Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time

Abstract The high computational cost of Global Climate Models (GCMs) is a problem that limits their use in many areas. Recently an inverse climate modeling (InvCM) method, which fixes the global mean sea surface temperature (SST) and evolves the CO2 mixing ratio to equilibrate climate, has been impl...

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Autores principales:	Yixiao Zhang, Jonah Bloch‐Johnson, David M. Romps, Dorian S. Abbot
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2021
Materias:	planetary atmospheres climate dynamics global climate models Physical geography GB3-5030 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/465941a01d20499dabd8116775b0d541
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spelling	oai:doaj.org-article:465941a01d20499dabd8116775b0d5412021-11-30T08:40:32ZEvolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time1942-246610.1029/2021MS002505https://doaj.org/article/465941a01d20499dabd8116775b0d5412021-11-01T00:00:00Zhttps://doi.org/10.1029/2021MS002505https://doaj.org/toc/1942-2466Abstract The high computational cost of Global Climate Models (GCMs) is a problem that limits their use in many areas. Recently an inverse climate modeling (InvCM) method, which fixes the global mean sea surface temperature (SST) and evolves the CO2 mixing ratio to equilibrate climate, has been implemented in a cloud‐resolving model. In this article, we apply InvCM to ExoCAM GCM aquaplanet simulations, allowing the SST pattern to evolve while maintaining a fixed global‐mean SST. We find that InvCM produces the same climate as normal slab‐ocean simulations but converges an order of magnitude faster. We then use InvCM to calculate the equilibrium CO2 for SSTs ranging from 290 to 340 K at 1 K intervals and reproduce the large increase in climate sensitivity at an SST of about 315 K at much higher temperature resolution. The speedup provided by InvCM could be used to equilibrate GCMs at higher spatial resolution or to perform broader parameter space exploration in order to gain new insight into the climate system. Additionally, InvCM could be used to find unstable and hidden climate states, and to find climate states close to bifurcations such as the runaway greenhouse transition.Yixiao ZhangJonah Bloch‐JohnsonDavid M. RompsDorian S. AbbotAmerican Geophysical Union (AGU)articleplanetary atmospheresclimate dynamicsglobal climate modelsPhysical geographyGB3-5030OceanographyGC1-1581ENJournal of Advances in Modeling Earth Systems, Vol 13, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	planetary atmospheres climate dynamics global climate models Physical geography GB3-5030 Oceanography GC1-1581
spellingShingle	planetary atmospheres climate dynamics global climate models Physical geography GB3-5030 Oceanography GC1-1581 Yixiao Zhang Jonah Bloch‐Johnson David M. Romps Dorian S. Abbot Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time
description	Abstract The high computational cost of Global Climate Models (GCMs) is a problem that limits their use in many areas. Recently an inverse climate modeling (InvCM) method, which fixes the global mean sea surface temperature (SST) and evolves the CO2 mixing ratio to equilibrate climate, has been implemented in a cloud‐resolving model. In this article, we apply InvCM to ExoCAM GCM aquaplanet simulations, allowing the SST pattern to evolve while maintaining a fixed global‐mean SST. We find that InvCM produces the same climate as normal slab‐ocean simulations but converges an order of magnitude faster. We then use InvCM to calculate the equilibrium CO2 for SSTs ranging from 290 to 340 K at 1 K intervals and reproduce the large increase in climate sensitivity at an SST of about 315 K at much higher temperature resolution. The speedup provided by InvCM could be used to equilibrate GCMs at higher spatial resolution or to perform broader parameter space exploration in order to gain new insight into the climate system. Additionally, InvCM could be used to find unstable and hidden climate states, and to find climate states close to bifurcations such as the runaway greenhouse transition.
format	article
author	Yixiao Zhang Jonah Bloch‐Johnson David M. Romps Dorian S. Abbot
author_facet	Yixiao Zhang Jonah Bloch‐Johnson David M. Romps Dorian S. Abbot
author_sort	Yixiao Zhang
title	Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time
title_short	Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time
title_full	Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time
title_fullStr	Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time
title_full_unstemmed	Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time
title_sort	evolving co2 rather than sst leads to a factor of ten decrease in gcm convergence time
publisher	American Geophysical Union (AGU)
publishDate	2021
url	https://doaj.org/article/465941a01d20499dabd8116775b0d541
work_keys_str_mv	AT yixiaozhang evolvingco2ratherthansstleadstoafactoroftendecreaseingcmconvergencetime AT jonahblochjohnson evolvingco2ratherthansstleadstoafactoroftendecreaseingcmconvergencetime AT davidmromps evolvingco2ratherthansstleadstoafactoroftendecreaseingcmconvergencetime AT doriansabbot evolvingco2ratherthansstleadstoafactoroftendecreaseingcmconvergencetime
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Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time

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