CMIP - Revision history

CamRichon at 10:35, 24 March 2026

2026-03-24T10:35:06Z

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	* [[Page authors\|Page authors]]: [[CamRichon]]		* [[Page authors\|Page authors]]: [[User:CamRichon\|Camille Richon]]
	* [[Responsible curator\|Responsible curator]]: [[~~User:~~]]		* [[Responsible curator\|Responsible curator]]: [[]]
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CamRichon at 14:38, 12 February 2026

2026-02-12T14:38:17Z

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	== Model overview ==		== Model overview ==
	The Coupled Model Intercomparison Project (CMIP) is a global effort from the international research community using Earth System Models (ESMs) to simulate the impacts of global greenhouse gases (GHGs) emissions on the planetary climate system. This effort gathers results from multiple models developped by different international research groups and compares simulation results in order to estimate the range of variability in the global climate system and its potential response to various natural and anthropogenic GHG forcings.		The Coupled Model Intercomparison Project (CMIP) is a global effort from the international research community using Earth System Models (ESMs) to simulate the impacts of global greenhouse gases (GHGs) emissions on the planetary climate system. This effort gathers results from multiple models developped by different international research groups and compares simulation results in order to estimate the range of variability in the global climate system and its potential response to various natural and anthropogenic GHG forcings<ref>Meehl, G. A., G. J. Boer, C. Covey, M. Latif, and R. J. Stouffer (1997), Intercomparison makes for a better climate model, Eos Trans. AGU, 78(41), 445–451, doi:10.1029/97EO00276. </ref>.

	In order to allow an effective assessment of scientific results, common simulation setups are chosen for all models participating in CMIP exercises. All the ESMs contributing to CMIP simulate the global climate response to common GHG forcings and scenarios. Since the first phase of CMIP (CMIP1), various scenarios for GHG emissions have been developped and many models and research groups have joined the effort. From 18 global coupled models in CMIP1 simulating a single scenario of 1%/year increase in CO2 global emissions, there are now over 30 research groups involved, simulating multiple climate forcing parameter changes.		In order to allow an effective assessment of scientific results, common simulation setups are chosen for all models participating in CMIP exercises. All the ESMs contributing to CMIP simulate the global climate response to common GHG forcings and scenarios. Since the first phase of CMIP (CMIP1), various scenarios for GHG emissions have been developped and many models and research groups have joined the effort. From 18 global coupled models in CMIP1 simulating a single scenario of 1%/year increase in CO2 global emissions, there are now over 30 research groups involved, simulating multiple climate forcing parameter changes.

CamRichon at 14:35, 12 February 2026

2026-02-12T14:35:58Z

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	=== Classic examples ===		=== Classic examples ===
			Beyond CMIP, each component of ESMs (ocean, atmosphere, ice...) has had an intercomparison exercise (AeroMIP, OMIP....).

	=== Recent applications ===		=== Recent applications ===

	== Limitations ==		== Limitations ==
			The increased complexity of models associated with higher resolution and the number of simulations required for CMIP exercises leads to a significant increase in computing and data storage requirements.

	== References ==		== References ==

	[[Category:Main Pages\|Model types]]		[[Category:Main Pages\|Model types]]

CamRichon at 14:31, 12 February 2026

2026-02-12T14:31:45Z

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	* [[Page authors\|Page authors]]: [[CamRichon]~~\|Camille Richon~~]		* [[Page authors\|Page authors]]: [[CamRichon]]
	* [[Responsible curator\|Responsible curator]]: [[User:]]		* [[Responsible curator\|Responsible curator]]: [[User:]]
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CamRichon at 14:30, 12 February 2026

2026-02-12T14:30:56Z

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	* [[Page authors\|Page authors]]: [[~~User:~~]]		* [[Page authors\|Page authors]]: [[CamRichon]\|Camille Richon]
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	! Model type		! Model type
	\|-		\|-
	\| '''Approach:''' ~~Statistical,~~ Mechanistic ~~optimized, or Mechanistic time-dependent~~		\| '''Approach:''' Mechanistic
	\|-		\|-
	\| '''Computational demand:''' ~~Local or~~ HPC		\| '''Computational demand:''' HPC
	\|-		\|-
	\| '''Spatial resolution:''' grid: ~~e.g. um~~, L, ~~ocean basin;~~ domain:		\| '''Spatial resolution:''' grid: 2°, 1° since CMIP6, domain: global
	\|-		\|-
	\| '''Temporal resolution:''' time step: ~~e.g.~~ s~~, h, day, steady-state~~; output:		\| '''Temporal resolution:''' time step: model dependent, usually s to hours ; output: yearly to monthly
	\|}		\|}
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	== Model overview ==		== Model overview ==
			The Coupled Model Intercomparison Project (CMIP) is a global effort from the international research community using Earth System Models (ESMs) to simulate the impacts of global greenhouse gases (GHGs) emissions on the planetary climate system. This effort gathers results from multiple models developped by different international research groups and compares simulation results in order to estimate the range of variability in the global climate system and its potential response to various natural and anthropogenic GHG forcings.

			In order to allow an effective assessment of scientific results, common simulation setups are chosen for all models participating in CMIP exercises. All the ESMs contributing to CMIP simulate the global climate response to common GHG forcings and scenarios. Since the first phase of CMIP (CMIP1), various scenarios for GHG emissions have been developped and many models and research groups have joined the effort. From 18 global coupled models in CMIP1 simulating a single scenario of 1%/year increase in CO2 global emissions, there are now over 30 research groups involved, simulating multiple climate forcing parameter changes.

	== Scales of interest ==		== Scales of interest ==
			CMIP excercises typically simulate the Earth climate at the global scale. Regional analyses are also included. The temporal scales are typically interannual to decadal to centennial.

	== Data inputs ==		== Data inputs ==
			Since CMIP6, the common datasets for forcing the models include:
			* Historical Short-Lived Climate Forcers (SLCF) and greenhouse gas (CO2 and CH4) Emissions
			* Biomass Burning Emissions
			* Global Gridded Land-use Forcing Datasets
			* Historical greenhouse gases concentrations: a full description is published via the CMIP6 Special Issue publication (https://gmd.copernicus.org/articles/special_issue590.html)
			* Ozone Concentrations and Nitrogen (N)-Deposition <ref> Checa-Garcia, R., Hegglin, M. I., Kinnison, D., Plummer, D. A., & Shine, K. P. (2018). Historical tropospheric and stratospheric ozone radiative forcing using the CMIP6 database. Geophysical Research Letters, 45, 3264–3273. https://doi.org/10.1002/2017GL076770</ref>
			* Aerosol Optical Properties and Relative Change in Cloud Droplet Number Concentration <ref>Stevens, B., Fiedler, S., Kinne, S., Peters, K., Rast, S., Müsse, J., Smith, S. J., and Mauritsen, T.: MACv2-SP: a parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6, Geosci. Model Dev., 10, 433–452, https://doi.org/10.5194/gmd-10-433-2017, 2017 </ref>
			* Solar Forcing <ref> Matthes, K.; Funke, B.; Andersson, M. E.; Barnard, L.; Beer, J.; Charbonneau, P.; Clilverd, M. A.; Dudok de Wit, T.; Haberreiter, M. (2017-06-22). "Solar forcing for CMIP6 (v3.2)". Geosci. Model Dev. 10 (6): 2247–2302</ref>
			* Stratospheric Aerosol Data Set
			* AMIP Sea Surface Temperature and Sea Ice Datasets
			* Shared Socioeconomic Pathways (SSPs) for simulating future trends in GHG emissions <ref>O'Neill, B. C.; Tebaldi, C.; van Vuuren, D. P.; Eyring, V.; Friedlingstein, P.; Hurtt, G.; Knutti, R.; Kriegler, E.; Lamarque, J.-F. (2016-09-28). "The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6". Geosci. Model Dev. 9 (9): 3461–3482 </ref>

	== Example Studies & Code ==		== Example Studies & Code ==

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2026-01-09T01:34:44Z

Created page with "{{BreadcrumbsGlobal}} * Page authors: [[User:]] * Responsible curator: [[User:]] ---- __TOC__ <div class="model-box"> {| class="model-ib" ! Model type |- | '''Approach:''' Statistical, Mechanistic optimized, or Mechanistic time-dependent |- | '''Computational demand:''' Local or HPC |- | '''Spatial resolution:''' grid: e.g. um, L, ocean basin; domain: |- | '''Temporal resolution:''' time step: e.g. s, h, day, steady-state; outpu..."

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{| class="model-ib"
! Model type
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| '''Approach:''' Statistical, Mechanistic optimized, or Mechanistic time-dependent
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| '''Computational demand:''' Local or HPC
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| '''Spatial resolution:''' grid: e.g. um, L, ocean basin; domain:
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| '''Temporal resolution:''' time step: e.g. s, h, day, steady-state; output:
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== Model overview ==

== Scales of interest ==

== Data inputs ==

== Example Studies & Code ==

=== Classic examples ===

=== Recent applications ===

== Limitations ==

== References ==

[[Category:Main Pages|Model types]]