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Quality control and gap‐filling methods applied to hourly temperature observations over central Italy
Meteorological Applications ( IF 2.7 ) Pub Date : 2020-06-23 , DOI: 10.1002/met.1913
Paolina B. Cerlini 1 , Lorenzo Silvestri 1, 2 , Miriam Saraceni 2
Affiliation  

Given the regional surface network of the Umbria region, a mountainous area located in central Italy, the observed hourly temperature time series from 2010 to 2017 were analysed by applying basic and extended quality control procedures following World Meteorological Organization (WMO) standards. The validation procedure consisted of automatic quality control, producing validated data with metadata subsequently recorded in the NetCDF format. After these controls, data were checked manually and an extended procedure was applied to reconstruct the temperature time series for missing data. The spatiotemporal method used to reconstruct the data was a linear interpolation for 1 hr gaps and the empirical orthogonal function (EOF) algorithm for gaps ≥ 2 hr. The introduction of a complete and homogeneous data set of hourly reanalysis ERA5 (from the European Center for Medium‐Range Weather Forecasts—ECMWF) allowed for the reconstruction of the longest gaps with statistical and physical consistency. The final product of the study is a continuous station time series of hourly temperatures that will be available to the public by the end of 2020; a daily version of the original time series is already available on the regional website.

中文翻译:

质量控制和填补缺口的方法应用于意大利中部的每小时温度观测

鉴于位于意大利中部山区的翁布里亚地区的区域地面网络,我们采用了遵循世界气象组织(WMO)标准的基本和扩展质量控制程序,对2010年至2017年的观测小时温度时间序列进行了分析。验证过程包括自动质量控制,生成验证数据以及随后以NetCDF格式记录的元数据。在进行这些控制之后,手动检查数据,并应用扩展程序来重建温度时间序列以查找丢失的数据。用于重建数据的时空方法是对1 hr的间隙进行线性插值,对≥2 hr的间隙进行经验正交函数(EOF)算法。每小时重新分析ERA5的完整且同质的数据集(来自欧洲中型天气预报中心ECMWF)的引入允许重建具有统计和物理一致性的最长差距。该研究的最终结果是按小时连续的站台时间序列,并将在2020年底之前向公众公开。该区域网站上已经提供了原始时间序列的每日版本。
更新日期:2020-06-23
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