PROCESSING OF THE DATA MEASURED WITH CLOUD CONDENSATION NUCLEI COUNTER IN YEAR 2020 FOR SUBMISSION TO EBAS DATABASE

0579865 - ÚCHP 2024 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Moravec, Pavel - Jindra, Tomáš - Wagner, Zdeněk - Ždímal, Vladimír
PROCESSING OF THE DATA MEASURED WITH CLOUD CONDENSATION NUCLEI COUNTER IN YEAR 2020 FOR SUBMISSION TO EBAS DATABASE.
SBORNÍK XXII. VÝROČNÍ KONFERENCE ČESKÉ AEROSOLOVÉ SPOLEČNOSTI. Praha: Česká aerosolová společnost, z.s, 2023 - (Suchánková, L.), s. 29-32. ISBN 978-80-908653-1-0.
[VÝROČNÍ KONFERENCE ČESKÉ AEROSOLOVÉ SPOLEČNOSTI /22./. Čeladná (CZ), 13.11.2023-14.11.2023]
Grant CEP: GA MŠMT(CZ) LM2023030; GA MŠMT(CZ) LM2018122; GA MŠMT(CZ) EF16_013/0001315
GRANT EU: European Commission(XE) 871115 - ACTRIS IMP
Institucionální podpora: RVO:67985858
Klíčová slova: atmospheric aerosols * CCNC * cloud condensation nuclei concentrations
Obor OECD: Meteorology and atmospheric sciences

Aerosol particles in the atmosphere that allow water vapor to condense and form cloud droplets are called Cloud Condensation Nuclei (CCN). Elevated concentrations of CCN tend to increase the concentration and decrease the size of cloud droplets. This can lead to suppression of precipitation in shallow and short-lived clouds and to greater convective overturning and more precipitation in deep convective clouds, Rose et al.(2010). The response of cloud properties and precipitation processes to increasing anthropogenic aerosol concentrations represents one of the largest uncertainties in the current understanding of climate change. One of the fundamental challenges is to determine the ability of aerosol particles to act as CCN under relevant atmospheric conditions. Knowledge of the spatial and temporal distribution in the atmosphere is essential to incorporate the effects of CCN into meteorological models of all scales, Huang et al. (2007). Long-term CCN measurements are performed at aerosol monitoring sites such as those forming ACTRIS (Aerosols, Clouds, and Trace Gases Research Infrastructure) network. Measured data are then submitted to the EBAS database, where they are available for the other ACTRIS researchers. In this paper, we present our experience with the processing of the data measured with CCNC for submission to the EBAS database. The data prepared for submission to EBAS from year 2020 are also presented.
Trvalý link: https://hdl.handle.net/11104/0348651