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The launch version of the Climate Collaboratorium uses a single climate model, C-LEARN.

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. It takes greenhouse gas emission and deforestation/aforestation targets as inputs and provides outputs such as 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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Overview

above baseline year

This writeup about Name C-LEARN contains three primary sections Brief description

C-LEARN

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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

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Model attributes

Model type Quick running climate model (get exact text from scientific review)
Geographic scope Global
Geographic resolution 3 regions or emission reduction targets, global for deforestation/aforestation targets
Start date 1850
End date 2100
Time step 0.25 year
Approach for addressing risk/uncertainty Model outputs to not show level of uncertainty associated with simulation
Data sources

Country-level CO2 emissions from fossil fuels from Global, Regional, and National Fossil Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory, U.S. Department of Energy.
CO2 emissions from changes in land use from Carbon Flux to the Atmosphere from Land-Use Changes 1850-2005 Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory, U.S. Department of Energy.
GDP and population from Statistics on World Population, GDP and Per Capita GDP, 1-2006 AD Conference Board and Groningen Growth and Development Centre, Total Economy Database.
Business As Usual CO2 emissions projections are calibrated to the scenarios in the IPCC's Special Report on Emissions Scenarios (SRES), with the International Energy Agency (IEA)’s World Energy Outlook 2007 allocations between regions. The C-LEARN default BAU scenario is the IPCC's A1F1 scenario. For an overview of the IPCC scenarios, see "What is the range of GHG emissions in the SRES scenarios and how do they relate to driving forces?" in Summary for Policy Makers section of the SRES.
Population and GDP projections are based on the United Nations’ World Population Prospects 2004 forecast and U.S. Energy Information Agency (EIA)'s International Energy Outlook 2008 GDP forecast, respectively.

Key modules and linkages between them
C-LEARN/C-ROADS is comprised of six sub-models:

Regional CO2 emissions
Other greenhouse gasses (CH4 and N2O)
Land use
Carbon cycle
Global Average Surface Temperature
Sea level rise

Model diagram
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