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An Intermodel Approach to Identify the Source of Excessive Equatorial Pacific Cold Tongue in CMIP5 Models and Uncertainty in Observational Datasets

机译:一种识别CmIp5模型中过度赤道太平洋冷舌源的模型间方法及观测数据集的不确定性

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摘要

An excessive cold tongue error in the equatorial Pacific has prevailed in several generations of climate models. However, the causes of this problem remain a mystery, partly owing to uncertainty and/or a lack of observational datasets. Based on the multimodel ensemble from phase 5 of the Coupled Model Intercomparison Project (CMIP5), this study introduces a novel intermodel approach to identify the bias source by going beyond comparison with observational datasets. Intermodel statistics show that the excessive cold tongue bias could be traced back to a too strong oceanic dynamic cooling linked to a too shallow thermocline along the equatorial Pacific. A heat budget analysis suggests that the excessive oceanic dynamic cooling is balanced by the surface latent heat flux (LHF) adjustment. This is consistent with a variety of oceanic and atmospheric observations but at odds with the popular objectively analyzed air-sea heat fluxes (OAFlux) products. Further analyses suggest an alarming overestimation of OAFlux net surface heat flux (Q(net)) into the tropical Pacific, mainly ascribed to observational uncertainly in air specific humidity. Implications for intermodel statistics in assessing model processes, validating observational data, and regulating future climate projections are discussed.
机译:在几代气候模型中,赤道太平洋地区普遍存在过分的冷舌错误。但是,造成此问题的原因仍然是一个谜,部分原因是不确定性和/或缺乏观测数据集。基于耦合模型比较项目(CMIP5)第5阶段的多模型集合,本研究引入了一种新颖的模型间方法,通过与观察数据集的比较来识别偏差源。模型间的统计表明,过度的冷舌偏见可以追溯到太强的海洋动力冷却,这与沿赤道太平洋太浅的跃层有关。热预算分析表明,过度的海洋动态冷却受到表面潜热通量(LHF)调整的影响。这与各种海洋和大气观测结果是一致的,但与流行的客观分析的气海热通量(OAFlux)产品不一致。进一步的分析表明,进入热带太平洋的OAFlux净表面热通量(Q(net))的高估令人震惊,这主要归因于观测到的空气比湿的不确定性。讨论了模型间统计对评估模型过程,验证观测数据以及调节未来气候预测的意义。

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