C-Learn is a simplified version of the C-ROADS simulator. Its primary purpose is to help users understand the long-term climate effects (CO2 concentrations, global temperature, sea level rise) of various customized actions to reduce fossil fuel CO2 emissions, reduce deforestation, and grow more trees. Students can ask multiple, customized what-if questions and understand why the system reacts as it does.
The Climate Momentum Simulation allows users to quickly compare the resulting sea level rise, temperature change, atmospheric CO2, and global CO2 emissions from six different policy options projected out to 2100.
This simulation provides scenarios for exploring the principles of climate dynamics from a multi-disciplinary perspective. Interconnections among climate issues, public stakeholders, and the governance spheres are investigated through creative simulations designed to help students understand international climate change negotiations.