistical calculations, graphing, and linear trend estimates. The activity assumes some familiarity with Excel and graphing in Excel.
This activity is a learning game in which student teams are each assigned a different energy source. Working cooperatively, students use their reading, brainstorming, and organizational skills to hide the identity of their team's energy source while trying to guess which energy sources the other teams represent.
This is the seventh of nine lessons in the 'Visualizing and Understanding the Science of Climate Change' website. This lesson addresses climate feedback loops and how these loops help drive and regulate Earth's unique climate system.
In this activity, students use Google Earth to investigate a variety of renewable energy sources and select sites within the United States that would be appropriate for projects based on those sources.