The impact of secondary ice production on Arctic stratocumulus

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Fältnamn	Indikatorer	Metadata
000		03147naa a2200385 4500
001		oai:DiVA.org:su-179517
003		SwePub
008		200309s2020 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1795172 URI
024	7	a https://doi.org/10.5194/acp-20-1301-20202 DOI
040		a (SwePub)su
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Sotiropoulou, Georgia4 aut
245	1 0	a The impact of secondary ice production on Arctic stratocumulus
264		c 2020-02-04
264	1	b Copernicus GmbH,c 2020
338		a print2 rdacarrier
520		a 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, breakup 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 (AC-CACIA) 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.
650	7	a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe
650	7	a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng
700	1	a Sullivan, Sylvia4 aut
700	1	a Savre, Julien4 aut
700	1	a Lloyd, Gary4 aut
700	1	a Lachlan-Cope, Thomas4 aut
700	1	a Ekman, Annica M. L.u Stockholms universitet,Meteorologiska institutionen (MISU)4 aut0 (Swepub:su)aekma
700	1	a Nenes, Athanasios4 aut
710	2	a Stockholms universitetb Meteorologiska institutionen (MISU)4 org
773	0	t Atmospheric Chemistry And Physicsd : Copernicus GmbHg 20:3, s. 1301-1316q 20:3<1301-1316x 1680-7316x 1680-7324
856	4	u https://doi.org/10.5194/acp-20-1301-2020y Fulltext
856	4	u https://acp.copernicus.org/articles/20/1301/2020/acp-20-1301-2020.pdf
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-179517
856	4 8	u https://doi.org/10.5194/acp-20-1301-2020

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Av författaren/redakt...: Sotiropoulou, Ge ...; Sullivan, Sylvia; Savre, Julien; Lloyd, Gary; Lachlan-Cope, Th ...; Ekman, Annica M. ...; visa fler...; Nenes, Athanasio ...; visa färre...

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Av lärosätet: Stockholms universitet

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