Climate - REMIND-MAgPIE: Difference between revisions
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By default, REMIND is coupled with the MAGICC 6 climate model to translate emissions into changes in atmospheric composition, radiative forcing and temperature increase. Due to numerical complexity, after running REMIND we perform the evaluation of climate change using MAGICC. Iterative adjustment of emission constraints or carbon taxes allows meeting specific temperature or radiative forcing limits in case of mitigation scenarios (see Section “Policy”). | '''Note:''' This pages describes the REMIND 1.7 model. It will be updated shortly to describe the most recent version of REMIND-MAgPIE. | ||
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By default, REMIND-MAgPIE is coupled with the MAGICC 6 climate model to translate emissions into changes in atmospheric composition, radiative forcing and temperature increase. Due to numerical complexity, after running REMIND-MAgPIE we perform the evaluation of climate change using MAGICC. Iterative adjustment of emission constraints or carbon taxes allows meeting specific temperature or radiative forcing limits in case of mitigation scenarios (see Section “Policy”). | |||
In addition, REMIND includes a reduced-form climate model similar to the one used in DICE (Nordhaus and Boyer 2000) which can be used within the REMIND optimization to enable direct formulation of temperature or radiative forcing targets in climate mitigation scenarios. It comprises (1) an impulse-response function with three time scales for the carbon cycle, (2) an energy balance temperature model with a fast mixed layer, and (3) a slow deep ocean temperature box. Equations in the carbon-cycle temperature model describe concentration and radiative forcing that result from CH4, N2O, sulfate aerosols, black carbon, and organic carbon <ref>Tanaka K, Kriegler E (2007) Aggregated Carbon Cycle, Atmospheric Chemistry, and Climate Model (ACC2)</ref>. The climate module determines the atmospheric concentrations of CO2, CH4, and N2O and computes the resulting radiative forcing and mean temperature at the global level. Its key parameters are calibrated to reproduce MAGICC, with a climate sensitivity of around 3.0°C. | In addition, REMIND-MAgPIE includes a reduced-form climate model similar to the one used in DICE (Nordhaus and Boyer 2000) which can be used within the REMIND-MAgPIE optimization to enable direct formulation of temperature or radiative forcing targets in climate mitigation scenarios. It comprises (1) an impulse-response function with three time scales for the carbon cycle, (2) an energy balance temperature model with a fast mixed layer, and (3) a slow deep ocean temperature box. Equations in the carbon-cycle temperature model describe concentration and radiative forcing that result from CH4, N2O, sulfate aerosols, black carbon, and organic carbon <ref>Tanaka K, Kriegler E (2007) Aggregated Carbon Cycle, Atmospheric Chemistry, and Climate Model (ACC2)</ref>. The climate module determines the atmospheric concentrations of CO2, CH4, and N2O and computes the resulting radiative forcing and mean temperature at the global level. Its key parameters are calibrated to reproduce MAGICC, with a climate sensitivity of around 3.0°C. | ||
REMIND does not account for climate damages. | REMIND-MAgPIE does not account for climate damages. | ||
Latest revision as of 11:52, 11 May 2023
| Corresponding documentation | |
|---|---|
| Previous versions | |
| Model information | |
| Model link | |
| Institution | Potsdam Institut für Klimafolgenforschung (PIK), Germany, https://www.pik-potsdam.de. |
| Solution concept | General equilibrium (closed economy)MAgPIE: partial equilibrium model of the agricultural sector; |
| Solution method | OptimizationMAgPIE: cost minimization; |
| Anticipation | |
Note: This pages describes the REMIND 1.7 model. It will be updated shortly to describe the most recent version of REMIND-MAgPIE.
By default, REMIND-MAgPIE is coupled with the MAGICC 6 climate model to translate emissions into changes in atmospheric composition, radiative forcing and temperature increase. Due to numerical complexity, after running REMIND-MAgPIE we perform the evaluation of climate change using MAGICC. Iterative adjustment of emission constraints or carbon taxes allows meeting specific temperature or radiative forcing limits in case of mitigation scenarios (see Section “Policy”).
In addition, REMIND-MAgPIE includes a reduced-form climate model similar to the one used in DICE (Nordhaus and Boyer 2000) which can be used within the REMIND-MAgPIE optimization to enable direct formulation of temperature or radiative forcing targets in climate mitigation scenarios. It comprises (1) an impulse-response function with three time scales for the carbon cycle, (2) an energy balance temperature model with a fast mixed layer, and (3) a slow deep ocean temperature box. Equations in the carbon-cycle temperature model describe concentration and radiative forcing that result from CH4, N2O, sulfate aerosols, black carbon, and organic carbon [1]. The climate module determines the atmospheric concentrations of CO2, CH4, and N2O and computes the resulting radiative forcing and mean temperature at the global level. Its key parameters are calibrated to reproduce MAGICC, with a climate sensitivity of around 3.0°C.
REMIND-MAgPIE does not account for climate damages.
- ↑ Tanaka K, Kriegler E (2007) Aggregated Carbon Cycle, Atmospheric Chemistry, and Climate Model (ACC2)