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Mining Spatial Co-occurrence of Drought Events from Climate Data of India

机译:来自印度气候数据的干旱事件的采矿空间共同发生

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Increasingly in the recent past, the focus on climate change is moving towards the understanding of the occurrence, both in magnitude and frequency, of extreme climatic events like droughts and floods. In this paper, an effort has been made towards identification of spatial co-occurrence of droughts across various subdivisions of India, based on the historical climatological data of the past century. The results show that similarities in the climate forcing factors have a role in spatio-temporal correlation of events. Also, from the results, it is seen that the well-known spatial autocorrelations measures, such as Moran Index, are not sufficient to explain such cooccurrences of events.
机译:最近越来越多的,对气候变化的关注是在干旱和洪水等极端气候事件的情况下实现对发生的影响。在本文中,基于过去世纪的历史气候学数据,已经努力识别印度各种细分的干旱空间共同发生。结果表明,气候迫使因素中的相似性在时空相关事件中具有作用。此外,从结果中,可以看出,众所周知的空间自相关措施,例如Moran指标,不足以解释事件的这种联合。

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