The impact of secondary ice production on Arctic stratocumulus
<p>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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-02-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | https://www.atmos-chem-phys.net/20/1301/2020/acp-20-1301-2020.pdf |
Summary: | <p>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.</p> |
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ISSN: | 1680-7316 1680-7324 |