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Identifying the role of typhoons as drought busters in South Korea based on hidden Markov chain models

机译:根据隐马尔可夫链模型确定台风在韩国干旱中的作用

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This study proposed a hidden Markov chain model-based drought analysis (HMM-DA) tool to understand the beginning and ending of meteorological drought and to further characterize typhoon-induced drought busters (TDB) by exploring spatiotemporal drought patterns in South Korea. It was found that typhoons have played a dominant role in ending drought events (EDE) during the typhoon season (July-September) over the last four decades (1974-2013). The percentage of EDEs terminated by TDBs was about 43-90% mainly along coastal regions in South Korea. Furthermore, the TDBs, mainly during summer, have a positive role in managing extreme droughts during the subsequent autumn and spring seasons. The HMM-DA models the temporal dependencies between drought states using Markov chain, consequently capturing the dependencies between droughts and typhoons well, thus, enabling a better performance in modeling spatiotemporal drought attributes compared to traditional methods.
机译:这项研究提出了一种基于隐马尔可夫链模型的干旱分析(HMM-DA)工具,以了解气象干旱的开始和结束,并通过探索韩国的时空干旱模式来进一步描述台风引发的干旱破坏者(TDB)。据发现,在过去的四十年(1974-2013年)中,台风在台风季节(7月至9月)结束干旱事件(EDE)中起着主导作用。由TDB终止的EDE的百分比约为43-90%,主要在韩国沿海地区。此外,主要在夏季,TDB在应对随后的秋季和春季季节的极端干旱方面发挥了积极作用。 HMM-DA使用马尔可夫链对干旱状态之间的时间相关性进行建模,从而很好地捕获了干旱与台风之间的相关性,因此与传统方法相比,在建模时空干旱属性方面具有更好的性能。

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