Dumitrescu Alexandru, Micu Dana, Guijarro Jose, Manea Ancuta, Cheval Sorin
Meteo Romania (National Meteorological Administration), Bucharest, Romania.
Retired from State Meteorological Agency (AEMET), Balearic Islands Office, Palma de Mallorca, Spain.
Sci Data. 2025 Jul 1;12(1):1116. doi: 10.1038/s41597-025-05371-4.
In this study, we present RoClimHom, the first long-term homogenized dataset of daily air temperature and precipitation measurements for Romania, comprising mean (Tavg), maximum (Tmax), and minimum (Tmin) temperatures at 2 m height (T2m) and precipitation (PREC) from 156 weather stations spanning the 1901-2023 period. This work addresses the historical inconsistencies caused by changes in measurement techniques, station relocations, and operational practices. The homogenization methodology involved multiple stages, including data preprocessing, quality control, and breakpoint detection, resulting in a robust dataset that eliminates non-climatic biases. RoClimHom overcomes the potential biases in air temperature and precipitation measurements induced by changes in location, procedures, instruments, or personnel of the weather stations, which commonly influence natural climate variability. The new homogenized and gap-free climate dataset serves as an essential resource for academia and policymakers, facilitating climate change assessment and supporting a wide range of climate applications.
在本研究中,我们展示了RoClimHom,这是罗马尼亚首个长期均一化的日气温和降水测量数据集,包括1901年至2023年期间156个气象站2米高度处的平均气温(Tavg)、最高气温(Tmax)和最低气温(Tmin)以及降水量(PREC)。这项工作解决了因测量技术变化、站点迁移和操作实践导致的历史不一致问题。均一化方法涉及多个阶段,包括数据预处理、质量控制和断点检测,从而得到一个消除了非气候偏差的稳健数据集。RoClimHom克服了气象站位置、程序、仪器或人员变化所导致的气温和降水测量中的潜在偏差,这些偏差通常会影响自然气候变化。这个新的均一化且无间隙的气候数据集是学术界和政策制定者的重要资源,有助于气候变化评估并支持广泛的气候应用。