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MINIMUM TEMPERATURES CLASSIFICATION AT THE PYRENEES AREA USING EMPIRICAL ORTHOGONAL FUNCTIONS (EOF)

机译:使用经验正交函数(EOF)在比利牛斯地区的最低温度分类

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摘要

In order to forecast temperature in complex terrain areas is important to determine the most likely areas to have Cold Air Pool (CAP) formation. In this work Empirical Orthogonal Functions (EOF) were used to determine the spots where the temperature trends to cool more than the surroundings. The EOF decomposition is applied to the minimum temperature time series obtained from Automatic Weather Stations (AWS) located in different altitudes along the Segre Valley in the Pyrenees. The EOF decomposition separates the original time series among its variation patterns, which is useful to separate the different sources of variation.
机译:为了预测复杂地形区域的温度,确定最可能形成冷气池(CAP)的区域非常重要。在这项工作中,经验正交函数(EOF)用于确定温度趋势比周围环境冷却更多的点。 EOF分解应用于从比利牛斯山脉塞格河谷不同海拔的自动气象站(AWS)获得的最低温度时间序列。 EOF分解将原始时间序列分离为其变化模式,这对分离不同的变化源很有用。

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