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不断演变的一氧化碳而非海表温度导致全球气候模式收敛时间减少了十分之一。

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

作者信息

Zhang Yixiao, Bloch-Johnson Jonah, Romps David M, Abbot Dorian S

机构信息

Department of the Atmospheric and Oceanic Sciences Peking University Beijing China.

DNCAS-Climate University of Reading Reading UK.

出版信息

J Adv Model Earth Syst. 2021 Nov;13(11):e2021MS002505. doi: 10.1029/2021MS002505. Epub 2021 Oct 30.

DOI:10.1029/2021MS002505
PMID:34820055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8596447/
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 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 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.

摘要

全球气候模型(GCMs)的高计算成本是一个限制其在许多领域应用的问题。最近,一种逆气候建模(InvCM)方法已在云分辨模型中得以应用,该方法固定全球平均海表面温度(SST)并使混合比演化以平衡气候。在本文中,我们将InvCM应用于ExoCAM GCM水行星模拟,使SST模式在保持固定全球平均SST的同时演化。我们发现InvCM产生的气候与正常平板海洋模拟相同,但收敛速度快一个数量级。然后,我们使用InvCM以1K间隔计算290至340K范围内SST的平衡,并在更高的温度分辨率下重现了约315K的SST时气候敏感性的大幅增加。InvCM提供的加速可用于在更高空间分辨率下平衡GCMs或进行更广泛的参数空间探索,以便对气候系统获得新的见解。此外,InvCM可用于发现不稳定和隐藏的气候状态,以及找到接近诸如失控温室转变等分岔点的气候状态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/9fabb8b5d9a6/JAME-13-e2021MS002505-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/69855daac231/JAME-13-e2021MS002505-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/d83b1b9e7dd2/JAME-13-e2021MS002505-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/272706acc527/JAME-13-e2021MS002505-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/fd42bd4847fb/JAME-13-e2021MS002505-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/932f6306c000/JAME-13-e2021MS002505-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/1b2b0350ccb0/JAME-13-e2021MS002505-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/eb82d3236e9c/JAME-13-e2021MS002505-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/59d746dfed1d/JAME-13-e2021MS002505-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/9fabb8b5d9a6/JAME-13-e2021MS002505-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/69855daac231/JAME-13-e2021MS002505-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/d83b1b9e7dd2/JAME-13-e2021MS002505-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/272706acc527/JAME-13-e2021MS002505-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/fd42bd4847fb/JAME-13-e2021MS002505-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/932f6306c000/JAME-13-e2021MS002505-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/1b2b0350ccb0/JAME-13-e2021MS002505-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/eb82d3236e9c/JAME-13-e2021MS002505-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/59d746dfed1d/JAME-13-e2021MS002505-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/8596447/9fabb8b5d9a6/JAME-13-e2021MS002505-g009.jpg

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Nat Commun. 2016 Feb 9;7:10627. doi: 10.1038/ncomms10627.
2
Controls on the Archean climate system investigated with a global climate model.利用全球气候模型对太古宙气候系统进行的控制研究。
Astrobiology. 2014 Mar;14(3):241-53. doi: 10.1089/ast.2013.1112.
3
Increased insolation threshold for runaway greenhouse processes on Earth-like planets.地球类行星 runaway greenhouse processes 的日照阈值增加。
Nature. 2013 Dec 12;504(7479):268-71. doi: 10.1038/nature12827.
4
State-dependent climate sensitivity in past warm climates and its implications for future climate projections.过去暖期气候敏感性的状态依赖性及其对未来气候预估的影响。
Proc Natl Acad Sci U S A. 2013 Aug 27;110(35):14162-7. doi: 10.1073/pnas.1303365110. Epub 2013 Aug 5.
5
Hospitable archean climates simulated by a general circulation model.普遍环流模型模拟的宜居太古代气候。
Astrobiology. 2013 Jul;13(7):656-73. doi: 10.1089/ast.2012.0936. Epub 2013 Jun 29.
6
Runaway and moist greenhouse atmospheres and the evolution of Earth and Venus.失控与潮湿温室大气以及地球和金星的演化
Icarus. 1988;74:472-94. doi: 10.1016/0019-1035(88)90116-9.