Articles | Volume 21, issue 5
https://doi.org/10.5194/acp-21-3871-2021
© Author(s) 2021. 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-21-3871-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2021
Research article |
| 15 Mar 2021
| 15 Mar 2021
The importance of Aitken mode aerosol particles for cloud sustenance in the summertime high Arctic – a simulation study supported by observational data
Department of Meteorology, Stockholm University, Stockholm 106 91,
Sweden
Bolin Centre for Climate Research, Stockholm 106 91, Sweden
Adele L. Igel
Department of Land, Air and Water Resources, University of California, Davis, Davis, CA 95616, California, USA
Caroline Leck
Department of Meteorology, Stockholm University, Stockholm 106 91,
Sweden
Bolin Centre for Climate Research, Stockholm 106 91, Sweden
Jost Heintzenberg
Department of Meteorology, Stockholm University, Stockholm 106 91,
Sweden
Leibniz Institute for Tropospheric Research, Permoserstraße 14, Leipzig 04318, Germany
Ilona Riipinen
Department of Environmental Science (ACES), Stockholm University,
Stockholm, 106 91, Sweden
Bolin Centre for Climate Research, Stockholm 106 91, Sweden
Annica M. L. Ekman
Department of Meteorology, Stockholm University, Stockholm 106 91,
Sweden
Bolin Centre for Climate Research, Stockholm 106 91, Sweden
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The Arctic is a region where aerosols are scarce. Sea spray might be a potential source of aerosols acting as ice-nucleating particles. We investigate two common phytoplankton species (Melosira arctica and Skeletonema marinoi) and present their ice nucleation activity in comparison with Arctic seawater microlayer samples from different field campaigns. We also aim to understand the aerosolization process of marine biological samples and the potential effect on the ice nucleation activity.
Jost Heintzenberg, Wolfram Birmili, Bryan Hellack, Gerald Spindler, Thomas Tuch, and Alfred Wiedensohler
Atmos. Chem. Phys., 20, 10967–10984, https://doi.org/10.5194/acp-20-10967-2020, https://doi.org/10.5194/acp-20-10967-2020, 2020
Short summary
Short summary
A total of 10 years of hourly aerosol and gas data at four rural German stations have been combined with hourly back trajectories to the stations and inventories of the European Emissions Database for Global Atmospheric Research (EDGAR), yielding emission maps and trends over Germany for PM10, particle number concentrations, and equivalent black carbon (eBC). The maps reflect aerosol emissions modified with atmospheric processes during transport between sources and receptor sites.
Cited articles
Avramov, A. and Harrington, J. Y.: Influence of parameterized ice habit on
simulated mixed phase Arctic clouds, J. Geophys. Res.-Atmos., 115, D03205,
https://doi.org/10.1029/2009JD012108, 2010.
Bigg, E. K. and Leck, C.: Cloud-active particles over the central Arctic
ocean, J. Geophys. Res., 106, 32155–32166, https://doi.org/10.1029/1999JD901152, 2001.
Bigg, E. K., Leck, C., and Nilsson, E. D.: Sudden changes in
arcticatmospheric aerosol concentrations during summer and autumn, Tellus B,
48, 254–271, https://doi.org/10.3402/tellusb.v48i2.15890, 1996.
Birch, C. E., Brooks, I. M., Tjernström, M., Shupe, M. D., Mauritsen, T., Sedlar, J., Lock, A. P., Earnshaw, P., Persson, P. O. G., Milton, S. F., and Leck, C.: Modelling atmospheric structure, cloud and their response to CCN in the central Arctic: ASCOS case studies, Atmos. Chem. Phys., 12, 3419–3435, https://doi.org/10.5194/acp-12-3419-2012, 2012.
Brooks, I. M., Tjernström, M., Persson, P.O.G., Shupe, M. D., Atkinson,
R. A., Canut, G., Birch, C. E., Mauritsen, T., Sedlar, J., and Brooks, B.
J.: The turbulent structure of the Arctic summer boundary layer during the
Arctic summer cloud-ocean study, J. Geophys. Res.-Atmos., 122, 9685–9704,
https://doi.org/10.1002/2017JD027234, 2017.
Bulatovic I. and Igel, A. L.: Data from a modelling study on the importance of Aitken mode particles for cloud sustenance in the high Arctic, Dataset version 1.0, Bolin Centre Database, https://doi.org/10.17043/bulatovic-2020, 2020.
Chen, C. and Cotton, W. R.: A one-dimensional simulation of the
stratocumulus-capped mixed layer, Bound.-Lay. Meteorol., 25, 289–321, 1983.
Christiansen, S., Ickes, L., Bulatovic, I., Leck, C., Murray, B. J.,
Bertram, A. K., Wagner, R., Gorokhova, E., Salter, M. E., Ekman, A. M. L.,
and Bilde, M.: Influence of Arctic microlayers and algal cultures on sea
spray hygroscopicity and the possible implications for mixed-phase clouds,
J. Geophys. Res.-Atmos, 125, e2020JD032808, https://doi.org/10.1029/2020JD032808, 2020.
Cotton, W. R., Pielke Sr., R. A., Walko, R. L., Liston, G. E., Tremback, C.
J., Jiang, H., McAnelly, R. L., Harrington, J. Y., Nicholls, M. E., Carrio,
G. G., and McFadden, J. P.: RAMS 2001: Current status and future directions,
Meteorol. Atmos. Phys., 82, 5–29, https://doi.org/10.1007/s00703-001-0584-9, 2003.
Covert, D. S., Wiedensohler, A., Aalto, P., Heintzenberg, J., McMurry, P.
H., and Leck, C.: Aerosol number size distributions from 3 to 500 nm
diameter in the arctic marine boundary layer during summer and autumn,
Tellus B, 48, 197-212, https://doi.org/10.3402/tellusb.v48i2.15886, 1996.
Croft, B., Wentworth, G. R., Martin, R. V., Leaitch, W. R., Murphy, J. G.,
Murphy, B. N., Kodros, J. K., Abbatt, J. P. D., and Pierce, J. R.:
Contribution of Arctic seabird-colony ammonia to atmospheric particles and
cloud-albedo radiative effect, Nat. Commun., 7, 13444,
https://doi.org/10.1038/ncomms13444, 2016.
Curry, J. A. and Ebert, E. E.: Annual cycle of radiative fluxes over the
Arctic Ocean: Sensitivity to cloud optical properties, J. Climate, 5,
1267–1280, https://doi.org/10.1175/1520-0442(1992)005<1267:ACORFO>2.0.CO;2, 1992.
Curry, J. A., Rossow, W.B., Randall, D., and Schramm, J. L.: Overview of
Arctic cloud and radiation characteristics, J. Climate, 9, 1731–1764,
https://doi.org/10.1175/1520-0442(1996)009<1731:OOACAR>2.0.CO;2, 1996.
Dimitrelos, A., Ekman, A. M. L., Caballero, R., and Savre, J.: A Sensitivity
Study of Arctic Air-Mass Transformation Using Large Eddy Simulation, J. Geophys. Res.-Atmos., 125, e2019JD031738, https://doi.org/10.1029/2019JD031738, 2020.
Eirund, G. K., Possner, A., and Lohmann, U.: Response of Arctic mixed-phase clouds to aerosol perturbations under different surface forcings, Atmos. Chem. Phys., 19, 9847–9864, https://doi.org/10.5194/acp-19-9847-2019, 2019.
Ekman, A. M. L., Wang, C., Ström, J., and Krejci, R.: Explicit
simulation of aerosol physics in a cloud-resolving model: Aerosol transport
and processing in the free troposphere, J. Atmos. Sci., 63, 682–696,
https://doi.org/10.1175/JAS3645.1, 2006.
Feingold, G., Boers, R., Stevens, B., and Cotton, W. R.: A modeling study of
the effect of drizzle on cloud optical depth and susceptibility, J. Geophys.
Res., 102, 13527, https://doi.org/10.1029/97JD00963, 1997.
Freud, E., Krejci, R., Tunved, P., Leaitch, R., Nguyen, Q. T., Massling, A., Skov, H., and Barrie, L.: Pan-Arctic aerosol number size distributions: seasonality and transport patterns, Atmos. Chem. Phys., 17, 8101–8128, https://doi.org/10.5194/acp-17-8101-2017, 2017.
Fu, Q. and Liou, K. N.: Parameterization of the radiative properties of
cirrus clouds, J. Atmos. Sci., 50, 2008–2025, https://doi.org/10.1175/1520-0469(1993)050<2008:POTRPO>2.0.CO;2, 1993.
Garrett, T. J. and Zhao, C.: Increased Arctic cloud longwave emissivity
associated with pollution from mid-latitudes, Nature, 440,
787–789, https://doi.org/10.1029/2018JD028579, 2006.
Garrett, T., Maestas, M. M., Krueger, S. K., and Schmidt, C. T.:
Acceleration by aerosol of a radiative-thermodynamic cloud feedback
influencing Arctic surface warming, Geophys. Res. Lett., 36, L19804,
https://doi.org/10.1029/2009GL040195, 2009.
Ghan, S., J., Leung, R., L., Easter, R. C., and Abdul-Razzak, H.: Prediction
of cloud droplet number in a general circulation model, J. Geophys. Res.,
102, 21777–21794, https://doi.org/10.1029/97JD01810, 1997.
Harrington, J. Y.: The effects of radiative and microphysical processes on
simulation of warm and transition season Arctic stratus, Colorado State
University, 289 pp., 1997.
Hartmann, D. L., Klein Tank, A. M. G., Rusticucci, M., Alexander, L. V.,
Brönnimann, S., Charabi, Y. A. R., Dentener, F. J., Dlugokencky, E. J.,
Easterling, D. R., Kaplan, A., Soden, B. J., Thorne, P. W., Wild, M., and
Zhai, P. M.: Observations: Atmosphere and Surface, in: Climate change 2013:
The physical science basis. Contribution of Working Group I to the Fifth
Assessment Report of the Intergovernmental Panel on Climate Change, edited
by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K.,
Boschung, J., Nauels, A., Xia, Y., Bex V., and Midgley, P. M., Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA, 159–254,
https://doi.org/10.1017/CBO9781107415324.008, 2013.
Heintzenberg, J. and Leck, C.: Seasonal variation of the atmospheric aerosol
near the top of the marine boundary layer over Spitsbergen related to the
Arctic sulphur cycle, Tellus B, 46, 52–67, https://doi.org/10.1034/j.1600-0889.1994.00005.x, 1994.
Heintzenberg, J. and Leck, C.: The summer aerosol in the central Arctic 1991–2008: did it change or not?, Atmos. Chem. Phys., 12, 3969–3983, https://doi.org/10.5194/acp-12-3969-2012, 2012.
Heintzenberg, J., Leck, C., and Tunved, P.: Potential source regions and processes of aerosol in the summer Arctic, Atmos. Chem. Phys., 15, 6487–6502, https://doi.org/10.5194/acp-15-6487-2015, 2015.
Holland, M. M. and Bitz, C. M.: Polar amplification of climate change in
coupled models, Clim. Dyn., 21, 221–232, https://doi.org/10.1007/s00382-003-0332-6, 2003.
Hoppel, W. A., Frick, G. M., and Larson, R. E.: Effect of nonprecipitating
clouds on the aerosol size distribution in the marine boundary
layer, Geophys. Res. Lett., 13, 125–128,
https://doi.org/10.1029/GL013i002p00125, 1986.
Hudson, J. G. and Noble, S.: CCN and vertical velocity influences on droplet
concentrations and supersaturations in clean and polluted stratus clouds, J.
Atmos. Sci., 71, 312– 331, https://doi.org/10.1175/JAS-D-13-086.1, 2014.
Igel, A. L., Ekman, A. M. L., Leck, C., Tjernström, M., Savre, J., and
Sedlar, J.: The free troposphere as a potential source of Arctic boundary
layer aerosol particles, Geophys. Res. Lett., 44, 7053–7060, https://doi.org/10.1002/2017GL073808, 2017.
Intrieri, J. M, Shupe, M. D., Uttal, T., and McCarty, B. J.: An annual cycle
of Arctic cloud characteristics observed by radar and lidar at SHEBA., J.
Geophys. Res.-Oceans, 107, 8030, https://doi.org/10.1029/2000JC000423, 2002.
Karl, M., Leck, C., Coz, E., and Heintzenberg, J.: Marine nanogels as a
source of atmospheric nanoparticles in the high Arctic, Geophys. Res. Lett.,
40, 3738–3743, https://doi.org/10.1002/grl.50661, 2013.
Kay, J. E. and Gettelman, A.: Cloud influence on and response to seasonal
arctic sea ice loss, J. Geophys. Res.-Atmos., 114, D18204, https://doi.org/10.1029/2009JD011773, 2009.
Kay, J. E., Raeder, K., Gettelman, A., and Anderson, J.: The boundary layer
response to recent Arctic sea ice loss and implications for high-latitude
climate feedbacks, J. Climate, 24, 428–447, https://doi.org/10.1175/2010JCLI3651.1, 2011.
Kecorius, S., Vogl, T., Paasonen, P., Lampilahti, J., Rothenberg, D., Wex, H., Zeppenfeld, S., van Pinxteren, M., Hartmann, M., Henning, S., Gong, X., Welti, A., Kulmala, M., Stratmann, F., Herrmann, H., and Wiedensohler, A.: New particle formation and its effect on cloud condensation nuclei abundance in the summer Arctic: a case study in the Fram Strait and Barents Sea, Atmos. Chem. Phys., 19, 14339–14364, https://doi.org/10.5194/acp-19-14339-2019, 2019.
Koike, M., Ukita, J., Ström, J., Tunved, P., Shiobara, M., Vitale, V.,
A. Lupi, A., Baumgardner, D., Ritter, C., Hermansen, O., Yamada, K., and
Pedersen, C. A.: Year-round in situ measurements of Arctic low-level clouds:
Microphysical properties and their relationships with aerosols, J. Geophys.
Res.-Atmos., 124, 1798–1822, https://doi.org/10.1029/2018JD029802, 2019.
Köhler, H.: The nucleus in and the growth of hygroscopic droplets,
T. Faraday Soc., 32, 1152–1161, https://doi.org/10.1039/TF9363201152, 1936.
Leck, C. and Bigg E. K.: Source and evolution of the marine aerosol – A new
perspective, Geophys. Res. Lett., 32, L19803, https://doi.org/10.1029/2005GL023651, 2005a.
Leck, C. and Bigg, E. K.: Biogenic particles in the surface microlayer and
overlaying atmosphere in the central Arctic Ocean during summer, Tellus B, 57, 305–316, https://doi.org/10.3402/tellusb.v57i4.16546, 2005b.
Leck, C. and Svensson, E.: Importance of aerosol composition and mixing state for cloud droplet activation over the Arctic pack ice in summer, Atmos. Chem. Phys., 15, 2545–2568, https://doi.org/10.5194/acp-15-2545-2015, 2015.
Leck, C., Bigg, E. K., Covert, D. S., Heintzenberg, J., Maenhaut, W.,
Nilsson, E. D., and Wiedensohler, A.: Overview of the atmospheric research
program during the International Arctic Ocean Expedition 1991 (IAOE-91) and
its scientific results, Tellus B, 48, 136–155, https://doi.org/10.3402/tellusb.v48i2.15833, 1996.
Leck, C., Nilsson, E. D., Bigg, E. K., and Bäcklin, L.: Atmospheric
program on the Arctic Ocean Expedition 1996 (AOE-96) – An overview of
scientific goals, experimental approach, and instrument, J. Geophys. Res.-Atmos., 106 , 32051–32067, https://doi.org/10.1029/2000JD900461, 2001.
Leck, C., Tjernström, M., Matrai, P., Swietlicki E., and Bigg, E. K.:
Can marine micro-organisms influence melting of the Arctic pack ice?, EOS T. Am. Geophys. Un., 85, 25–36, 2004.
Loewe, K., Ekman, A. M. L., Paukert, M., Sedlar, J., Tjernström, M., and Hoose, C.: Modelling micro- and macrophysical contributors to the dissipation of an Arctic mixed-phase cloud during the Arctic Summer Cloud Ocean Study (ASCOS), Atmos. Chem. Phys., 17, 6693–6704, https://doi.org/10.5194/acp-17-6693-2017, 2017.
Martin, M., Chang, R. Y.-W., Sierau, B., Sjogren, S., Swietlicki, E., Abbatt, J. P. D., Leck, C., and Lohmann, U.: Cloud condensation nuclei closure study on summer arctic aerosol, Atmos. Chem. Phys., 11, 11335–11350, https://doi.org/10.5194/acp-11-11335-2011, 2011.
Mauritsen, T., Sedlar, J., Tjernström, M., Leck, C., Martin, M., Shupe, M., Sjogren, S., Sierau, B., Persson, P. O. G., Brooks, I. M., and Swietlicki, E.: An Arctic CCN-limited cloud-aerosol regime, Atmos. Chem. Phys., 11, 165–173, https://doi.org/10.5194/acp-11-165-2011, 2011.
Meyers, M. P., Walko, R. L., Harrington, J. Y., and Cotton, W. R.: New RAMS
cloud microphysics parameterization. Part II: The two-moment scheme, Atmos.
Res., 45, 3–39, https://doi.org/10.1016/S0169-8095(97)00018-5, 1997.
Mitchell, D. L.: Use of mass and area-dimensional power laws for determining
precipitation particle terminal velocities, J. Atmos. Sci, 53,
1710–1723, https://doi.org/10.1175/1520-0469(1996)053<1710:UOMAAD>2.0.CO;2, 1996.
Morrison, H. and Grabowski, W.: Modeling supersaturation and subgrid-scale
mixing with two-moment bulk warm microphysics, J. Atmos. Sci., 65,
792–812, https://doi.org/10.1175/2007JAS2374.1, 2008.
Morrison, H., De Boer, G., Feingold, G., Harrington, J., Shupe, M. D., and
Sulia, K.: Resilience of persistent Arctic mixed-phase clouds, Nat. Geosci.,
5, 11–17, https://doi.org/10.1038/ngeo1332, 2012.
Nguyen, Q. T., Glasius, M., Sørensen, L. L., Jensen, B., Skov, H., Birmili, W., Wiedensohler, A., Kristensson, A., Nøjgaard, J. K., and Massling, A.: Seasonal variation of atmospheric particle number concentrations, new particle formation and atmospheric oxidation capacity at the high Arctic site Villum Research Station, Station Nord, Atmos. Chem. Phys., 16, 11319–11336, https://doi.org/10.5194/acp-16-11319-2016, 2016.
Ovadnevaite, J., Zuend, A., Laaksonen, A., Sanchez, K. J., Roberts, G.,
Ceburnis, D., Decesari, S., Rinaldi, M., Hodas, N., Facchini, M. C.,
Seinfeld, J. H., and O'Down, C.: Surface tension prevails over solute
effect in organic-influenced cloud droplet activation, Nature, 546, 637–641,
https://doi.org/10.1038/nature22806, 2017.
Ovchinnikov, M., Korolev, A., and Fan, J.: Effects of ice number
concentration on dynamics of a shallow mixed-phase stratiform cloud, J.
Geophys. Res.-Atmos., 116, 1–15, https://doi.org/10.1029/2011JD015888, 2011.
Ovchinnikov, M., Ackerman, A. S., Avramov, A., Cheng, A., Fan, J., Fridlind,
A. M., Ghan, S., Harrington, J., Hoose, C., Korolev, A., McFarquhar, G. M.,
Morrison, H., Pauk-ert, M., Savre, J., Shipway, B. J., Shupe, M. D.,
Solomon, A., and Sulia, K.: Intercomparison of large-eddy simulations of
Arctic mixed-phase clouds: Importance of ice size distribution assumptions,
J. Adv. Model. Earth Sy., 6, 223–248, https://doi.org/10.1002/2013MS000282, 2014.
Persson, P. O. G., Shupe, M. D., Perovich, D., and Solomon, A.: Linking
atmospheric synoptic transport, cloud phase, surface energy fluxes, and
sea-ice growth: observations of midwinter SHEBA conditions, Clim.
Dyn., 49, 1341–1364, https://doi.org/10.1007/s00382-016-3383-1, 2017.
Petters, M. D. and Kreidenweis, S. M.: A single parameter representation of hygroscopic growth and cloud condensation nucleus activity, Atmos. Chem. Phys., 7, 1961–1971, https://doi.org/10.5194/acp-7-1961-2007, 2007.
Possner, A., Ekman, A. M. L., Lohmann, U.: Cloud response and feedback
processes in stratiform mixed-phase clouds perturbed by ship exhaust,
Geophys. Res. Lett., 44, 1964–1972, https://doi.org/10.1002/2016GL071358, 2017.
Pruppacher, H. R. and Klett, J. D.: Microphysics of Clouds and
Precipitation, Kluwer Acad., Norwell, Mass., 442–443 (chap. 10), 1997.
Rastak, N., Pajunoja, A., Acosta Navarro, J. C., Ma, J., Song, M.,
Partridge, D. G., Kirkevåg, A, Leong, Y., Hu, W. W, Taylor, N. F.,
Lambe, A., Cerully, K., Bougiatioti, A., Liu, P., Krejci, R.,
Petäjä, T., Percival, C., Davidovits, P., Worsnop, D. R., Ekman, A.
M. L., Nenes, A., Martin, S., Jimenez, J. L., Collins, D. R., Topping D.O.,
Bertram A. K., Zuend, A., Virtanen, A., and Riipinen I.: Microphysical
explanation of the RH-dependent water affinity of biogenic organic aerosol
and its importance for climate, Geophys. Res. Lett., 44, 5167–5177,
https://doi.org/10.1002/2017GL073056, 2017.
Saleeby, S. M. and van den Heever, S. C.: Developments in the CSU-RAMS
Aerosol Model: Emissions, Nucleation, Regeneration, Deposition, and
Radiation, J. Appl. Meteorol. Climatol., 52, 2601–2622, https://doi.org/10.1175/JAMC-D-12-0312.1, 2013.
Savre, J. and Ekman, A. M. L.: Large-eddy simulation of three mixed-phase
cloud events during ISDAC: Conditions for persistent heterogeneous ice
formation, J. Geophys. Res.-Atmos., 120, 7699–7725,
https://doi.org/10.1002/2014JD023006, 2015.
Savre, J., Ekman, A. M. L., and Svensson, G.: Technical note: Introduction
to MIMICA, a large-eddy simulation solver for cloudy planetary boundary
layers, J. Adv. Model. Earth Sy., 6, 630–649,
https://doi.org/10.1002/2013MS000292 , 2014.
Sedlar, J. and Shupe, M. D.: Characteristic nature of vertical motions observed in Arctic mixed-phase stratocumulus, Atmos. Chem. Phys., 14, 3461–3478, https://doi.org/10.5194/acp-14-3461-2014, 2014.
Sedlar, J., Tjernström, M., Mauritsen, T., Shupe, M. D., Brooks, I. M.,
Persson, P. O. G., Birch, C. E., Leck, C., Sirevaag, A., and Nicolaus, M.: A
transitioning Arctic surface energy budget: the impacts of solar zenith
angle, surface albedo and cloud radiative forcing, Clim. Dyn.,
37, 1643–1660, https://doi.org/10.1007/s00382-010-0937-5,
2011.
Sedlar, J., Shupe, M. D., and Tjernström, M.: On the relationship
between thermodynamic structure and cloud top, and its climate significance
in the Arctic, J. Climate, 25, 2374–2393, https://doi.org/10.1007/s00382-010-0937-5, 2012.
Seifert, A. and Beheng, K. D.: A double-moment perameterization for
simulating autoconversion, accretion and selfcollection., Atmos. Res.,
59–60, 265–281, https://doi.org/10.1016/S0169-8095(01)00126-0,
2001.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric chemistry and
physics: From Air pollution to climate change, Wiley, Hoboken, N.J, 2006.
Serreze, M. C. and Barry, R. G.: Processes and impacts of Arctic
amplification: A research synthesis, Global Planet. Change, 77,
85–96, https://doi.org/10.1016/j.gloplacha.2011.03.004, 2011.
Shupe, M. D. and Intrieri, J. M.: Cloud radiative forcing of the Arctic
surface: The influence of cloud properties, surface albedo, and solar zenith
angle, J. Climate, 17, 616–628, https://doi.org/10.1175/1520-0442(2004)017<0616:CRFOTA>2.0.CO;2, 2004.
Shupe, M. D., Matrosov, S. Y., and Uttal, T.: Arctic mixed-phase cloud
properties derived from surface-based sensors at SHEBA, J. Atmos. Sci., 63,
697–711, https://doi.org/10.1175/JAS3659.1, 2006.
Shupe, M. D., Kollias, P., Persson, P. O. G., and McFarquhar, G. M.:
Vertical motions in Arctic mixed-phase stratiform clouds, J. Atmos.
Sci., 65, 1304–1322, https://doi.org/10.1175/2007JAS2479.1,
2008.
Shupe, M. D., Persson, P. O. G., Brooks, I. M., Tjernström, M., Sedlar, J., Mauritsen, T., Sjogren, S., and Leck, C.: Cloud and boundary layer interactions over the Arctic sea ice in late summer, Atmos. Chem. Phys., 13, 9379–9399, https://doi.org/10.5194/acp-13-9379-2013, 2013.
Solomon, A., Shupe, M. D., Persson, P. O. G., and Morrison, H.: Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion, Atmos. Chem. Phys., 11, 10127–10148, https://doi.org/10.5194/acp-11-10127-2011, 2011.
Solomon, A, Shupe M. D., Persson, O., Morrison, H., Yamaguchi, T., Caldwell,
P. M., and de Boer, G.: The sensitivity of springtime Arctic mixed-phase
stratocumulus clouds to surface-layer and cloud-top inversion-layer moisture
sources, J. Atmos. Sci., 71, 574–595,
https://doi.org/10.1175/JAS-D-13-0179.1, 2014.
Solomon, A., de Boer, G., Creamean, J. M., McComiskey, A., Shupe, M. D., Maahn, M., and Cox, C.: The relative impact of cloud condensation nuclei and ice nucleating particle concentrations on phase partitioning in Arctic mixed-phase stratocumulus clouds, Atmos. Chem. Phys., 18, 17047–17059, https://doi.org/10.5194/acp-18-17047-2018, 2018.
Sotiropoulou, G., Sullivan, S., Savre, J., Lloyd, G., Lachlan-Cope, T., Ekman, A. M. L., and Nenes, A.: The impact of secondary ice production on Arctic stratocumulus, Atmos. Chem. Phys., 20, 1301–1316, https://doi.org/10.5194/acp-20-1301-2020, 2020.
Stevens, B., Moeng, C-H., Ackerman, A. S., Bretherton, C. S., Chlond, A., de
Roode, S., Edwards, J., Golaz, J-C., Jlang, H., Khairoutdinov, M.,
Kirkpatrick, M. P., Lewellen, D. C., Lock, A., Müller, F., Stevens, D.
E., Whelen, E., and Zhu, P.: Evaluation of large eddy simulations via
observations of nocturnal marine stratocumulus, Mon. Weather Rev.,
133, 1443–1462, https://doi.org/10.1175/MWR2930.1, 2005.
Stevens, R. G., Loewe, K., Dearden, C., Dimitrelos, A., Possner, A., Eirund, G. K., Raatikainen, T., Hill, A. A., Shipway, B. J., Wilkinson, J., Romakkaniemi, S., Tonttila, J., Laaksonen, A., Korhonen, H., Connolly, P., Lohmann, U., Hoose, C., Ekman, A. M. L., Carslaw, K. S., and Field, P. R.: A model intercomparison of CCN-limited tenuous clouds in the high Arctic, Atmos. Chem. Phys., 18, 11041–11071, https://doi.org/10.5194/acp-18-11041-2018, 2018.
Stjern, C. W., Lund, M. T., Samset, B. H., Myhre, G., Forster, P. M.,
Andrews, T., Boucher, O., Faluvegi, G., Fläschner, D., Iversen, T.,
Kasoar, M., Kharin, V., Kirkevåg, A., Lamarque, J., Olivié, D.,
Richardson, T., Sand, M., Shawki, D., Shindell, D., Smith, C. J., Takemura,
T., and Voulgarakis, A.: Arctic amplification response to individual climate
drivers, J. Geophys. Res.-Atmos., 124, 6698–6717, https://doi.org/10.1029/2018JD029726, 2019.
Stuecker, M. F., Bitz, C. M., Armour, K. C., Proistosescu, C., Kang, S. M.,
Xie, S.-P., Kim, D., McGregor, S., Zhang, W., Zhao, S., Cai, W., Dong, Y.,
and Jin, F.-F.: Polar amplification dominated by local forcing and
feedbacks, Nat. Clim. Change, 8, 1076–1081, https://doi.org/10.1038/s41558-018-0339-y, 2018.
Tjernström, M.: Is there a diurnal cycle in the summer cloud-capped
Arctic boundary layer?, J. Atmos. Sci., 64, 3970–3986, https://doi.org/10.1175/2007JAS2257.1, 2007.
Tjernström, M., Žager, M., Svensson, G., Cassano, J. J, Pfeifer, S.,
Rinke, A., Wyser, K., Dethloff, K., Jones, C., Semmler, T., and Shaw, M.:
Modelling the Arctic boundary layer: An evaluation of six Arcmip
regional-scale models using data from the Sheba project, Bound.-Lay.
Meteorol., 117, 337–381, https://doi.org/10.1007/s10546-004-7954-z, 2005.
Tjernström, M., Birch, C. E., Brooks, I. M., Shupe, M. D., Persson, P. O. G., Sedlar, J., Mauritsen, T., Leck, C., Paatero, J., Szczodrak, M., and Wheeler, C. R.: Meteorological conditions in the central Arctic summer during the Arctic Summer Cloud Ocean Study (ASCOS), Atmos. Chem. Phys., 12, 6863–6889, https://doi.org/10.5194/acp-12-6863-2012, 2012.
Tjernström, M., Leck, C., Birch, C. E., Bottenheim, J. W., Brooks, B. J., Brooks, I. M., Bäcklin, L., Chang, R. Y.-W., de Leeuw, G., Di Liberto, L., de la Rosa, S., Granath, E., Graus, M., Hansel, A., Heintzenberg, J., Held, A., Hind, A., Johnston, P., Knulst, J., Martin, M., Matrai, P. A., Mauritsen, T., Müller, M., Norris, S. J., Orellana, M. V., Orsini, D. A., Paatero, J., Persson, P. O. G., Gao, Q., Rauschenberg, C., Ristovski, Z., Sedlar, J., Shupe, M. D., Sierau, B., Sirevaag, A., Sjogren, S., Stetzer, O., Swietlicki, E., Szczodrak, M., Vaattovaara, P., Wahlberg, N., Westberg, M., and Wheeler, C. R.: The Arctic Summer Cloud Ocean Study (ASCOS): overview and experimental design, Atmos. Chem. Phys., 14, 2823–2869, https://doi.org/10.5194/acp-14-2823-2014, 2014.
Tjernström, M., Shupe, M. D., Brooks, I. M., Persson, P. O. G.,
Prytherch, J., Salisbury, D. J., Sedlar, J., Achtert, P., Brooks, B. J.,
Johnston, P. E., Sotiropoulou, G., and Wolfe, D.: Warm-air advection, air
mass transformation and fog causes rapid ice melt, Geophys. Res. Lett., 42,
5594–5602, https://doi.org/10.1002/2015GL064373, 2015.
Tunved, P., Ström, J., and Krejci, R.: Arctic aerosol life cycle: linking aerosol size distributions observed between 2000 and 2010 with air mass transport and precipitation at Zeppelin station, Ny-Ålesund, Svalbard, Atmos. Chem. Phys., 13, 3643–3660, https://doi.org/10.5194/acp-13-3643-2013, 2013.
Walko, R. L., Cotton, W. R., Feingold, G., and Stevens, B.: Efficient
computation of vapor and heat diffusion between hydrometeors in a numerical
model, Atmos. Res., 53, 171–183, https://doi.org/10.1016/S0169-8095(99)00044-7, 2000.
Wiedensohler, A., Covert, D. S., Swietlicki, E., Aalto, P. P., Heintzenberg,
J., and Leck, C.: Occurrence of an ultrafine particle mode less than 20 nm
in diameter in the marine boundary layer during Arctic summer and autumn,
Tellus B, 48, 213–222, https://doi.org/10.3402/tellusb.v48i2.15887, 1996.
Willis, M. D., Burkart, J., Thomas, J. L., Köllner, F., Schneider, J., Bozem, H., Hoor, P. M., Aliabadi, A. A., Schulz, H., Herber, A. B., Leaitch, W. R., and Abbatt, J. P. D.: Growth of nucleation mode particles in the summertime Arctic: a case study, Atmos. Chem. Phys., 16, 7663–7679, https://doi.org/10.5194/acp-16-7663-2016, 2016.
Yang, F., McGraw, R., Luke, E. P., Zhang, D., Kollias, P., and Vogelmann, A. M.: A new approach to estimate supersaturation fluctuations in stratocumulus cloud using ground-based remote-sensing measurements, Atmos. Meas. Tech., 12, 5817–5828, https://doi.org/10.5194/amt-12-5817-2019, 2019.
Short summary
We use detailed numerical modelling to show that small aerosol particles (diameters ~25–80 nm; so-called Aitken mode particles) significantly influence low-level cloud properties in the clean summertime high Arctic. The small particles can help sustain clouds when the concentration of larger particles is low (<10–20 cm-3). Measurements from four different observational campaigns in the high Arctic support the modelling results as they indicate that Aitken mode aerosols are frequently activated.
We use detailed numerical modelling to show that small aerosol particles (diameters ~25–80 nm;...
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