Climate - IMAGE - Revision history

Rineke Oostenrijk at 09:36, 27 May 2020

2020-05-27T09:36:30Z

← Older revision		Revision as of 11:36, 27 May 2020
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	{{ModelDocumentationTemplate		{{ModelDocumentationTemplate
	\|IsDocumentationOf=IMAGE		\|IsDocumentationOf=IMAGE
	~~\|HasLevel=1~~
	~~\|HasSeq=7~~
	\|IsEmpty=No		\|IsEmpty=No
	~~\|HasParent=Model Documentation_-_IMAGE~~
	\|DocumentationCategory=Climate		\|DocumentationCategory=Climate
	}}		}}

Oreane Edelenbosch at 10:55, 13 January 2017

2017-01-13T10:55:12Z

← Older revision		Revision as of 12:55, 13 January 2017
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	The analysis of climate impacts and feedbacks requires location-specific temperature and precipitation changes. Thus, a pattern scaling technique is applied in IMAGE by combining MAGICC results with maps on climate change from the same AOGCMs assessed in AR4 [[CiteRef::IMG_IPCC_2007]] and used for calibrating MAGICC. The consistent combination of AOGCM-specific parameter settings for MAGICC and matching geographical patterns of climate change make the dynamic results from IMAGE physically more consistent, and extend the range of uncertainties that can be covered to include future climate change.		The analysis of climate impacts and feedbacks requires location-specific temperature and precipitation changes. Thus, a pattern scaling technique is applied in IMAGE by combining MAGICC results with maps on climate change from the same AOGCMs assessed in AR4 [[CiteRef::IMG_IPCC_2007]] and used for calibrating MAGICC. The consistent combination of AOGCM-specific parameter settings for MAGICC and matching geographical patterns of climate change make the dynamic results from IMAGE physically more consistent, and extend the range of uncertainties that can be covered to include future climate change.

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Oreane Edelenbosch: /* Climate model */

2017-01-12T15:38:32Z

Climate model

← Older revision		Revision as of 17:38, 12 January 2017
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	}}		}}

	==Climate model==		==Climate model MAGICC==

	IMAGE uses the simple climate model MAGICC 6.0 [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]], which was developed by developed by the MAGICC 6 group ([http://wiki.magicc.org/index.php?title=MAGICC_team\|see link]) to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC calculates atmospheric CO<sub>2</sub> concentration based on CO<sub>2</sub> emission data for energy, industry and land-use change; terrestrial carbon balance; and carbon uptake by the oceans (calculated in MAGICC on the basis of the Bern Ocean Carbon model).		IMAGE uses the simple climate model MAGICC 6.0 [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]], which was developed by developed by the MAGICC 6 group ([http://wiki.magicc.org/index.php?title=MAGICC_team\|see link]) to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC calculates atmospheric CO<sub>2</sub> concentration based on CO<sub>2</sub> emission data for energy, industry and land-use change; terrestrial carbon balance; and carbon uptake by the oceans (calculated in MAGICC on the basis of the Bern Ocean Carbon model).

Oreane Edelenbosch at 15:37, 12 January 2017

2017-01-12T15:37:30Z

← Older revision		Revision as of 17:37, 12 January 2017
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	==Climate model==		==Climate model==
	~~The~~ climate model ~~used in the IMAGE model framework (based on~~ MAGICC 6, [[CiteRef::IMG_Meinshausen_2011a]], developed by the MAGICC 6 group [http://wiki.magicc.org/index.php?title=MAGICC_team\|see link]) calculates atmospheric CO<sub>2</sub> concentration based on CO<sub>2</sub> emission data for energy, industry and land-use change; terrestrial carbon balance; and carbon uptake by the oceans (calculated in MAGICC on the basis of the Bern Ocean Carbon model).
			IMAGE uses the simple climate model MAGICC 6.0 [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]], which was developed by developed by the MAGICC 6 group ([http://wiki.magicc.org/index.php?title=MAGICC_team\|see link]) to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC calculates atmospheric CO<sub>2</sub> concentration based on CO<sub>2</sub> emission data for energy, industry and land-use change; terrestrial carbon balance; and carbon uptake by the oceans (calculated in MAGICC on the basis of the Bern Ocean Carbon model).

	Concentrations of other long-lived greenhouse gases (CH<sub>4</sub>, N<sub>2</sub>O, and halocarbons), and tropospheric ozone (O<sub>3</sub>) precursors (CO, NMVOC) are calculated by MAGICC in a simple atmospheric chemistry module. Halocarbons and N<sub>2</sub>O concentrations mostly show a simple mass-concentration conversion and half-life behaviour. CH<sub>4</sub> and ozone dynamics are more complex, with CH<sub>4</sub> lifetime depending on the OH concentration level, and O<sub>3</sub> and OH concentration levels depending on CH<sub>4</sub> concentrations, and NO<sub>X</sub>, CO and NMVOC emissions [[CiteRef::IMG_Meinshausen_2011b]].		Concentrations of other long-lived greenhouse gases (CH<sub>4</sub>, N<sub>2</sub>O, and halocarbons), and tropospheric ozone (O<sub>3</sub>) precursors (CO, NMVOC) are calculated by MAGICC in a simple atmospheric chemistry module. Halocarbons and N<sub>2</sub>O concentrations mostly show a simple mass-concentration conversion and half-life behaviour. CH<sub>4</sub> and ozone dynamics are more complex, with CH<sub>4</sub> lifetime depending on the OH concentration level, and O<sub>3</sub> and OH concentration levels depending on CH<sub>4</sub> concentrations, and NO<sub>X</sub>, CO and NMVOC emissions [[CiteRef::IMG_Meinshausen_2011b]].

	IMAGE uses the simple climate model MAGICC 6.0 [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]] to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC was used extensively in the Third, Fourth, and Fifth assessment reports of IPCC (Intergovernmental Panel on Climate Change) in assessing a range of greenhouse gas concentration scenarios. Since publication of these reports, MAGICC has been updated in line with results from Atmosphere-Ocean General Circulation Models (AOGCMs).		MAGICC was used extensively in the Third, Fourth, and Fifth assessment reports of IPCC (Intergovernmental Panel on Climate Change) in assessing a range of greenhouse gas concentration scenarios. Since publication of these reports, MAGICC has been updated in line with results from Atmosphere-Ocean General Circulation Models (AOGCMs).

	There is still considerable uncertainty in climate change simulations, as illustrated by differences in results from various AOGCMs, in terms of mean global temperature, and even more so in geographical patterns of surface temperature and precipitation. By adjusting the values of a few of the model parameters, MAGICC 6.0 can reproduce timedependent responses of AOGCMs [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]]. This allows IMAGE to reflect the uncertainty in AOGCM results, and to provide plausible projections of future climate-change feedbacks and impacts.		There is still considerable uncertainty in climate change simulations, as illustrated by differences in results from various AOGCMs, in terms of mean global temperature, and even more so in geographical patterns of surface temperature and precipitation. By adjusting the values of a few of the model parameters, MAGICC 6.0 can reproduce timedependent responses of AOGCMs [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]]. This allows IMAGE to reflect the uncertainty in AOGCM results, and to provide plausible projections of future climate-change feedbacks and impacts.

	The analysis of climate impacts and feedbacks requires location-specific temperature and precipitation changes. Thus, a pattern scaling technique is applied in IMAGE by combining MAGICC results with maps on climate change from the same AOGCMs assessed in AR4 [[CiteRef::IMG_IPCC_2007]] and used for calibrating MAGICC. The consistent combination of AOGCM-specific parameter settings for MAGICC and matching geographical patterns of climate change make the dynamic results from IMAGE physically more consistent, and extend the range of uncertainties that can be covered to include future climate change.		The analysis of climate impacts and feedbacks requires location-specific temperature and precipitation changes. Thus, a pattern scaling technique is applied in IMAGE by combining MAGICC results with maps on climate change from the same AOGCMs assessed in AR4 [[CiteRef::IMG_IPCC_2007]] and used for calibrating MAGICC. The consistent combination of AOGCM-specific parameter settings for MAGICC and matching geographical patterns of climate change make the dynamic results from IMAGE physically more consistent, and extend the range of uncertainties that can be covered to include future climate change.

Oreane Edelenbosch at 15:34, 12 January 2017

2017-01-12T15:34:02Z

← Older revision		Revision as of 17:34, 12 January 2017
Line 7:		Line 7:
	\|DocumentationCategory=Climate		\|DocumentationCategory=Climate
	}}		}}

			==Climate model==
			The climate model used in the IMAGE model framework (based on MAGICC 6, [[CiteRef::IMG_Meinshausen_2011a]], developed by the MAGICC 6 group [http://wiki.magicc.org/index.php?title=MAGICC_team\|see link]) calculates atmospheric CO<sub>2</sub> concentration based on CO<sub>2</sub> emission data for energy, industry and land-use change; terrestrial carbon balance; and carbon uptake by the oceans (calculated in MAGICC on the basis of the Bern Ocean Carbon model).

			Concentrations of other long-lived greenhouse gases (CH<sub>4</sub>, N<sub>2</sub>O, and halocarbons), and tropospheric ozone (O<sub>3</sub>) precursors (CO, NMVOC) are calculated by MAGICC in a simple atmospheric chemistry module. Halocarbons and N<sub>2</sub>O concentrations mostly show a simple mass-concentration conversion and half-life behaviour. CH<sub>4</sub> and ozone dynamics are more complex, with CH<sub>4</sub> lifetime depending on the OH concentration level, and O<sub>3</sub> and OH concentration levels depending on CH<sub>4</sub> concentrations, and NO<sub>X</sub>, CO and NMVOC emissions [[CiteRef::IMG_Meinshausen_2011b]].

	IMAGE uses the simple climate model MAGICC 6.0 [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]] to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC was used extensively in the Third, Fourth, and Fifth assessment reports of IPCC (Intergovernmental Panel on Climate Change) in assessing a range of greenhouse gas concentration scenarios. Since publication of these reports, MAGICC has been updated in line with results from Atmosphere-Ocean General Circulation Models (AOGCMs).		IMAGE uses the simple climate model MAGICC 6.0 [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]] to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC was used extensively in the Third, Fourth, and Fifth assessment reports of IPCC (Intergovernmental Panel on Climate Change) in assessing a range of greenhouse gas concentration scenarios. Since publication of these reports, MAGICC has been updated in line with results from Atmosphere-Ocean General Circulation Models (AOGCMs).

Harmen Sytze de Boer at 06:43, 9 August 2016

2016-08-09T06:43:53Z

← Older revision		Revision as of 08:43, 9 August 2016
Line 7:		Line 7:
	\|DocumentationCategory=Climate		\|DocumentationCategory=Climate
	}}		}}
	IMAGE uses the simple climate model MAGICC 6.0 ([[~~References - IMAGE\|Meinshausen et al., 2011a; Meinshausen et al., 2011b~~]]) to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC was used extensively in the Third, Fourth, and Fifth assessment reports of IPCC (Intergovernmental Panel on Climate Change) in assessing a range of greenhouse gas concentration scenarios. Since publication of these reports, MAGICC has been updated in line with results from Atmosphere-Ocean General Circulation Models (AOGCMs).		IMAGE uses the simple climate model MAGICC 6.0 [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]] to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC was used extensively in the Third, Fourth, and Fifth assessment reports of IPCC (Intergovernmental Panel on Climate Change) in assessing a range of greenhouse gas concentration scenarios. Since publication of these reports, MAGICC has been updated in line with results from Atmosphere-Ocean General Circulation Models (AOGCMs).

	There is still considerable uncertainty in climate change simulations, as illustrated by differences in results from various AOGCMs, in terms of mean global temperature, and even more so in geographical patterns of surface temperature and precipitation. By adjusting the values of a few of the model parameters, MAGICC 6.0 can reproduce timedependent responses of AOGCMs ([[~~References - IMAGE\|Meinshausen et al., 2011a; Meinshausen et al., 2011b~~]]). This allows IMAGE to reflect the uncertainty in AOGCM results, and to provide plausible projections of future climate-change feedbacks and impacts.		There is still considerable uncertainty in climate change simulations, as illustrated by differences in results from various AOGCMs, in terms of mean global temperature, and even more so in geographical patterns of surface temperature and precipitation. By adjusting the values of a few of the model parameters, MAGICC 6.0 can reproduce timedependent responses of AOGCMs [[CiteRef::IMG_Meinshausen_2011a]][[CiteRef::IMG_Meinshausen_2011b]]. This allows IMAGE to reflect the uncertainty in AOGCM results, and to provide plausible projections of future climate-change feedbacks and impacts.

	The analysis of climate impacts and feedbacks requires location-specific temperature and precipitation changes. Thus, a pattern scaling technique is applied in IMAGE by combining MAGICC results with maps on climate change from the same AOGCMs assessed in AR4 ([[~~References - IMAGE\|IPCC, 2007~~]]) and used for calibrating MAGICC. The consistent combination of AOGCM-specific parameter settings for MAGICC and matching geographical patterns of climate change make the dynamic results from IMAGE physically more consistent, and extend the range of uncertainties that can be covered to include future climate change.		The analysis of climate impacts and feedbacks requires location-specific temperature and precipitation changes. Thus, a pattern scaling technique is applied in IMAGE by combining MAGICC results with maps on climate change from the same AOGCMs assessed in AR4 [[CiteRef::IMG_IPCC_2007]] and used for calibrating MAGICC. The consistent combination of AOGCM-specific parameter settings for MAGICC and matching geographical patterns of climate change make the dynamic results from IMAGE physically more consistent, and extend the range of uncertainties that can be covered to include future climate change.

	''This Wiki covers the summer 2014 version of the IMAGE model. A dedicated description can be found on the [http://themasites.pbl.nl/models/image/index.php/Atmospheric_composition_and_climate IMAGE 3.0 webpage].''

Rineke Oostenrijk: 1 revision imported

2016-08-05T18:33:50Z

1 revision imported

← Older revision

Revision as of 20:33, 5 August 2016

Rineke Oostenrijk at 17:04, 5 August 2016

2016-08-05T17:04:31Z

New page

{{ModelDocumentationTemplate
|IsDocumentationOf=IMAGE
|HasLevel=1
|HasSeq=7
|IsEmpty=No
|HasParent=Model Documentation_-_IMAGE
|DocumentationCategory=Climate
}}
IMAGE uses the simple climate model MAGICC 6.0 ([[References - IMAGE|Meinshausen et al., 2011a; Meinshausen et al., 2011b]]) to simulate the effects of changing greenhouse gas emissions on atmospheric composition, radiative forcing and global mean temperature. MAGICC was used extensively in the Third, Fourth, and Fifth assessment reports of IPCC (Intergovernmental Panel on Climate Change) in assessing a range of greenhouse gas concentration scenarios. Since publication of these reports, MAGICC has been updated in line with results from Atmosphere-Ocean General Circulation Models (AOGCMs).

There is still considerable uncertainty in climate change simulations, as illustrated by differences in results from various AOGCMs, in terms of mean global temperature, and even more so in geographical patterns of surface temperature and precipitation. By adjusting the values of a few of the model parameters, MAGICC 6.0 can reproduce timedependent responses of AOGCMs ([[References - IMAGE|Meinshausen et al., 2011a; Meinshausen et al., 2011b]]). This allows IMAGE to reflect the uncertainty in AOGCM results, and to provide plausible projections of future climate-change feedbacks and impacts.

The analysis of climate impacts and feedbacks requires location-specific temperature and precipitation changes. Thus, a pattern scaling technique is applied in IMAGE by combining MAGICC results with maps on climate change from the same AOGCMs assessed in AR4 ([[References - IMAGE|IPCC, 2007]]) and used for calibrating MAGICC. The consistent combination of AOGCM-specific parameter settings for MAGICC and matching geographical patterns of climate change make the dynamic results from IMAGE physically more consistent, and extend the range of uncertainties that can be covered to include future climate change.

''This Wiki covers the summer 2014 version of the IMAGE model. A dedicated description can be found on the [http://themasites.pbl.nl/models/image/index.php/Atmospheric_composition_and_climate IMAGE 3.0 webpage].''