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Obtaining diverse behaviors in a climate model without the use of flux adjustments

机译:在不使用通量调整的情况下在气候模型中获得不同的行为

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摘要

A number of studies have set out to obtain a range of atmosphere and ocean model behavior by perturbing parameters in a single climate model (perturbed physics ensemble: PPE). Early studies used shallow layer slab ocean or flux-adjusted coupled ocean-atmosphere models to obtain a broad range of behavior as characterized by climate sensitivity. A recent study reports a relatively narrow range of sensitivities (2.2–3.2°C) in a PPE of 35 coupled models without flux adjustment, raising the question whether previous broad ranges were an artifact of the use of models that were not in top-of-atmosphere (TOA) energy balance. Moreover, no PPE experiment has reported a large spread of behavior of the ocean compared to that exhibited in a multi-model ensemble (MME) such as Coupled Model Intercomparison Project phase 3 (CMIP3). In this work, we randomly perturb model parameters of a coupled ocean-atmosphere general circulation model using a space-filling design containing 10,000 combinations. The ensemble is run over the distributed computing platform of climateprediction.net under fixed pre-industrial forcing without flux adjustment. We resample a second, 20,000-member, ensemble with perturbations conditioned on the TOA fluxes from the first ensemble to not drift significantly from a realistic base state while targeting a range of behavior. Models within the targeted ensemble show realistic regional control climates when compared to the CMIP3 ensemble, although there is a bias in global mean surface temperature. The range of predicted equilibrium climate sensitivities of the targeted ensemble is substantially smaller than that obtained with flux adjustment, but larger than the range in the CMIP3 ensemble or in the 35-model un-flux-adjusted PPE in a recent study mentioned above. The Atlantic meridional overturning circulation in the targeted ensemble exhibits a spread in strength as wide as that found in the CMIP3 ensemble. We conclude that flux adjustment is not a pre-requisite for obtaining a broad spread of behavior in a perturbed physics ensemble.
机译:通过扰动单个气候模型中的参数(扰动物理学系:PPE),已经获得了许多研究来获得一定范围的大气和海洋模型行为。早期研究使用浅层平板海洋或通量调整的耦合海洋-大气模型来获得以气候敏感性为特征的广泛行为。最近的一项研究报告说,在35个耦合模型的PPE中,在没有进行通量调整的情况下,灵敏度范围相对较窄(2.2–3.2°C),这引发了一个问题,即以前的宽泛范围是否是使用不在最上层模型的假象-大气(TOA)能量平衡。此外,与多模型合奏(MME)(如耦合模型比较项目第3阶段(CMIP3))相比,没有任何PPE实验报告过海洋行为的广泛传播。在这项工作中,我们使用包含10,000个组合的空间填充设计,随机扰动海洋-大气耦合环流模型的模型参数。该集合在固定的工业前强制下,在不进行通量调整的情况下,在climateprediction.net的分布式计算平台上运行。我们对第二个20,000成员的集合进行重新采样,其扰动的条件是第一集合的TOA通量不会偏离实际的基本状态,同时针对一系列行为。与CMIP3集成相比,目标集成中的模型显示了实际的区域控制气候,尽管全球平均表面温度存在偏差。目标集合的预计平衡气候敏感度范围明显小于通过流量调整获得的平衡气候敏感度范围,但大于上述最新研究中CMIP3集合或35模型未调整流量的PPE中的范围。目标组合中的大西洋子午翻转翻转环流的强度分布与CMIP3组合中的分布一样宽。我们得出结论,在扰动的物理合奏中,通量调节不是获得行为广泛传播的先决条件。

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