Modelling of climate indicators - C3IAM: Difference between revisions
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The C<sup>3</sup>IAM/Climate module represents the climate component, and the emission information generated from C<sup>3</sup>IAM/GEEPA is fed into C<sup>3</sup>IAM/Climate. We used C<sup>3</sup>IAM/Climate to calculate climate indicators such as global mean temperature changes and radiative forcing. Here the Climate module is developed according to the Beijing Climate Center Climate System Model (BCC_CSM), which is one of the earth system models that participated in CMIP5 simulations for the IPCC AR5 (see Figure 1 for the framework). The BCC_CSM has four component models, i.e., Global Atmosphere Model (BCC_AGCM2.1), Land Surface Model (BCC_AVIM1.0), Global Ocean Model (MOM4_L40v1) and Global Thermodynamic Sea Ice Model (SIS). These component models are inter-related and interacted with each other through fluxes of energy, momentum and water. The flux coupler was based on that of NCAR/CCSM2. The BCC_CSM is a fully coupled Climate–Carbon Cycle Model, including oceanic and terrestrial carbon cycle with dynamical vegetation. The atmospheric CO<sub>2</sub> concentration and its temporal evolution can be well reproduced when forced by anthropogenic emissions of CO<sub>2</sub>. In addition to the long-term climate change simulations and projections, BCC_CSM has also been used for short-term climate predictions, as well as the Sub-seasonal to Seasonal (S2S) Prediction Project. | The C<sup>3</sup>IAM/Climate module represents the climate component, and the emission information generated from C<sup>3</sup>IAM/GEEPA is fed into C<sup>3</sup>IAM/Climate. We used C<sup>3</sup>IAM/Climate to calculate climate indicators such as global mean temperature changes and radiative forcing. Here the Climate module is developed according to the Beijing Climate Center Climate System Model (BCC_CSM), which is one of the earth system models that participated in CMIP5 simulations for the IPCC AR5 (see Figure 1 for the framework). The BCC_CSM has four component models, i.e., Global Atmosphere Model (BCC_AGCM2.1), Land Surface Model (BCC_AVIM1.0), Global Ocean Model (MOM4_L40v1) and Global Thermodynamic Sea Ice Model (SIS). These component models are inter-related and interacted with each other through fluxes of energy, momentum and water. The flux coupler was based on that of NCAR/CCSM2. The BCC_CSM is a fully coupled Climate–Carbon Cycle Model, including oceanic and terrestrial carbon cycle with dynamical vegetation. The atmospheric CO<sub>2</sub> concentration and its temporal evolution can be well reproduced when forced by anthropogenic emissions of CO<sub>2</sub>. In addition to the long-term climate change simulations and projections, BCC_CSM has also been used for short-term climate predictions, as well as the Sub-seasonal to Seasonal (S2S) Prediction Project. | ||
[[File:8.png|thumb|Figure 1. The framework of BCC_CSM]] | |||
Revision as of 04:03, 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 | |
The C3IAM/Climate module represents the climate component, and the emission information generated from C3IAM/GEEPA is fed into C3IAM/Climate. We used C3IAM/Climate to calculate climate indicators such as global mean temperature changes and radiative forcing. Here the Climate module is developed according to the Beijing Climate Center Climate System Model (BCC_CSM), which is one of the earth system models that participated in CMIP5 simulations for the IPCC AR5 (see Figure 1 for the framework). The BCC_CSM has four component models, i.e., Global Atmosphere Model (BCC_AGCM2.1), Land Surface Model (BCC_AVIM1.0), Global Ocean Model (MOM4_L40v1) and Global Thermodynamic Sea Ice Model (SIS). These component models are inter-related and interacted with each other through fluxes of energy, momentum and water. The flux coupler was based on that of NCAR/CCSM2. The BCC_CSM is a fully coupled Climate–Carbon Cycle Model, including oceanic and terrestrial carbon cycle with dynamical vegetation. The atmospheric CO2 concentration and its temporal evolution can be well reproduced when forced by anthropogenic emissions of CO2. In addition to the long-term climate change simulations and projections, BCC_CSM has also been used for short-term climate predictions, as well as the Sub-seasonal to Seasonal (S2S) Prediction Project.
