A series of activities designed to introduce students to the role of sediments and sedimentary rocks in the global carbon cycle and the use of stable carbon isotopes to reconstruct ancient sedimentary environments. Students will make some simple calculations, think about the implications of their results, and see an optional demonstration of the density separation of a sediment sample into a light, organic and a heavier mineral fraction.
In this activity for undergraduates, students explore the CLIMAP (Climate: Long-Range Investigation, Mapping and Prediction) model results for differences between the modern and the Last Glacial Maximum (LGM) and discover the how climate and vegetation may have changed in different regions of the Earth based on scientific data.
This activity offers an introduction to working with Geographic Information Systems (GIS) by using field data on the Urban Heat Island Effect that was collected by students. The field data is entered in the GIS, displayed in a map, and analyzed.
In this activity, students examine global climate model output and consider the potential impact of global warming on tropical cyclone initiation and evolution. As a follow-up, students read two short articles on the connection between hurricanes and global warming and discuss these articles in context of what they have learned from model output.
This teaching activity addresses regional variability as predicted in climate change models for the next century. Using real climatological data from climate models, students will obtain annual predictions for minimum temperature, maximum temperature, precipitation, and solar radiation for Minnesota and California to explore this regional variability. Students import the data into a spreadsheet application and analyze it to interpret regional differences. Finally, students download data for their state and compare them with other states to answer a series of questions about regional differences in climate change.
Students consider why the observed atmospheric CO2 increase rate is only ~60% of the CO2 loading rate due to fossil fuel combustion. They develop a box-model to simulate the atmospheric CO2 increase during the industrial era and compare it to the historic observations of atmospheric CO2 concentrations. The model is then used to forecast future concentrations of atmospheric CO2 during the next century.
In this activity, students compare carbon dioxide (CO2) data from Mauna Loa Observatory, Barrow (Alaska), and the South Pole over the past 40 years to help them better understand what controls atmospheric carbon dioxide. This activity makes extensive use of Excel.
This resource is a website that is a self-contained, multi-part introduction to how climate models work. The materials include videos and animations about understanding, constructing and applying climate models.