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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Seasonality and spatial pattern of rainfall of Sri Lanka: Exploratory factor analysis
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Seasonality and spatial pattern of rainfall of Sri Lanka: Exploratory factor analysis

机译:斯里兰卡降雨的季节性和空间格局:探索性因子分析

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This analysis is based on monthly means of rainfall at a dense network of gauging stations in Sri Lanka. The mean monthly values of rainfall at 646 stations were used as variables to characterise the individual stations. These variables show a significant correlation among most of them. The highest correlations were found between months within the same meteorological season, with one exception. The exception is that of October which has a higher correlation with months of southwest monsoon (SWM) than with the inter-monsoon (IM) months. The IM months and November have moderate values of correlation with the months of SWM. All three months of northeast monsoon (NEM) are strongly correlated and form a clearly defined group. This pattern of correlation can be explained in terms of the spatial distribution of rainfall of the 12 months. The strongly correlated months have a similar spatial pattern. This indicates that the number of distinct spatial modes of rainfall is less than 12. To discover these modes, principal component analysis (PCA) and factor analysis (FA) were applied on the data set. Of the two ordination methods, FA produced more easily interpretable results than PCA. The factor solution identified four spatiotemporal rainfall modes - weak southwest (SW) mode (March-April), strong SW mode (May-October), strong NEM mode (December-February) and mixed mode (November). These modes have strong similarity to the monthly rainfall surfaces created using the original data of the same periods.
机译:这项分析是基于斯里兰卡一个密集测量站网络的每月降雨量平均值。 646个站的平均月降雨量被用作变量来表征各个站。这些变量在大多数变量之间显示出显着的相关性。在同一气象季节的月份之间,相关性最高,只有一个例外。例外情况是,十月与西南季风(SWM)月份的相关性高于季风间(IM)月份的相关性。 IM月份和11月与SWM月份的相关度中等。东北季风(NEM)的所有三个月都紧密相关,并组成一个明确的组。这种相关性模式可以用12个月降雨的空间分布来解释。高度相关的月份具有相似的空间格局。这表明降雨的不同空间模式的数量少于12。为了发现这些模式,对数据集应用了主成分分析(PCA)和因子分析(FA)。在这两种排序方法中,FA产生的结果比PCA更容易解释。因子解确定了四种时空降雨模式-西南弱模式(3月至4月),强西南模式(5月至10月),强NEM模式(12月至2月)和混合模式(11月)。这些模式与使用同一时期的原始数据创建的月降水面具有高度相似性。

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