Climate - REMIND-MAgPIE - Revision history

Mathijs Harmsen at 10:52, 11 May 2023

2023-05-11T10:52:18Z

← Older revision		Revision as of 12:52, 11 May 2023
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			'''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”).		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”).

Rineke Oostenrijk: Text replacement - "REMIND" to "REMIND-MAgPIE"

2021-11-21T13:34:22Z

Text replacement - "REMIND" to "REMIND-MAgPIE"

← Older revision		Revision as of 15:34, 21 November 2021
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	{{ModelDocumentationTemplate		{{ModelDocumentationTemplate
	\|IsEmpty=No		\|IsEmpty=No
	\|IsDocumentationOf=REMIND		\|IsDocumentationOf=REMIND-MAgPIE
	\|DocumentationCategory=Climate		\|DocumentationCategory=Climate
	}}		}}
	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”).		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.

Mathijs Harmsen: Mathijs Harmsen moved page Climate - REMIND to Climate - REMIND-MAgPIE without leaving a redirect: Text replacement - "REMIND" to "REMIND-MAgPIE"

2021-11-18T12:14:03Z

Mathijs Harmsen moved page Climate - REMIND to Climate - REMIND-MAgPIE without leaving a redirect: Text replacement - "REMIND" to "REMIND-MAgPIE"

← Older revision

Revision as of 14:14, 18 November 2021

Laura Delsa at 14:11, 3 February 2017

2017-02-03T14:11:43Z

← Older revision		Revision as of 16:11, 3 February 2017
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	REMIND does not account for climate damages.		REMIND does not account for climate damages.

















































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Laura Delsa at 14:00, 3 February 2017

2017-02-03T14:00:42Z

← Older revision		Revision as of 16:00, 3 February 2017
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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”).		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”).

	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 (Tanaka ~~and~~ Kriegler 2007). 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 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.

	REMIND does not account for climate damages.		REMIND does not account for climate damages.

Laura Delsa at 15:57, 19 January 2017

2017-01-19T15:57:01Z

← Older revision		Revision as of 17:57, 19 January 2017
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	\|DocumentationCategory=Climate		\|DocumentationCategory=Climate
	}}		}}
	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”.		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”).

	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 (Tanaka and Kriegler 2007). 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 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 (Tanaka and Kriegler 2007). 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 does not account for climate damages.

Laura Delsa at 22:20, 20 November 2016

2016-11-20T22:20:49Z

← Older revision		Revision as of 00:20, 21 November 2016
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	{{ModelDocumentationTemplate		{{ModelDocumentationTemplate
			\|IsEmpty=No
	\|IsDocumentationOf=REMIND		\|IsDocumentationOf=REMIND
	\|DocumentationCategory=Climate		\|DocumentationCategory=Climate
	}}		}}
			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”.

			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 (Tanaka and Kriegler 2007). 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.

Rineke Oostenrijk: 1 revision imported

2016-08-17T09:58:01Z

1 revision imported

← Older revision

Revision as of 11:58, 17 August 2016

Rineke Oostenrijk: Edited automatically from page REMIND setup.

2016-08-16T12:18:46Z

Edited automatically from page REMIND setup.

New page

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