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Assessment of parallel precipitation measurements networks in Piedmont, Italy

机译:意大利皮埃蒙特的平行降水测量网络评估

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摘要

Long historical climate records usually contain non-climatic changes that can influence the observed behaviour of meteorological variables. The availability of parallel measurements offers an ideal occasion to study these discontinuities as they record the same climate. The transition from manual to automatic measurements has been analysed in this study. The dataset has been obtained from two independent climate networks in the Piedmont region, in Northwest Italy. From this dataset, 17 pairs of stations with up to 17 years of overlapping have been identified. On average the overlapping period is 12 years with 8760 daily data matched for a pair of stations. This dataset has proven valuable because it has made it possible to study a set of independently managed pairs of standard-quality stations, while most previous studies in this field analysed data from well-maintained instruments with the same operator, often at meteorological offices. The transition between two networks has highlighted important differences in the amount of precipitation and in the number of rainy days. On average, the automatic network has measured 12% less precipitation and has recorded 9% more rainy days (8 days) per year than the manual network. Both of these differences produce a spurious change in the precipitation of the analysed area, thus showing the importance of having a homogeneous dataset to identify real climate variations.
机译:长期的历史气候记录通常包含可能影响观测到的气象变量行为的非气候变化。并行测量的可用性为研究这些间断记录了相同的气候提供了理想的时机。本研究分析了从手动测量到自动测量的过渡。该数据集是从意大利西北部皮埃蒙特地区的两个独立气候网络获得的。从该数据集中,已识别出17对站,这些站具有长达17年的重叠。平均重叠期为12年,一对站点的每日匹配数据为8760。该数据集已被证明是有价值的,因为它使研究一组独立管理的标准质量站成为可能,而该领域中的大多数先前研究则是在气象局经常使用同一操作员对维护良好的仪器进行数据分析的。两个网络之间的过渡突显了降水量和雨天数方面的重要差异。平均而言,自动网络比手动网络减少了12%的降水,每年的雨天(8天)多记录了9%。这两种差异都会在分析区域的降水中产生虚假的变化,因此显示出拥有一个均一的数据集来识别真实气候变化的重要性。

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