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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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Model attributes

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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

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- gases
- Land use
- Carbon cycle

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Model diagram
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