The impact of secondary ice production on Arctic stratocumulus
Sotiropoulou, George; Sullivan, Sylvia; Savre, Julien; Lloyd, Gary; Lachlan-Cope, Thomas ORCID: https://orcid.org/0000-0002-0657-3235; Ekman, Annica M.L.; Nenes, Athanasios. 2020 The impact of secondary ice production on Arctic stratocumulus. Atmospheric Chemistry and Physics, 20. 1301-1316. 10.5194/acp-20-1301-2020
Before downloading, please read NORA policies.Preview |
Text (Open Access)
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. acp-20-1301-2020.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (2MB) | Preview |
Abstract/Summary
In situ measurements of Arctic clouds frequently show that ice crystal number concentrations (ICNCs) are much higher than the number of available ice-nucleating particles (INPs), suggesting that secondary ice production (SIP) may be active. Here we use a Lagrangian parcel model (LPM) and a large-eddy simulation (LES) to investigate the impact of three SIP mechanisms (rime splintering, break-up from ice–ice collisions and drop shattering) on a summer Arctic stratocumulus case observed during the Aerosol-Cloud Coupling And Climate Interactions in the Arctic (ACCACIA) campaign. Primary ice alone cannot explain the observed ICNCs, and drop shattering is ineffective in the examined conditions. Only the combination of both rime splintering (RS) and collisional break-up (BR) can explain the observed ICNCs, since both of these mechanisms are weak when activated alone. In contrast to RS, BR is currently not represented in large-scale models; however our results indicate that this may also be a critical ice-multiplication mechanism. In general, low sensitivity of the ICNCs to the assumed INP, to the cloud condensation nuclei (CCN) conditions and also to the choice of BR parameterization is found. Finally, we show that a simplified treatment of SIP, using a LPM constrained by a LES and/or observations, provides a realistic yet computationally efficient way to study SIP effects on clouds. This method can eventually serve as a way to parameterize SIP processes in large-scale models.
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | 10.5194/acp-20-1301-2020 |
ISSN: | 1680-7316 |
Date made live: | 24 Feb 2020 11:19 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/527024 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year