文章基本信息

标题：Rescue and quality control of sub-daily meteorological data collected at Montevergine Observatory (Southern Apennines), 1884–1963
本地全文：下载
作者：Capozzi, Vincenzo ; Cotroneo, Yuri ; Castagno, Pasquale 等
期刊名称：Earth System Science Data Discussions
电子版ISSN：1866-3591
出版年度：2020
卷号：12
期号：2
页码：1467-1487
DOI：10.5194/essd-12-1467-2020
语种：English
出版社：Copernicus Publications
摘要：Here we present the rescue of sub-daily meteorologicalobservations collected from 1884 to 1963 at Montevergine Observatory,located in the Southern Apennines in Italy. The recovered dataset consists of3-daily observations of the following atmospheric variables: dry-bulbtemperature, wet-bulb temperature, water vapour pressure, relative humidity,atmospheric pressure, cloud type, cloud cover, rainfall, snowfall andprecipitation type. The data, originally available only as paper-basedrecords, have been digitized following the World Meteorological Organizationstandard practices. After a cross-check, the digitized data went throughthree different automatic quality control tests: the gross error test, whichverifies whether the data are within acceptable range limits; the tolerance test,which flags whether values are above or below monthly climatological limits thatare defined in accordance with a probability distribution model specific toeach variable; and the temporal coherency test, which checks the rate ofchange and flags unrealistic jumps in consecutive values. The result of this process is the publication of a new historical datasetthat includes, for the first time, digitized and quality-controlledsub-daily meteorological observations collected since the late 19thcentury in the Mediterranean region north of the 37th parallel. Thesedata are critical to enhancing and complementing previously rescued sub-dailyhistorical datasets – which are currentlylimited to atmospheric pressure observations only – in the central and northern Mediterranean regions. Furthermore, the Montevergine Observatory (MVOBS)dataset can enrich the understanding of high-altitude weather and climatevariability, and it contributes to the improvement of the accuracy of reanalysis productsprior the 1950s. Data are available on the NOAA's National Centers forEnvironmental Information (NCEI) public repository and are associated with aDOI: https://doi.org/10.25921/cx3g-rj98 (Capozzi et al., 2019).