Articles | Volume 19, issue 24
Research article
18 Dec 2019
Research article |  | 18 Dec 2019

Estimating cloud condensation nuclei number concentrations using aerosol optical properties: role of particle number size distribution and parameterization

Yicheng Shen, Aki Virkkula, Aijun Ding, Krista Luoma, Helmi Keskinen, Pasi P. Aalto, Xuguang Chi, Ximeng Qi, Wei Nie, Xin Huang, Tuukka Petäjä, Markku Kulmala, and Veli-Matti Kerminen


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Aki Virkkula on behalf of the Authors (30 Sep 2019)  Author's response
ED: Referee Nomination & Report Request started (01 Oct 2019) by Manabu Shiraiwa
RR by Anonymous Referee #1 (14 Oct 2019)
ED: Reconsider after major revisions (15 Oct 2019) by Manabu Shiraiwa
AR by Aki Virkkula on behalf of the Authors (24 Oct 2019)  Author's response    Manuscript
ED: Publish as is (25 Oct 2019) by Manabu Shiraiwa
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.
Final-revised paper