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C-LEARN is a Web-based version of C-ROADS, a simulation of Sustainability Institute and Ventana Systems that is part of the Climate Interactive effort. In the Collaboratorium, C-LEARN is the primary climate model. Greenhouse gas emission and deforestation/aforestation targets are its primary inputs. Its primary outputs are atmospheric concentrations

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)

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  • Increase in global mean temperature (GMT)

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  • above baseline year

This writeup about C-LEARN contains three primary sections

  • C-LEARN overview
    High level description of the model, ; information about its creators 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
      Brief descriptions of C-LEARN's six sub-models:
      • Regional CO2 emissions
      • Other greenhouse gasses (CH4 and N2O)gases
      • Land use
      • Carbon cycle
      • Global Average Surface TemperatureClimate
      • Sea level rise


    Return to About the Climate Collaboratorium