An extensive data set for in situ microphysical characterization of low-level clouds in a Finnish sub-Arctic site
Continuous, semi-long-term, ground-based in situ cloud measurements were conducted during eight Pallas Cloud Experiments (PaCEs) held in autumn between 2004 and 2019. Those campaigns were carried out in the Finnish sub-Arctic region at the Sammaltunturi station (67 ∘ 58 ′ 24 ′′ N, 24 ∘ 06 ′ 58 ′′ E;...
Published in: | Earth System Science Data |
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Main Authors: | , , , , |
Format: | Other/Unknown Material |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://doi.org/10.5194/essd-14-637-2022 https://essd.copernicus.org/articles/14/637/2022/ |
Summary: | Continuous, semi-long-term, ground-based in situ cloud measurements were conducted during eight Pallas Cloud Experiments (PaCEs) held in autumn between 2004 and 2019. Those campaigns were carried out in the Finnish sub-Arctic region at the Sammaltunturi station (67 ∘ 58 ′ 24 ′′ N, 24 ∘ 06 ′ 58 ′′ E; 560 m a.m.s.l.), the part of the Pallas Atmosphere–Ecosystem Supersite and Global Atmosphere Watch (GAW) program. Two cloud spectrometer ground setups and a weather station were installed on the roof of the station to measure in situ cloud properties and several meteorological variables. Thus, the obtained data sets include the size distribution of cloud droplets as a measured cloud parameter along with the air temperature, dew point temperature, humidity, pressure, horizontal wind speed and direction, (global solar) sun radiation, and visibility at the station. Additionally, the number concentration, effective diameter, median volume diameter, and liquid water content from each instrument were derived. The presented data sets provide a insight into microphysics of low-level clouds in sub-Arctic conditions over a wide range of temperatures ( −25.8 to 8.8 ∘ C). The data are available in the Finnish Meteorological Institute (FMI) open data repository for each campaign and each cloud spectrometer ground setup individually: https://doi.org/10.23728/FMI-B2SHARE.988739D21B824C709084E88ED6C6D54B (Doulgeris et al., 2021). |
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