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Mechanisms and Predictability of Pacific Decadal Variability

机译:太平洋二等变异性的机制与可预测性

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Purpose of Review This paper reviews recent progress in the understanding and prediction of pacific decadal variability (PDV). The PDV is now recognized to consist of multiple ocean-atmosphere modes and to be caused by multiple processes. At the leading order, PDV can be viewed as the reddening process of stochastic atmospheric variability on the extratropical ocean. However, PDV is also strongly tied to teleconnection dynamics interacting with the tropics, primarily the interactions between meridional modes in the extra-tropics and ENSO, and between the ENSO teleconnections and the dominant modes of atmospheric variability in the mid-latitude. Recent Findings Extratropical oceanic Rossby waves are found to be crucial for determining the decadal time scales of the PDV and provide potentially an important source of predictability of PDV. Preliminary experiments with GCMs and empirical linear inverse models have shown some skill for the prediction of PDV in ocean surface temperatures. While the climate predictions in the first few years depend significantly on the oceanic initial condition, predictions of near decadal time scales are contributed mostly by the global warming trend. In addition, recent studies explored the role of ocean subsurface dynamics for multi-decadal predictability in the Pacific and suggest that subsurface dynamics may lead to important sources of decadal predictability in regional upwelling systems, namely the eastern boundary and polar gyre. Overall, the predictability of PDV and the related surface and subsurface signals remain to be much studied. Summary Recent studies also start to explore the relation between PDV and global warming. It has been suggested that PDV can slow down or accelerate the global warming trend significantly. The influence of the anthropogenic climate change on PDV, however, has remained unclear.
机译:审查目的本文评论了最近的近地区近代​​变异性(PDV)的理解和预测进展。 PDV现在被认可由多种海洋气氛模式组成,并由多种过程引起。在领先的顺序,PDV可以被视为潜水海洋随机大气变异性的变红过程。然而,PDV也强烈地绑定到与热带地区的遥控动态相关,主要是额外热带和ENSO中的子午模式之间的相互作用,以及在宽纬度地区的ENSO遥控器之间的主导模式和大气变异性之间的主导模式。最近发现额外的海洋rossby波对于确定PDV的分型时间尺度并提供潜在的PDV可预测性来源至关重要。具有GCMS和经验线性逆模型的初步实验已经表明了在海洋表面温度中预测PDV的一些技巧。虽然在前几年的气候预测上显着依赖于海洋初始条件,但在全球变暖趋势主要贡献了附近的近代时间尺度的预测。此外,最近的研究探讨了海洋地下动态在太平洋地下的多层可预测性中的作用,并提出了地下动态可能导致区域上升系统中的十足可预测性的重要来源,即东部边界和极地景观。总的来说,研究了PDV和相关表面和地下信号的可预测性。摘要最近的研究还开始探索PDV与全球变暖之间的关系。有人提出,PDV可以显着减缓或加速全球变暖趋势。然而,人为气候变化对PDV的影响仍然不清楚。

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