Abstract. A better understanding of precipitation dynamics in the Indian subcontinent is required since India's society depends heavily on reliable monsoon forecasts. We introduce a non-linear, multiscale approach, based on wavelets and event synchronization, for unravelling teleconnection influences on precipitation. We consider those climate patterns with the highest relevance for Indian precipitation. Our results suggest significant influences which are not well captured by only the wavelet coherence analysis, the state-of-the-art method in understanding linkages at multiple timescales. We find substantial variation across India and across timescales. In particular, El Nino–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) mainly influence precipitation in the south-east at interannual and decadal scales, respectively, whereas the North Atlantic Oscillation (NAO) has a strong connection to precipitation, particularly in the northern regions. The effect of the Pacific Decadal Oscillation (PDO) stretches across the whole country, whereas the Atlantic Multidecadal Oscillation (AMO) influences precipitation particularly in the central arid and semi-arid regions. The proposed method provides a powerful approach for capturing the dynamics of precipitation and, hence, helps improve precipitation forecasting.

中文翻译：

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通过非线性多尺度方法揭示印度降水遥相关的空间多样性

摘要。由于印度社会严重依赖可靠的季风预报，因此需要更好地了解印度次大陆的降水动态。我们引入了一种基于小波和事件同步的非线性、多尺度方法，用于解开遥相关对降水的影响。我们考虑与印度降水最相关的气候模式。我们的结果表明，仅通过小波相干分析（一种在多个时间尺度上理解联系的最先进方法）无法很好地捕捉到显着影响。我们发现整个印度和跨时间尺度的巨大差异。特别是厄尔尼诺-南方涛动（ENSO）和印度洋偶极子（IOD）分别主要影响东南部年际和年代际尺度的降水，而北大西洋涛动 (NAO) 与降水有很强的联系，特别是在北部地区。太平洋年代际涛动 (PDO) 的影响遍及全国，而大西洋年代际涛动 (AMO) 影响降水，尤其是在中部干旱和半干旱地区。所提出的方法为捕捉降水动态提供了一种强大的方法，因此有助于改进降水预报。