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首页> 外文期刊>Journal of Climate >Cloud-Radiation Feedback as a Leading Source of Uncertainty in the Tropical Pacific SST Warming Pattern in CMIP5 Models
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Cloud-Radiation Feedback as a Leading Source of Uncertainty in the Tropical Pacific SST Warming Pattern in CMIP5 Models

机译:云辐射反馈是CMIP5模型中热带太平洋海温变暖模式不确定性的主要来源

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摘要

The role of the intermodel spread of cloud-radiation feedback in the uncertainty in the tropical Pacific SST warming (TPSW) pattern under global warming is investigated based on the historical and RCP8.5 runs from 32 models participating in CMIP5. The large intermodel discrepancies in cloud-radiation feedback contribute 24% of the intermodel uncertainty in the TPSW pattern over the central Pacific. The mechanism by which the cloud-radiation feedback influences the TPSW pattern is revealed based on an analysis of the surface heat budget. A relatively weak negative cloud-radiation feedback over the central Pacific cannot suppress the surface warming as greatly as in the multimodel ensemble and thus induces a warm SST deviation over the central Pacific, producing a low-level convergence that suppresses (enhances) the evaporative cooling and zonal cold advection in the western (eastern) Pacific. With these processes, the original positive SST deviation over the central Pacific will move westward to the western and central Pacific, with a negative SST deviation in the eastern Pacific. Compared with the observed cloud-radiation feedback from six sets of reanalysis and satellite-observed data, the negative cloud-radiation feedback in the models is underestimated in general. It implies that the TPSW pattern should be closer to an El Nino-like pattern based on the concept of observational constraint. However, the observed cloud-radiation feedback from the various datasets also demonstrates large discrepancies in magnitude. Therefore, the authors suggest that more effort should be made to improve the precision of shortwave radiation observations and the description of cloud-radiation feedback in models for a more reliable projection of the TPSW pattern in future.
机译:根据历史和基于32个参与CMIP5的RCP8.5模型,研究了云辐射反馈的模型间传播在全球变暖下热带太平洋海温变暖(TPSW)模式不确定性中的作用。云辐射反馈中较大的模型间差异造成了太平洋中部TPSW模式中模型间不确定性的24%。基于对表面热收支的分析,揭示了云辐射反馈影响TPSW模式的机理。中央太平洋相对较弱的负云辐射反馈无法像多模式合奏一样抑制表面变暖,因此在中央太平洋上空引起的SST偏暖,从而产生了低水平的会聚,从而抑制(增强了)蒸发冷却西太平洋(太平洋)和纬向冷对流。通过这些过程,中太平洋原先的正SST偏差将向西移动到西部和中部太平洋,而东太平洋原先的SST负偏差。与从六组再分析和卫星观测数据中观察到的云辐射反馈相比,模型中的负云辐射反馈总体上被低估了。这意味着基于观察约束的概念,TPSW模式应更接近于El Nino型模式。但是,从各种数据集中观察到的云辐射反馈也显示出幅度上的巨大差异。因此,作者建议应做出更多的努力来提高模型中短波辐射观测的精确度和云辐射反馈的描述,以便将来更可靠地预测TPSW模式。

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