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Critical Southern Ocean climate model biases traced to atmospheric model cloud errors

机译:严重的南方海洋气候模型偏差可追溯到大气模型云误差

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摘要

The Southern Ocean is a pivotal component of the global climate system yet it is poorly represented in climate models, with significant biases in upper-ocean temperatures, clouds and winds. Combining Atmospheric and Coupled Model Inter-comparison Project (AMIP5/CMIP5) simulations, with observations and equilibrium heat budget theory, we show that across the CMIP5 ensemble variations in sea surface temperature biases in the 40–60°S Southern Ocean are primarily caused by AMIP5 atmospheric model net surface flux bias variations, linked to cloud-related short-wave errors. Equilibration of the biases involves local coupled sea surface temperature bias feedbacks onto the surface heat flux components. In combination with wind feedbacks, these biases adversely modify upper-ocean thermal structure. Most AMIP5 atmospheric models that exhibit small net heat flux biases appear to achieve this through compensating errors. We demonstrate that targeted developments to cloud-related parameterisations provide a route to better represent the Southern Ocean in climate models and projections.
机译:南大洋是全球气候系统的关键组成部分,但在气候模型中却很少体现出来,在上层海洋温度,云和风方面存在重大偏差。结合大气和耦合模型间比较项目(AMIP5 / CMIP5)的模拟,结合观测和平衡热收支理论,我们表明,整个CMIP5集合中,南海40-60°S的海表温度偏差主要是由AMIP5大气模型净表面通量偏差变化,与云相关的短波误差有关。偏差的平衡涉及将局部耦合的海面温度偏差反馈到表面热通量分量上。结合风的​​反馈,这些偏见不利地改变了上层海洋的热力结构。表现出较小净热通量偏差的大多数AMIP5大气模型似乎可以通过补偿误差来实现。我们证明,针对与云有关的参数化的有针对性的发展提供了一条在气候模型和预测中更好地表示南大洋的途径。

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