Pollutants and non-GHG forcing agents - C3IAM: Difference between revisions
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C<sup>3</sup>IAM calculates emissions of aerosols and ozone precursors (SO<sub>2</sub>, NOx, PM<sub>2.5</sub>, BC, OC, CO, NMVOCs, and NH<sub>3</sub>). SO<sub>2</sub> emission is a major source of aerosols that are thought to have a cooling effect, and other gases are all important for the climate and chemistry components. | |||
These air pollutants emissions in the base year are calibrated to the GAINS (Greenhouse gas–Air pollution Interactions and Synergies) model. The GAINS emission scenarios are used as input to C<sup>3</sup>IAM frameworks to characterize the long-term air pollution trajectories. | |||
Latest revision as of 05:01, 28 June 2021
| Corresponding documentation | |
|---|---|
| Previous versions | |
| Model information | |
| Model link | |
| Institution | Center for Energy and Environmental Policy Research, Beijing Institute of Technology (CEEP-BIT), China, http://ceep.bit.edu.cn/english/. |
| Solution concept | General equilibrium (closed economy) |
| Solution method | Optimization |
| Anticipation | |
C3IAM calculates emissions of aerosols and ozone precursors (SO2, NOx, PM2.5, BC, OC, CO, NMVOCs, and NH3). SO2 emission is a major source of aerosols that are thought to have a cooling effect, and other gases are all important for the climate and chemistry components.
These air pollutants emissions in the base year are calibrated to the GAINS (Greenhouse gas–Air pollution Interactions and Synergies) model. The GAINS emission scenarios are used as input to C3IAM frameworks to characterize the long-term air pollution trajectories.