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量化南半球季节内平流层-对流层耦合的时间尺度和强度。

Quantifying the Timescale and Strength of Southern Hemisphere Intraseasonal Stratosphere-troposphere Coupling.

作者信息

Saggioro Elena, Shepherd Theodore G

机构信息

Department of Mathematics and Statistics University of Reading Reading UK.

Department of Meteorology University of Reading Reading UK.

出版信息

Geophys Res Lett. 2019 Nov 28;46(22):13479-13487. doi: 10.1029/2019GL084763. Epub 2019 Nov 20.

DOI:10.1029/2019GL084763
PMID:32025065
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6988456/
Abstract

The Southern Hemisphere zonal circulation manifests a downward influence of the stratosphere on the troposphere from late spring to early summer. However, the strength and timescale of the connection, given the stratospheric state, have not been explicitly quantified. Here, SH zonal wind reanalysis time series are analyzed with a methodology designed to detect the minimal set of statistical predictors of multiple interacting variables via conditional independence tests. Our results confirm from data that the variability of the stratospheric polar vortex is a predictor of the tropospheric eddy-driven jet between September and January. The vortex variability explains about 40% of monthly mean jet variability at a lead time of 1 month and can entirely account for the observed jet persistence. Our statistical model can quantitatively connect the multidecadal trends observed in the vortex and jet during the satellite era. This shows how short-term variability can help understand statistical links in long-term changes.

摘要

南半球纬向环流在晚春至初夏表现出平流层对对流层的向下影响。然而,给定平流层状态下这种联系的强度和时间尺度尚未得到明确量化。在此,利用一种旨在通过条件独立性检验检测多个相互作用变量的最小统计预测因子集的方法,对南半球纬向风再分析时间序列进行了分析。我们的结果从数据上证实,平流层极涡的变率是9月至1月间对流层急流的一个预测因子。涡旋变率在提前1个月时可解释约40%的月平均急流变率,并且能完全解释观测到的急流持续性。我们的统计模型可以定量地联系卫星时代在涡旋和急流中观测到的多年代际趋势。这表明短期变率有助于理解长期变化中的统计联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f715/6988456/4f0c7bbe1da0/GRL-46-13479-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f715/6988456/b74b4337c04c/GRL-46-13479-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f715/6988456/9c26c53f8d4e/GRL-46-13479-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f715/6988456/4f0c7bbe1da0/GRL-46-13479-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f715/6988456/b74b4337c04c/GRL-46-13479-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f715/6988456/9c26c53f8d4e/GRL-46-13479-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f715/6988456/4f0c7bbe1da0/GRL-46-13479-g003.jpg

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