Atmosphere · 2022 · 12 citations · 33 references
Natural SciencesEarth SciencesMeteorologyAtmospheric ScienceCloud MonitoringCloud PhysicsCloud DynamicsCloud MicrophysicsCloud ProcessesCloud PropertiesCloud Remote SensingCloud StructureCloud CharacterizationCloud Cover ClassificationCloud Microphysical PropertiesCloud Radiative PropertiesCloud Type ClassificationGround-based ObservationsGround-based SensingTarget Classification
Data collected over a period of 18 months (December 2019–May 2021) at the Bucharest–Măgurele Cloudnet station were analysed for the first time to determine the macrophysical and microphysical cloud properties over this site. A total number of 1,327,680 vertical profiles containing the target classification based on the Cloudnet algorithm were analysed, of which 1,077,858 profiles contained hydrometeors. The highest number of profiles with hydrometeors (>60%) was recorded in December 2020, with hydrometeors being observed mainly below 5 km. Above 5 km, the frequency of occurrence of hydrometeors was less than <20%. Based on the initial Cloudnet target classification, a cloud classification scheme was implemented. Clouds were more frequently observed during winter compared with other seasons (45% of all profiles). Ice clouds were the most frequent type of cloud (468,463 profiles) during the study period, followed by mixed phases (220,280 profiles) and mixed phased precipitable clouds (164,868 profiles). The geometrical thickness varied from a median value of 244 m for liquid clouds during summer to 3362 m for mix phased precipitable clouds during spring.
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A. J. Illingworth, Robin J. Hogan, Ewan O’Connor et al. · Bulletin of the American Meteorological Society · 2007 · 780 citations · Full text