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The relationship between Indian summer monsoon rainfall and Atlantic multidecadal variability over the last 500 years

机译:近500年来印度夏季风降水与大西洋年代际变化的关系。

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Several studies have shown a statistically significant correlation between Atlantic multidecadal variability (AMV) and Indian summer monsoon rainfall (ISMR) since 1871 when instrumental data are available. In the instrumental records, both ISMR and North Atlantic sea surface temperatures (SSTs) have multidecadal variability with a period close to 60 yr, where periods of warm (cold) North Atlantic SSTs are accompanied by periods of wetter (dryer) ISMR and lower (higher) frequencies of dry years. We have studied both AMV and ISMR for the period from 1481 to present using several proxy reconstructions from both regions, as well as an extended instrumental data set for ISMR, to investigate multidecadal variability in the ISMR and the teleconnection to AMV. Previous studies investigating the relationship between AMV and ISMR in instrumental data have only used the period from 1871 onwards, whereas rain gauge data from the year 1844 are studied here, extending the instrumental record by 26 yr. We find that the observed link between AMV and ISMR is present in the extended instrumental data. We also find that multidecadal variability is present in the ISMR in all proxy records; however, all the proxy records for both ISMR and AMV diverge before the 1800s. In addition, the observed correlation between AMV and ISMR has weakened in the last decade. These results emphasise that it is not appropriate to use single proxy reconstructions to study past climates.
机译:自从1871年获得仪器数据以来,多项研究表明,大西洋多年代际变化(AMV)与印度夏季风降水(ISMR)之间在统计上具有显着相关性。在仪器记录中,ISMR和北大西洋海表温度(SST)都具有近十年的多年代变化,其中北大西洋SST的温暖(冷)期伴随着ISMR的较湿(较干)期和较低的时期(较高的频率)。我们使用两个地区的几个代理重建以及ISMR的扩展工具数据集,研究了从1481年到现在的AMV和ISMR,以研究ISMR和与AMV的遥相关的多年代际变化。以前在仪器数据中调查AMV和ISMR之间关系的研究仅使用了1871年以来的时期,而此处对1844年的雨量计数据进行了研究,将仪器记录延长了26年。我们发现扩展的仪器数据中存在观察到的AMV和ISMR之间的链接。我们还发现,所有代理记录中的ISMR中都存在多年代变化。但是,在1800年代之前,ISMR和AMV的所有代理记录都不同。此外,在过去十年中,观察到的AMV和ISMR之间的相关性已经减弱。这些结果强调,使用单一代理重建研究过去的气候是不合适的。

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