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PROPOSAL OF A NEW METHOD TO SELECT THE REFERENCES SERIES: FIRST RESULTS

机译:提出了一种选择参考文献系列的新方法的建议:第一结果

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Most techniques used to adjust daily climatological time series for reconstruction the missing values and for inhomogeneities require a reference series obtained from neighbouring stations. In many cases, the selection of reference series is obtained using only statistical methods and neglecting the climatological peculiarities of the meteorological station. In this study we have tried to estimate the importance of climatological features compared with the statistical methods. We have studied the maximum and minimum daily temperatures series of the Piedmont (NW Italy). We have selected the candidate series (to reconstruct or to homogenize) and the neighbouring series. For each selected station we have carried out a climate analysis and we have applied the statistical tests in the period 1998-99. The methods have allowed to assess which reference series "better represent" the candidate series.
机译:用于调整每日气候时间序列以重建缺失值和非均质性的大多数技术都需要从邻近站点获得的参考序列。在许多情况下,仅使用统计方法并忽略气象站的气候特点来选择参考序列。在这项研究中,我们试图估计与统计方法相比的气候特征的重要性。我们研究了皮埃蒙特(意大利西北)的最高和最低每日温度序列。我们选择了候选序列(用于重构或均化)和相邻序列。对于每个选定的站点,我们都进行了气候分析,并在1998-99年期间应用了统计检验。该方法允许评估哪个参考系列“更好地代表”了候选系列。

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