Articles | Volume 19, issue 24
https://doi.org/10.5194/acp-19-15483-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-15483-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Dec 2019
Research article |
| 18 Dec 2019
| 18 Dec 2019
Estimating cloud condensation nuclei number concentrations using aerosol optical properties: role of particle number size distribution and parameterization
Yicheng Shen
Joint International Research Laboratory of Atmospheric Sciences,
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Joint International Research Laboratory of Atmospheric Sciences,
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Atmospheric Composition Research, Finnish Meteorological Institute, 00101 Helsinki, Finland
Joint International Research Laboratory of Atmospheric Sciences,
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Krista Luoma
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Helmi Keskinen
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Hyytiälä Forestry Field Station, Hyytiäläntie 124, Korkeakoski FI 35500, Finland
Pasi P. Aalto
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Xuguang Chi
Joint International Research Laboratory of Atmospheric Sciences,
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Ximeng Qi
Joint International Research Laboratory of Atmospheric Sciences,
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Joint International Research Laboratory of Atmospheric Sciences,
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Xin Huang
Joint International Research Laboratory of Atmospheric Sciences,
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Tuukka Petäjä
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Joint International Research Laboratory of Atmospheric Sciences,
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Markku Kulmala
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Veli-Matti Kerminen
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Data sets
AVAA-portal AVAA https://avaa.tdata.fi/web/smart/
Short summary
Long-term cloud condensation nuclei (CCN) number concentration (NCCN) data are scarce; there are a lot more data on aerosol optical properties (AOPs). It is therefore valuable to derive parameterizations for estimating NCCN from AOP measurements. With the new parameterization NCCN can be estimated from backscatter fraction, scattering Ångström exponent, and total light-scattering coefficient. The NCCN–AOP relationships depend on the geometric mean diameter and the width of the size distribution.
Long-term cloud condensation nuclei (CCN) number concentration (NCCN) data are scarce; there are a...
Altmetrics
Final-revised paper
Preprint