Homogenization of daily temperature series in the European Climate Assessment & Dataset
Homogenization of daily temperature series in the European Climate Assessment & Dataset
复制标题
欧洲气候评估中每日温度序列的均质化
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
A. Klein Tank
中科院分区：
文献类型：
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作者：
A. Squintu;G. van der Schrier;Y. Brugnara;A. Klein Tank
欧洲气候评估和数据集的日最高和最低温度序列使用分位数匹配方法进行同质化。由于数据集很大并且元数据的细节通常缺失，因此自动化方法基于与周围系列的比较来定位系列中的中断，并且应用使用周围系列的同质段作为参考来估计的调整。共处理了6 500个系列，在删除重复和短系列后，对约2 100个系列进行了调整。最后，均匀化的影响，每日最高和最低温度的趋势估计，产生一个更空间均匀，然后似是而非的图片。
The daily maximum and minimum temperature series of the European Climate Assessment & Dataset are homogenized using the quantile matching approach. As the dataset is large and the detail of metadata is generally missing, an automated method locates breaks in the series based on a comparison with surrounding series and applies adjustments which are estimated using homogeneous segments of surrounding series as reference. A total of 6,500 series have been processed and after removing duplicates and short series, about 2,100 series have been adjusted. Finally, the effect of the homogenization of daily maximum and minimum temperature on trend estimation is shown to produce a much more spatially homogeneous and then plausible picture.