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Meteorological Drought Migration in the Poyang Lake Basin, China: Switching among Different Climate Modes

机译:中国鄱阳湖盆地的气象干旱迁移:不同气候模式之间切换

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The spatiotemporal variability of droughts over a region can often be characterized by combining orthogonal climate modes with corresponding temporal coefficients. The temporal characteristics of climate modes have been extensively addressed, while their spatial development remains largely unexplored. Hence, this study investigated the spatiotemporal evolution of meteorological droughts from the perspective of climate modes. Nearly 50 years of monthly precipitation records (1960-2007) from 73 meteorological stations in the Poyang Lake basin, China, were used. The standardized precipitation index at a 1-month scale was applied to quantify meteorological droughts. The dominant modes of the droughts over the basin were identified using principal component analysis, K-means cluster analysis, and analysis of variance. Based on the trajectory migration identification method, the role of the climate modes in spatiotemporal evolution was analyzed. The results showed that four spatial modes of the droughts in the basin were identified. The spatial extents, centroids, and severity of the drought clusters based on the identified modes were significantly consistent with those based on the meteorological stations (R-2 > 0.8, p < 0.05), which indicated that these modes could mostly match the large areas where serious dry/wet conditions occurred. Moreover, their performances in characterizing the spatiotemporal evolutional features (severity, migration distance, and pattern) of drought events were valid, which indicated that they might be considered as the elementary constituents of the historical meteorological drought events across the basin. The findings might offer some implications to understand drought development and causes through possible connections between the dominant modes and climate variability.
机译:通过将正交的气候模式与相应的时间系数组合来表征在一个区域上的时空变异。气候模式的时间特征已被广泛解决,而其空间发展仍然很大程度上是未开发的。因此,本研究调查了气候模式的视角下的气象干旱时空演变。使用了中国鄱阳湖盆地的73个气象站的近50年的月度降水记录(1960-2007)。应用了1个月规模的标准化降水指数以量化气象干旱。使用主成分分析,K均值分析和方差分析来鉴定盆地上干旱的显性模式。基于轨迹迁移识别方法,分析了气候模式在时尚演化中的作用。结果表明,鉴定了盆地中干旱的四种空间模式。基于所识别的模式的干旱簇的空间范围,质心和严重程度与基于气象站(R-2> 0.8,P <0.05)的那些明显一致,这表明这些模式主要匹配大面积发生严重的干/湿条件。此外,它们在表征干旱事件的时空进化特征(严重程度,迁移距离和图案)的性能有效,这表明它们可能被视为整个盆地历史气象干旱事件的基本成分。调查结果可能会对理解干旱开发的影响,并通过主导模式与气候变异性之间的可能联系来引发。

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