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首页> 外文期刊>Journal of Climate >Changes in Local and Global Climate Feedbacks in the Absence of Interactive Clouds: Southern Ocean-Climate Interactions in Two Intermediate-Complexity Models
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Changes in Local and Global Climate Feedbacks in the Absence of Interactive Clouds: Southern Ocean-Climate Interactions in Two Intermediate-Complexity Models

机译:在没有互动云的情况下,地方和全球气候反馈的变化:两种中间复杂性模型中的南洋气候互动

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摘要

The global-mean climate feedback quantifies how much the climate system will warm in response to a forcing such as increased CO2 concentration. Under a constant forcing, this feedback becomes less negative (increasing) over time in comprehensive climate models, which has been attributed to increases in cloud and lapse-rate feedbacks. However, out of eight Earth system models of intermediate complexity (EMICs) not featuring interactive clouds, two also simulate such a feedback increase: Bern3D-LPX and LOVECLIM. Using these two models, we investigate the causes of the global-mean feedback increase in the absence of cloud feedbacks. In both models, the increase is predominantly driven by processes in the Southern Ocean region. In LOVECLIM, the global-mean increase is mainly due to a local longwave feedback increase in that region, which can be attributed to lapse-rate changes. It is enhanced by the slow atmospheric warming above the Southern Ocean, which is delayed due to regional ocean heat uptake. In Bern3D-LPX, this delayed regional warming is the main driver of the global-mean feedback increase. It acts on a near-constant local feedback pattern mainly determined by the sea ice-albedo feedback. The global-mean feedback increase is limited by the availability of sea ice: faster Southern Ocean sea ice melting due to either stronger forcing or higher equilibrium climate sensitivity (ECS) reduces the increase of the global mean feedback in Bern3D-LPX. In the highest-ECS simulation with 4 x CO2 forcing, the feedback even becomes more negative (decreasing) over time. This reduced ice-albedo feedback due to sea ice depletion is a plausible mechanism for a decreasing feedback also in high-forcing simulations of other models.
机译:全球平均气候反馈量化了气候系统对二氧化碳浓度增加等强迫的变暖程度。在持续的强迫下,在综合气候模型中,随着时间的推移,这种反馈变得不那么负(增加),这归因于云量和衰减率反馈的增加。然而,在八个不以交互云为特征的中等复杂度地球系统模型中,有两个也模拟了这种反馈增加:Bern3D LPX和LOVECLIM。利用这两个模型,我们研究了在没有云反馈的情况下,全球平均反馈增加的原因。在这两种模式中,增长主要由南大洋地区的过程驱动。在LOVECLIM中,全球平均值的增加主要是由于该区域的局部长波反馈增加,这可归因于衰减率的变化。南大洋上空缓慢的大气变暖加剧了这一趋势,但由于区域海洋的热量吸收而推迟了这一过程。在Bern3D LPX中,这种延迟的区域变暖是全球平均反馈增加的主要驱动力。它作用于一个几乎恒定的局部反馈模式,主要由海冰反照率反馈决定。全球平均反馈增加受到海冰可用性的限制:由于更强的强迫或更高的平衡气候敏感性(ECS),南大洋海冰融化速度加快,会降低Bern3D LPX中全球平均反馈的增加。在具有4倍CO2强迫的最高ECS模拟中,随着时间的推移,反馈甚至变得更负(减少)。在其他模型的高强迫模拟中,由于海冰耗尽而导致的冰反照率反馈减少是反馈减少的一种合理机制。

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