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.
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.
This visualization focuses on public acceptance of climate science. The set of interactive maps illustrates public opinion on a variety of climate beliefs, risk perceptions, and policy support. The data is from the Yale Project on Climate Communication.
In this activity, students explore whether statements made by the news and media on climate change-related issues are actually true. Examples are provided for Antarctic sea ice and hurricane intensity, but the activity could be extended to other topics as well.
This activity in a case study format explores ice loss from the Greenland ice sheet by way of outlet glaciers that flow into the ocean. Students do basic calculations and learn about data trends, rates of change, uncertainty, and predictions.
This video provides an overview of how computer models work. It explains the process of data assimilation, which is necessary to ensure that models are tied to reality. The video includes a discussion of weather models using the Goddard Earth Observing System (GEOS-5) model and climate models using the MERRA (Modern Era Retrospective Analysis for Research and Applications) technique.
In this JAVA-based interactive modeling activity, students are introduced to the concepts of mass balance, flow rates, and equilibrium using a simple water bucket model. Students can vary flow rate into the bucket, initial water level in the bucket, and residence time of water in the bucket. After running the model, the bucket's water level as a function of time is presented graphically and in tabular form.