Cevennes-Vivarais地区强降水期间狮子湾海面温度模式的时间变化

R. Lotem, B. Anna, D. Marie, B. Jonathan, Cindy Lb, K. Haim
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摘要

法国南部的塞文-维瓦莱地区经常遭受强降水事件(HPEs),特别是在秋季。地中海西北部是这些hpe的热湿源,海气交换强烈,主要受近地面风强和海温控制。本研究的目的是表征与HPEs相关的海温结构、位置和变异性。实际上,狮子湾的特点是一个具有三个主要海洋特征的气旋环流:(1)北流(NC),(2)巴利阿里锋(BF),(3)和深层对流单元(CC)。利用2000-2011年1/12A [Âs]分辨率的地中海再分析(MEDRYS1V2)确定了NC、BF和CC海洋特征的位置,并计算了海温指数。然后,采用主成分分析法降维,剪影法聚类的无监督聚类分析方法确定最典型时期。考虑到聚类方法所定义的周期,使用Local Moran’s I (LMI)空间统计方法来突出海温的显著时间变异区域。在每个时段[初秋(8 - 9月)、10月和深秋(11 - 12月)],提取仅考虑HPE初始阶段的LMI值,并与平均LMI值进行比较。结果表明,在8 ~ 9月,罗纳河流出对海温变化的平均影响最为显著,与HPEs期间相同。在10月,对于HPEs的初始阶段,最大的变化似乎与西北风和特拉蒙塔风的影响有关。在晚秋,BF型和CC型向南移动,在HPEs初始阶段,在CC中心附近发现最显著的海温变率。
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Temporal Variability of Sea Surface Temperature Patterns in the Gulf of Lions During Heavy Precipitation Events in The Cevennes-Vivarais Region
The Cevennes-Vivarais region in southern France frequently suffers from Heavy Precipitation Events (HPEs), especially during the autumn season. The northwestern Mediterranean Sea is a source of heat and moisture for these HPEs, with strong air sea exchanges, which are mainly controlled by the near-surface wind intensity and the Sea Surface Temperature (SST). The aim of this study is to characterize the SST structures, location and variability related to HPEs. Indeed, the Gulf of Lion is characterized by a cyclonic circulation with three main oceanic features: (1) the Northern Current (NC), (2) the Balearic Front (BF), (3) and the deep Convective Cell (CC). The MEDidterranean ReanalYsiS (MEDRYS1V2), an ocean reanalysis at 1/12A‹Âs resolution was used over the 2000-2011 period to identify the NC, BF and CC oceanic feature's locations and for the calculation of an SST index. Then, an unsupervised cluster analysis method, using Principle Component Analysis for dimension reduction and the Silhouette for clustering, was used 20 in order to determine the most typical periods. The Local Moran's I (LMI) spatial statistical method, was used to highlight the areas of significant temporal variability of SST, considering the periods defined with the clustering method. For each period [early autumn (August-September), October and late autumn (November-December)], the LMI values, only considering the HPE initial stage, are extracted and compared to the averaged LMI values. The results highlight that in August-September, the Rhone river outflow have the most significant effect on SST variability on average, same as during HPEs. In October, for the HPEs initial stage, the largest variability seems to be related to the effects of the Mistral and Tramontane wind. In later autumn, there is a southward displacement of the BF and CC patterns and during the HPEs initial stage, the most significant SST variability is found near the center of the CC.
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