Module: Regional CO2 emissions

Description
Allows users to enter inputs that descibe regional/national emission reduction policies, projects regional/national emissions under those policies, and calculates national/regional and global emissions. Policies can be simulated for the 2010-2100 time period.

Input variables
C-LEARN users can enter inputs that describe a single kind of policy:

• Percentage emissions reductions in target year vs. baseline year

C-ROADSs allows inputs that describe three additional policies:

• Percentage annual reduction in emissions from start year to end of policy
• Policies based on emission intensity targets (emissions per unit of GDP)
• Policies that seek national/regional convergence in per capital emissions or emission intensity

Key assumptions

• Historical emissions/GDP and forecasted future population/GDP from data sources listed in C-LEARN attributes
• National groupings listed on page 16 of C-ROADS Simulator Reference Guide. C-LEARN allows for 3 regional groupings (Developed Countries, Rapidly Developing Countries, Other Developing Countries), while C-ROADS allows testing of policies with 3, 7, or 15 regional groupings.

Output variables

• Future national/regional emissions
• Future global emissions
• Future national/regional emissions per capita
• Future national/regional emissions intensity

Module: Other greenhouse gasses (CH4 and N2O)

Description
Allows users to examine the impact of variations in atmospheric concentrations of two other greenhouse gases: methane (CH4) and nitrous oxide (N20). This module is not accessible through C-LEARN's Web interface, but it is acciessible in C-ROADS. This is based on atmospheric concentrations of CH4 and N2O derived from runs of the large scale climate model developed by the University Corporation for Atmospheric Research (UCAR, the Model for the Assessment of Greenhouse Gas-Induced Climate Change (MAGICC).

Input variables
Users can choose a range of values for NH4 and NO2 concentrations.

• Parameter value of 1 correspends to concentrations associated with MAGICC's simuation of the IPCC A1FI (rapid economic growth, fossil fuel intensive) scenario.
• Parameter value of 0 corresponds to concentrations associated with MAGICC's simulation of the IPCC B1 (cleantech, energy efficiency) scenario.
• Intermediate parameter values correspond to intermediate levels of NH4 and NO2 concentrations.

Key assumptions
Based on atmospheric concentrations of CH4 and NO2 that result from runs of MAGICC.

Output variables

• Future atmospheric concentrations of NH4
• Future atmospheric concentrations of NO2

Module: Land use

Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables

Module: Carbon cycle

Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables

Module: Global Average Surface Temperature

Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables

Module: Sea level rise

Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables

Return to C-LEARN