C-LEARN

The current version of the Climate CoLab uses a single climate model, C-LEARN.

For a review of this model by the Climate CoLab Expert Council, see Model Review: C-LEARN.

C-LEARN is a Web-based version of C-ROADS, a simulation of Climate Interactive and Ventana Systems.

The model's inputs are:

• Targets for greenhouse gas emission reduction
• Targets for reductions in deforestation and increases in aforestation

Its outputs are:

• Atmospheric concentration of carbon dioxide (CO2)
• Increase in global mean temperature (GMT) above baseline year

This writeup about C-LEARN contains three primary sections

• C-LEARN overview
  High level description of the model; information about its developers and their institutional affiliation; the model's history and how it can be accessed; documentation and key publications.
  
• C-LEARN attributes
  The model's geographic scope and resolution; its start date, end date, and time step; its data sources; its approach for dealing with uncertainty; and its overall structure.
  
• C-LEARN modules
  
  • Regional CO2 emissions
  • Other greenhouse gases
  • Land use
  • Carbon cycle
  • Climate
  • Sea level rise