Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2305-2021
© 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-21-2305-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Feb 2021
Research article |
| 17 Feb 2021
| 17 Feb 2021
Effects of marine organic aerosols as sources of immersion-mode ice-nucleating particles on high-latitude mixed-phase clouds
Department of Atmospheric Sciences, Texas A&M University, College Station, Texas 77840, USA
Xiaohong Liu
CORRESPONDING AUTHOR
Department of Atmospheric Sciences, Texas A&M University, College Station, Texas 77840, USA
Susannah M. Burrows
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA
Yang Shi
Department of Atmospheric Sciences, Texas A&M University, College Station, Texas 77840, USA
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Mengjiao Jiang, Yaoting Li, Weiji Hu, Yinshan Yang, Guy Brasseur, and Xi Zhao
Atmos. Chem. Phys., 23, 4545–4557, https://doi.org/10.5194/acp-23-4545-2023, https://doi.org/10.5194/acp-23-4545-2023, 2023
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Chengzhu Zhang, Jean-Christophe Golaz, Ryan Forsyth, Tom Vo, Shaocheng Xie, Zeshawn Shaheen, Gerald L. Potter, Xylar S. Asay-Davis, Charles S. Zender, Wuyin Lin, Chih-Chieh Chen, Chris R. Terai, Salil Mahajan, Tian Zhou, Karthik Balaguru, Qi Tang, Cheng Tao, Yuying Zhang, Todd Emmenegger, Susannah Burrows, and Paul A. Ullrich
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Kai Zhang, Wentao Zhang, Hui Wan, Philip J. Rasch, Steven J. Ghan, Richard C. Easter, Xiangjun Shi, Yong Wang, Hailong Wang, Po-Lun Ma, Shixuan Zhang, Jian Sun, Susannah M. Burrows, Manish Shrivastava, Balwinder Singh, Yun Qian, Xiaohong Liu, Jean-Christophe Golaz, Qi Tang, Xue Zheng, Shaocheng Xie, Wuyin Lin, Yan Feng, Minghuai Wang, Jin-Ho Yoon, and L. Ruby Leung
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Susannah M. Burrows, Richard C. Easter, Xiaohong Liu, Po-Lun Ma, Hailong Wang, Scott M. Elliott, Balwinder Singh, Kai Zhang, and Philip J. Rasch
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Yang Shi, Xiaohong Liu, Mingxuan Wu, Xi Zhao, Ziming Ke, and Hunter Brown
Atmos. Chem. Phys., 22, 2909–2935, https://doi.org/10.5194/acp-22-2909-2022, https://doi.org/10.5194/acp-22-2909-2022, 2022
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We perform a modeling study to evaluate the contribution to Arctic dust loading and ice-nucleating particle (INP) population from high-latitude local and low-latitude dust. High-latitude dust has a large contribution in the lower troposphere, while low-latitude dust dominates the upper troposphere. The high-latitude dust INPs result in a net cooling effect on the Arctic surface by glaciating mixed-phase clouds. Our results highlight the contribution of high-latitude dust to the Arctic climate.
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Atmos. Chem. Phys., 22, 2585–2600, https://doi.org/10.5194/acp-22-2585-2022, https://doi.org/10.5194/acp-22-2585-2022, 2022
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Ka Ming Fung, Colette L. Heald, Jesse H. Kroll, Siyuan Wang, Duseong S. Jo, Andrew Gettelman, Zheng Lu, Xiaohong Liu, Rahul A. Zaveri, Eric C. Apel, Donald R. Blake, Jose-Luis Jimenez, Pedro Campuzano-Jost, Patrick R. Veres, Timothy S. Bates, John E. Shilling, and Maria Zawadowicz
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Understanding the natural aerosol burden in the preindustrial era is crucial for us to assess how atmospheric aerosols affect the Earth's radiative budgets. Our study explores how a detailed description of dimethyl sulfide (DMS) oxidation (implemented in the Community Atmospheric Model version 6 with chemistry, CAM6-chem) could help us better estimate the present-day and preindustrial concentrations of sulfate and other relevant chemicals, as well as the resulting aerosol radiative impacts.
Isabelle Steinke, Paul J. DeMott, Grant B. Deane, Thomas C. J. Hill, Mathew Maltrud, Aishwarya Raman, and Susannah M. Burrows
Atmos. Chem. Phys., 22, 847–859, https://doi.org/10.5194/acp-22-847-2022, https://doi.org/10.5194/acp-22-847-2022, 2022
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Over the oceans, sea spray aerosol is an important source of particles that may initiate the formation of cloud ice, which then has implications for the radiative properties of marine clouds. In our study, we focus on marine biogenic particles that are emitted episodically and develop a numerical framework to describe these emissions. We find that further cloud-resolving model studies and targeted observations are needed to fully understand the climate impacts from marine biogenic particles.
Zhonghua Zheng, Matthew West, Lei Zhao, Po-Lun Ma, Xiaohong Liu, and Nicole Riemer
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Aerosol mixing state is an important emergent property that affects aerosol radiative forcing and aerosol–cloud interactions, but it has not been easy to constrain this property globally. We present a framework for evaluating the error in aerosol mixing state induced by aerosol representation assumptions, which is one of the important contributors to structural uncertainty in aerosol models. Our study provides insights into potential improvements to model process representation for aerosols.
Xi Zhao, Xiaohong Liu, Vaughan T. J. Phillips, and Sachin Patade
Atmos. Chem. Phys., 21, 5685–5703, https://doi.org/10.5194/acp-21-5685-2021, https://doi.org/10.5194/acp-21-5685-2021, 2021
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James Keeble, Birgit Hassler, Antara Banerjee, Ramiro Checa-Garcia, Gabriel Chiodo, Sean Davis, Veronika Eyring, Paul T. Griffiths, Olaf Morgenstern, Peer Nowack, Guang Zeng, Jiankai Zhang, Greg Bodeker, Susannah Burrows, Philip Cameron-Smith, David Cugnet, Christopher Danek, Makoto Deushi, Larry W. Horowitz, Anne Kubin, Lijuan Li, Gerrit Lohmann, Martine Michou, Michael J. Mills, Pierre Nabat, Dirk Olivié, Sungsu Park, Øyvind Seland, Jens Stoll, Karl-Hermann Wieners, and Tongwen Wu
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Stratospheric ozone and water vapour are key components of the Earth system; changes to both have important impacts on global and regional climate. We evaluate changes to these species from 1850 to 2100 in the new generation of CMIP6 models. There is good agreement between the multi-model mean and observations, although there is substantial variation between the individual models. The future evolution of both ozone and water vapour is strongly dependent on the assumed future emissions scenario.
Ryan Patnaude, Minghui Diao, Xiaohong Liu, and Suqian Chu
Atmos. Chem. Phys., 21, 1835–1859, https://doi.org/10.5194/acp-21-1835-2021, https://doi.org/10.5194/acp-21-1835-2021, 2021
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A comprehensive, in situ observation dataset of cirrus clouds was developed based on seven field campaigns, ranging from 87° N–75° S. The observations were compared with a global climate model. Several key factors for cirrus cloud formation were examined, including thermodynamics, dynamics, aerosol indirect effects and geographical locations. Model biases include lower ice mass concentrations, smaller ice crystals and weaker aerosol indirect effects.
Mingxuan Wu, Xiaohong Liu, Hongbin Yu, Hailong Wang, Yang Shi, Kang Yang, Anton Darmenov, Chenglai Wu, Zhien Wang, Tao Luo, Yan Feng, and Ziming Ke
Atmos. Chem. Phys., 20, 13835–13855, https://doi.org/10.5194/acp-20-13835-2020, https://doi.org/10.5194/acp-20-13835-2020, 2020
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The spatiotemporal distributions of dust aerosol simulated by global climate models (GCMs) are highly uncertain. In this study, we evaluate dust extinction profiles, optical depth, and surface concentrations simulated in three GCMs and one reanalysis against multiple satellite retrievals and surface observations to gain process-level understanding. Our results highlight the importance of correctly representing dust emission, dry/wet deposition, and size distribution in GCMs.
Stefan Rahimi, Xiaohong Liu, Chun Zhao, Zheng Lu, and Zachary J. Lebo
Atmos. Chem. Phys., 20, 10911–10935, https://doi.org/10.5194/acp-20-10911-2020, https://doi.org/10.5194/acp-20-10911-2020, 2020
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Dark particles emitted to the atmosphere can absorb sunlight and heat the air. As these particles settle, they may darken the surface, especially over snow-covered regions like the Rocky Mountains. This darkening of the surface may lead to changes in snowpack, affecting the local meteorology and hydrology. We seek to evaluate whether these light-absorbing particles more prominently affect this region through their atmospheric presence or their on-snow presence.
Cited articles
Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation
2. Multiple aerosol types, J. Geophys. Res.-Atmos., 105,
6837–6844, https://doi.org/10.1029/1999JD901161, 2000.
Alpert, P. A., Kilthau, W. P., Bothe, D. W., Radway, J. A. C., Aller, J. Y.,
and Knopf, D. A.: The influence of marine microbial activities on aerosol
production: A laboratory mesocosm study, J. Geophys. Res.,
120, 8841–8860, https://doi.org/10.1002/2015JD023469, 2015.
Ault, A. P., Moffet, R. C., Baltrusaitis, J., Collins, D. B., Ruppel, M. J.,
Cuadra-Rodriguez, L. A., Zhao, D., Guasco, T. L., Ebben, C. J., Geiger, F.
M., Bertram, T. H., Prather, K. A., and Grassian, V. H.: Size-dependent
changes in sea spray aerosol composition and properties with different
seawater conditions, Environ. Sci. Technol., 47,
5603–5612, https://doi.org/10.1021/es400416g, 2013.
Bates, T. S., Quinn, P. K., Coffman, D. J., Johnson, J. E., Upchurch, L.,
Saliba, G., Lewis, S., Graff, J., Russell, L. M., and Behrenfeld, M. J.:
Variability in Marine Plankton Ecosystems Are Not Observed in Freshly
Emitted Sea Spray Aerosol Over the North Atlantic Ocean, Geophys. Res. Lett.,
47, e2019GL085938, https://doi.org/10.1029/2019GL085938, 2020.
Burrows, S. M., Ogunro, O., Frossard, A. A., Russell, L. M., Rasch, P. J., and Elliott, S. M.: A physically based framework for modeling the organic fractionation of sea spray aerosol from bubble film Langmuir equilibria, Atmos. Chem. Phys., 14, 13601–13629, https://doi.org/10.5194/acp-14-13601-2014, 2014.
Burrows, S. M., Easter, R., Liu, X., Ma, P.-L., Wang, H., Elliott, S. M., Singh, B., Zhang, K., and Rasch, P. J.: OCEANFILMS sea-spray organic aerosol emissions – Part 1: implementation and impacts on clouds, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2018-70, in review, 2018.
Ceburnis, D., O'Dowd, C. D., Jennings, G. S., Facchini, M. C., Emblico, L.,
Decesari, S., Fuzzi, S., and Sakalys, J.: Marine aerosol chemistry
gradients: Elucidating primary and secondary processes and fluxes, Geophys.
Res. Lett., 35, L07804, https://doi.org/10.1029/2008GL033462, 2008.
Christiansen, S., Salter, M. E., Gorokhova, E., Nguyen, Q. T., and Bilde,
M.: Sea Spray Aerosol Formation: Laboratory Results on the Role of Air
Entrainment, Water Temperature, and Phytoplankton Biomass, Environ.
Sci. Technol., 53, 13107–13116, https://doi.org/10.1021/acs.est.9b04078, 2019.
Creamean, J. M., Kirpes, R. M., Pratt, K. A., Spada, N. J., Maahn, M., de Boer, G., Schnell, R. C., and China, S.: Marine and terrestrial influences on ice nucleating particles during continuous springtime measurements in an Arctic oilfield location, Atmos. Chem. Phys., 18, 18023–18042, https://doi.org/10.5194/acp-18-18023-2018, 2018.
Cullen, J. J.: The Deep Chlorophyll Maximum: Comparing Vertical Profiles of
Chlorophyll a, Can. J. Fish. Aquat. Sci., 39,
791–803, https://doi.org/10.1139/f82-108, 1982.
D'Alessandro, J. J., Diao, M., Wu, C., Liu, X., Jensen, J. B., and Stephens,
B. B.: Cloud phase and relative humidity distributions over the Southern
Ocean in austral summer based on in situ observations and CAM5 simulations,
J. Climate, 32, 2781–2805, https://doi.org/10.1175/JCLI-D-18-0232.1, 2019.
Danabasoglu, G., Lamarque, J. F., Bacmeister, J., Bailey, D. A., DuVivier, A. K., Edwards, J., Emmons, L. K., Fasullo, J., Garcia, R., Gettelman, A., Hannay, C., Holland, M. M., Large, W. G., Lauritzen, P. H., Lawrence, D. M., Lenaerts, J. T. M., Lindsay, K., Lipscomb, W. H., Mills, M. J., Neale, R., Oleson, K. W., Otto-Bliesner, B., Phillips, A. S., Sacks, W., Tilmes, S., van Kampenhout, L., Vertenstein, M., Bertini, A., Dennis, J., Deser, C., Fischer, C., Fox-Kemper, B., Kay, J. E., Kinnison, D., Kushner, P. J., Larson, V. E., Long, M. C., Mickelson, S., Moore, J. K., Nienhouse, E., Polvani, L., Rasch, P. J., and Strand, W. G.: The Community Earth System Model Version 2 (CESM2), J. Adv. Model. Earth Syst., 12, e2019MS001916, https://doi.org/10.1029/2019MS001916, 2020 (code available at: http://www.cesm.ucar.edu/models/cesm2, last access: 3 February 2021).
DeMott, P. J., Prenni, A. J., McMeeking, G. R., Sullivan, R. C., Petters, M. D., Tobo, Y., Niemand, M., Möhler, O., Snider, J. R., Wang, Z., and Kreidenweis, S. M.: Integrating laboratory and field data to quantify the immersion freezing ice nucleation activity of mineral dust particles, Atmos. Chem. Phys., 15, 393–409, https://doi.org/10.5194/acp-15-393-2015, 2015.
DeMott, P. J., Hill, T. C. J., McCluskey, C. S., Prather, K. A., Collins, D.
B., Sullivan, R. C., Ruppel, M. J., Mason, R. H., Irish, V. E., Lee, T.,
Hwang, C. Y., Rhee, T. S., Snider, J. R., McMeeking, G. R., Dhaniyala, S.,
Lewis, E. R., Wentzell, J. J. B., Abbatt, J., Lee, C., Sultana, C. M., Ault,
A. P., Axson, J. L., Martinez, M. D., Venero, I., Santos-Figueroa, G.,
Stokes, M. D., Deane, G. B., Mayol-Bracero, O. L., Grassian, V. H., Bertram,
T. H., Bertram, A. K., Moffett, B. F., and Franc, G. D.: Sea spray aerosol
as a unique source of ice nucleating particles, P. Natl. Acad. Sci. USA, 113,
5797–5803, 2016.
Facchini, M. C., Rinaldi, M., Decesari, S., Carbone, C., Finessi, E.,
Mircea, M., Fuzzi, S., Ceburnis, D., Flanagan, R., Nilsson, E. D., de Leeuw,
G., Martino, M., Woeltjen, J., and O'Dowd, C. D.: Primary submicron marine
aerosol dominated by insoluble organic colloids and aggregates, Geophys. Res.
Lett., 35, L17814, https://doi.org/10.1029/2008GL034210, 2008.
Field, P. R., Lawson, R. P., Brown, P. R. A., Lloyd, G., Westbrook, C.,
Moisseev, D., Miltenberger, A., Nenes, A., Blyth, A., Choularton, T.,
Connolly, P., Buehl, J., Crosier, J., Cui, Z., Dearden, C., DeMott, P.,
Flossmann, A., Heymsfield, A., Huang, Y., Kalesse, H., Kanji, Z. A.,
Korolev, A., Kirchgaessner, A., Lasher-Trapp, S., Leisner, T., McFarquhar,
G., Phillips, V., Stith, J., and Sullivan, S.: Secondary Ice
Production – current state of the science and recommendations for the
future, Meteorological Monographs, 58, 7.1–7.20,
https://doi.org/10.1175/amsmonographs-d-16-0014.1, 2016.
Forestieri, S. D., Moore, K. A., Martinez Borrero, R., Wang, A., Stokes, M.
D., and Cappa, C. D.: Temperature and Composition Dependence of Sea Spray
Aerosol Production, Geophys. Res. Lett., 45, 7218–7225, https://doi.org/10.1029/2018GL078193,
2018.
Gantt, B., Meskhidze, N., Facchini, M. C., Rinaldi, M., Ceburnis, D., and O'Dowd, C. D.: Wind speed dependent size-resolved parameterization for the organic mass fraction of sea spray aerosol, Atmos. Chem. Phys., 11, 8777–8790, https://doi.org/10.5194/acp-11-8777-2011, 2011.
Gardner, W. D., Mishonov, A., and Richardson, M. J.: Global POC
concentrations from in-situ and satellite data, Deep-Sea Res., 53,
718–740, 2006.
Gettelman, A. and Morrison, H.: Advanced Two-Moment Bulk Microphysics for
Global Models. Part I: Off-Line Tests and Comparison with Other Schemes,
J. Climate, 28, 1268–1287, 2015.
Golaz, J. C., Larson, V. E., and Cotton, W. R.: A PDF-based model for boundary layer clouds. Part I: Method and model description, J. Atmos. Sci., 59, 3540–3551, https://doi.org/10.1175/1520-0469(2002)059<3540:APBMFB>2.0.CO;2, 2002.
Golaz, J.-C., Caldwell, P. M., Van Roekel, L. P., Petersen, M. R., Tang, Q.,
Wolfe, J. D., Abeshu, G., Anantharaj, V., Asay-Davis, X. S., Bader, D. C.,
Baldwin, S. A., Bisht, G., Bogenschutz, P. A., Branstetter, M., Brunke, M.
A., Brus, S. R., Burrows, S. M., Cameron-Smith, P. J., Donahue, A. S.,
Deakin, M., Easter, R. C., Evans, K. J., Feng, Y., Flanner, M., Foucar, J.
G., Fyke, J. G., Griffin, B. M., Hannay, C., Harrop, B. E., Hoffman, M. J.,
Hunke, E. C., Jacob, R. L., Jacobsen, D. W., Jeffery, N., Jones, P. W.,
Keen, N. D., Klein, S. A., Larson, V. E., Leung, L. R., Li, H. Y., Lin, W.,
Lipscomb, W. H., Ma, P. L., Mahajan, S., Maltrud, M. E., Mametjanov, A.,
McClean, J. L., McCoy, R. B., Neale, R. B., Price, S. F., Qian, Y., Rasch,
P. J., Reeves Eyre, J. E. J., Riley, W. J., Ringler, T. D., Roberts, A. F.,
Roesler, E. L., Salinger, A. G., Shaheen, Z., Shi, X., Singh, B., Tang, J.,
Taylor, M. A., Thornton, P. E., Turner, A. K., Veneziani, M., Wan, H., Wang,
H., Wang, S., Williams, D. N., Wolfram, P. J., Worley, P. H., Xie, S., Yang,
Y., Yoon, J. H., Zelinka, M. D., Zender, C. S., Zeng, X., Zhang, C., Zhang,
K., Zhang, Y., Zheng, X., Zhou, T., and Zhu, Q.: The DOE E3SM Coupled Model
Version 1: Overview and Evaluation at Standard Resolution, J.
Adv. Model. Earth Sy., 11, 2089-2129, https://doi.org/10.1029/2018MS001603,
2019.
Gong, S. L., Barrie, L. A., and Blanchet, J. P.: Modeling sea-salt aerosols in the atmosphere 1. Model development, J. Geophys. Res.-Atmos., 102, 3805–3818, https://doi.org/10.1029/96jd02953, 1997.
Hoose, C. and Möhler, O.: Heterogeneous ice nucleation on atmospheric aerosols: a review of results from laboratory experiments, Atmos. Chem. Phys., 12, 9817–9854, https://doi.org/10.5194/acp-12-9817-2012, 2012.
Hoose, C., Kristjánsson, J. E., and Burrows, S. M.: How important is
biological ice nucleation in clouds on a global scale?, Environ.
Res. Lett., 5, 024009, https://doi.org/10.1088/1748-9326/5/2/024009, 2010.
Huang, W. T. K., Ickes, L., Tegen, I., Rinaldi, M., Ceburnis, D., and Lohmann, U.: Global relevance of marine organic aerosol as ice nucleating particles, Atmos. Chem. Phys., 18, 11423–11445, https://doi.org/10.5194/acp-18-11423-2018, 2018.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases:
Calculations with the AER radiative transfer models, J. Geophys. Res.-Atmos.,
113, D13103, https://doi.org/10.1029/2008JD009944, 2008.
Jahn, L. G., Polen, M. J., Jahl, L. G., Brubaker, T. A., Somers, J., and
Sullivan, R. C.: Biomass combustion produces ice-active minerals in
biomass-burning aerosol and bottom ash, P. Natl. Acad.
Sci. USA, 117, 21928–21937,
https://doi.org/10.1073/pnas.1922128117, 2020.
Kanji, Z. A., Ladino, L. A., Wex, H., Boose, Y., Burkert-Kohn, M., Cziczo,
D. J., and Kramer, M.: Overview of Ice Nucleating Particles, Meteor. Mon., 58, 1.1–1.33,
https://doi.org/10.1175/Amsmonographs-D-16-0006.1, 2017.
Langmann, B., Scannell, C., and O'Dowd, C.: New Directions: Organic matter
contribution to marine aerosols and cloud condensation nuclei, Atmos.
Environ., 42, 7821–7822, 2008.
Larson, V. E., Golaz, J.-C., and Cotton, W. R.: Small-Scale and Mesoscale
Variability in Cloudy Boundary Layers: Joint Probability Density Functions,
J. Atmos. Sci., 59, 3519–3539,
https://doi.org/10.1175/1520-0469(2002)059<3519:SSAMVI>2.0.CO;2, 2002.
Lin, S. J. and Rood, R. B.: An explicit flux-form semi-Lagrangian
shallow-water model on the sphere, Q. J. Roy. Meteor. Soc., 123, 2477–2498, 1997.
Liu, X., Easter, R. C., Ghan, S. J., Zaveri, R., Rasch, P., Shi, X., Lamarque, J.-F., Gettelman, A., Morrison, H., Vitt, F., Conley, A., Park, S., Neale, R., Hannay, C., Ekman, A. M. L., Hess, P., Mahowald, N., Collins, W., Iacono, M. J., Bretherton, C. S., Flanner, M. G., and Mitchell, D.: Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere Model CAM5, Geosci. Model Dev., 5, 709–739, https://doi.org/10.5194/gmd-5-709-2012, 2012.
Liu, X., Ma, P.-L., Wang, H., Tilmes, S., Singh, B., Easter, R. C., Ghan, S. J., and Rasch, P. J.: Description and evaluation of a new four-mode version of the Modal Aerosol Module (MAM4) within version 5.3 of the Community Atmosphere Model, Geosci. Model Dev., 9, 505–522, https://doi.org/10.5194/gmd-9-505-2016, 2016.
Mårtensson, E. M., Nilsson, E. D., de Leeuw, G., Cohen, L. H., and Hansson, H. C.: Laboratory simulations and parameterization of the primary marine aerosol production, J. Geophys. Res.-Atmos., 108, 4297–4312, https://doi.org/10.1029/2002jd002263, 2003.
McCluskey, C. S., Hill, T. C. J., Humphries, R. S., Rauker, A. M., Moreau,
S., Strutton, P. G., Chambers, S. D., Williams, A. G., McRobert, I., Ward,
J., Keywood, M. D., Harnwell, J., Ponsonby, W., Loh, Z. M., Krummel, P. B.,
Protat, A., Kreidenweis, S. M., and DeMott, P. J.: Observations of Ice
Nucleating Particles Over Southern Ocean Waters, Geophys. Res. Lett., 45,
911989–911997, https://doi.org/10.1029/2018GL079981, 2018a.
McCluskey, C. S., Ovadnevaite, J., Rinaldi, M., Atkinson, J., Belosi, F.,
Ceburnis, D., Marullo, S., Hill, T. C. J., Lohmann, U., Kanji, Z. A.,
O'Dowd, C., Kreidenweis, S. M., and DeMott, P. J.: Marine and Terrestrial
Organic Ice-Nucleating Particles in Pristine Marine to Continentally
Influenced Northeast Atlantic Air Masses, J. Geophys. Res.-Atmos., 123,
6196–6212, 2018b.
McCluskey, C. S., DeMott, P. J., Ma, P. L., and Burrows, S. M.: Numerical
Representations of Marine Ice-Nucleating Particles in Remote Marine
Environments Evaluated Against Observations, Geophys. Res. Lett., 46,
7838–7847, https://doi.org/10.1029/2018gl081861, 2019.
Meskhidze, N., Xu, J., Gantt, B., Zhang, Y., Nenes, A., Ghan, S. J., Liu, X., Easter, R., and Zaveri, R.: Global distribution and climate forcing of marine organic aerosol: 1. Model improvements and evaluation, Atmos. Chem. Phys., 11, 11689–11705, https://doi.org/10.5194/acp-11-11689-2011, 2011.
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S.
A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated
correlated-k model for the longwave, J. Geophys. Res.-Atmos., 102, 16663–16682,
1997.
Monahan, E. C., Spiel, D. E., and Davidson, K. L.: A Model of Marine Aerosol Generation Via Whitecaps and Wave Disruption BT – Oceanic Whitecaps: And Their Role in Air-Sea Exchange Processes, edited by: Monahan, E. C. and Mac Niocaill, G., Springer Netherlands, 167–174, https://doi.org/10.1007/978-94-009-4668-2_16, 1986.
Murray, B. J., O'Sullivan, D., Atkinson, J. D., and Webb, M. E.: Ice
nucleation by particles immersed in supercooled cloud droplets, Chem. Soc.
Rev., 41, 6519–6554, https://doi.org/10.1039/c2cs35200a, 2012.
Niemand, M., Möhler, O., Vogel, B., Vogel, H., Hoose, C., Connolly, P.,
Klein, H., Bingemer, H., DeMott, P., Skrotzki, J., and Leisner, T.: A
Particle-Surface-Area-Based Parameterization of Immersion Freezing on Desert
Dust Particles, J. Atmos. Sci., 69, 3077–3092,
https://doi.org/10.1175/JAS-D-11-0249.1, 2012.
O'Dowd, C. D., Facchini, M. C., Cavalli, F., Ceburnis, D., Mircea, M.,
Decesari, S., Fuzzi, S., Yoon, Y. J., and Putaud, J. P.: Biogenically driven
organic contribution to marine aerosol, Nature, 431, 676–680, 2004.
O'Dowd, C. D., Langmann, B., Varghese, S., Scannell, C., Ceburnis, D., and
Facchini, M. C.: A combined organic-inorganic sea-spray source function,
Geophys. Res. Lett., 35, L01801, https://doi.org/10.1029/2007GL030331, 2008.
Prather, K. A., Bertram, T. H., Grassian, V. H., Deane, G. B., Stokes, M.
D., DeMott, P. J., Aluwihare, L. I., Palenik, B. P., Azam, F., Seinfeld, J.
H., Moffet, R. C., Molina, M. J., Cappa, C. D., Geiger, F. M., Roberts, G.
C., Russell, L. M., Ault, A. P., Baltrusaitis, J., Collins, D. B., Corrigan,
C. E., Cuadra-Rodriguez, L. A., Ebben, C. J., Forestieri, S. D., Guasco, T.
L., Hersey, S. P., Kim, M. J., Lambert, W. F., Modini, R. L., Mui, W.,
Pedler, B. E., Ruppel, M. J., Ryder, O. S., Schoepp, N. G., Sullivan, R. C.,
and Zhao, D.: Bringing the ocean into the laboratory to probe the chemical
complexity of sea spray aerosol, P. Natl. Acad. Sci. USA, 110, 7550–7555,
https://doi.org/10.1073/pnas.1300262110, 2013.
Quinn, P. K., Bates, T. S., Schulz, K. S., Coffman, D. J., Frossard, A. A.,
Russell, L. M., Keene, W. C., and Kieber, D. J.: Contribution of sea surface
carbon pool to organic matter enrichment in sea spray aerosol, Nat. Geosci.,
7, 228–232, https://doi.org/10.1038/ngeo2092, 2014.
Rasch, P. J., Xie, S., Ma, P. L., Lin, W., Wang, H., Tang, Q., Burrows, S.
M., Caldwell, P., Zhang, K., Easter, R. C., Cameron-Smith, P., Singh, B.,
Wan, H., Golaz, J. C., Harrop, B. E., Roesler, E., Bacmeister, J., Larson,
V. E., Evans, K. J., Qian, Y., Taylor, M., Leung, L. R., Zhang, Y., Brent,
L., Branstetter, M., Hannay, C., Mahajan, S., Mametjanov, A., Neale, R.,
Richter, J. H., Yoon, J. H., Zender, C. S., Bader, D., Flanner, M., Foucar,
J. G., Jacob, R., Keen, N., Klein, S. A., Liu, X., Salinger, A. G.,
Shrivastava, M., and Yang, Y.: An Overview of the Atmospheric Component of
the Energy Exascale Earth System Model, J. Adv. Model.
Earth Sy., 11, 2377–2411, https://doi.org/10.1029/2019MS001629, 2019.
Rastelli, E., Corinaldesi, C., Dell'anno, A., Lo Martire, M., Greco, S.,
Cristina Facchini, M., Rinaldi, M., O'Dowd, C., Ceburnis, D., and Danovaro,
R.: Transfer of labile organic matter and microbes from the ocean surface to
the marine aerosol: An experimental approach, Sci. Rep.-UK, 7, 1–10,
https://doi.org/10.1038/s41598-017-10563-z, 2017.
Rinaldi, M., Fuzzi, S., Decesari, S., Marullo, S., Santoleri, R.,
Provenzale, A., von Hardenberg, J., Ceburnis, D., Vaishya, A., O'Dowd, C.
D., and Facchini, M. C.: Is chlorophyll-a the best surrogate for organic
matter enrichment in submicron primary marine aerosol?, J. Geophys. Res.-Atmos.,
118, 4964–4973, 2013.
Saliba, G., Chen, C. L., Lewis, S., Russell, L. M., Rivellini, L. H., Lee,
A. K. Y., Quinn, P. K., Bates, T. S., Haëntjens, N., Boss, E. S.,
Karp-Boss, L., Baetge, N., Carlson, C. A., and Behrenfeld, M. J.: Factors
driving the seasonal and hourly variability of sea-spray aerosol number in
the North Atlantic, P. Natl. Acad. Sci. USA, 116, 20309–20314,
https://doi.org/10.1073/pnas.1907574116, 2019.
Schill, G. P., DeMott, P. J., Emerson, E. W., Rauker, A. M. C., Kodros, J.
K., Suski, K. J., Hill, T. C. J., Levin, E. J. T., Pierce, J. R., Farmer, D.
K., and Kreidenweis, S. M.: The contribution of black carbon to global ice
nucleating particle concentrations relevant to mixed-phase clouds,
P. Natl. Acad. Sci. USA, 117, 22705–22711, https://doi.org/10.1073/pnas.2001674117, 2020.
Schnell, R. C. and Vali, G.: Freezing nuclei in marine waters, Tellus, 27,
321–323, https://doi.org/10.3402/tellusa.v27i3.9911, 1975.
Sciare, J., Favez, O., Sarda-Esteve, R., Oikonomou, K., Cachier, H., and
Kazan, V.: Long-term observations of carbonaceous aerosols in the Austral
Ocean atmosphere: Evidence of a biogenic marine organic source, J. Geophys.
Res.-Atmos., 114, D15302, https://doi.org/10.1029/2009JD011998, 2009.
Shi, Y. and Liu, X.: Dust Radiative Effects on Climate by Glaciating
Mixed-Phase Clouds, Geophys. Res. Lett., 46, 6128–6137, https://doi.org/10.1029/2019GL082504,
2019.
Steele, J. H.: Environmental Control Of Photosynthesis In The Sea, Limnol.
Oceanogr., 7, 137–150, https://doi.org/10.4319/lo.1962.7.2.0137, 1962.
Tan, I., Storelvmo, T., and Zelinka, M. D.: Observational constraints on mixed-phase clouds imply higher climate sensitivity, Science, 352, 224–227, https://doi.org/10.1126/science.aad5300, 2016.
Tobo, Y., Adachi, K., DeMott, P. J., Hill, T. C. J., Hamilton, D. S.,
Mahowald, N. M., Nagatsuka, N., Ohata, S., Uetake, J., Kondo, Y., and Koike,
M.: Glacially sourced dust as a potentially significant source of ice
nucleating particles, Nat. Geosci., 12, 253, https://doi.org/10.1038/s41561-019-0314-x,
2019.
Vali, G., DeMott, P. J., Möhler, O., and Whale, T. F.: Technical Note: A proposal for ice nucleation terminology, Atmos. Chem. Phys., 15, 10263–10270, https://doi.org/10.5194/acp-15-10263-2015, 2015.
Vergara-Temprado, J., Murray, B. J., Wilson, T. W., O'Sullivan, D., Browse, J., Pringle, K. J., Ardon-Dryer, K., Bertram, A. K., Burrows, S. M., Ceburnis, D., DeMott, P. J., Mason, R. H., O'Dowd, C. D., Rinaldi, M., and Carslaw, K. S.: Contribution of feldspar and marine organic aerosols to global ice nucleating particle concentrations, Atmos. Chem. Phys., 17, 3637–3658, https://doi.org/10.5194/acp-17-3637-2017, 2017.
Vergara-Temprado, J., Holden, M. A., Orton, T. R., O'Sullivan, D., Umo, N.
S., Browse, J., Reddington, C., Baeza-Romero, M. T., Jones, J. M.,
Lea-Langton, A., Williams, A., Carslaw, K. S., and Murray, B. J.: Is Black
Carbon an Unimportant Ice-Nucleating Particle in Mixed-Phase Clouds?,
J. Geophys. Res.-Atmos., 123, 4273–4283,
https://doi.org/10.1002/2017JD027831, 2018.
Vignati, E., Facchini, M. C., Rinaldi, M., Scannell, C., Ceburnis, D.,
Sciare, J., Kanakidou, M., Myriokefalitakis, S., Dentener, F., and O'Dowd,
C. D.: Global scale emission and distribution of sea-spray aerosol: Sea-salt
and organic enrichment, Atmos. Environ., 44, 670–677, 2010.
Wang, X., Deane, G. B., Moore, K. A., Ryder, O. S., Stokes, M. D., Beall, C.
M., Collins, D. B., Santander, M. V., Burrows, S. M., Sultana, C. M., and
Prather, K. A.: The role of jet and film drops in controlling the mixing
state of submicron sea spray aerosol particles, P. Natl. Acad. Sci. USA, 114,
6978–6983, https://doi.org/10.1073/pnas.1702420114, 2017.
Wang, Y., Liu, X., Hoose, C., and Wang, B.: Different contact angle distributions for heterogeneous ice nucleation in the Community Atmospheric Model version 5, Atmos. Chem. Phys., 14, 10411–10430, https://doi.org/10.5194/acp-14-10411-2014, 2014.
Wilson, T. W., Ladino, L. A., Alpert, P. A., Breckels, M. N., Brooks, I. M.,
Browse, J., Burrows, S. M., Carslaw, K. S., Huffman, J. A., Judd, C.,
Kilthau, W. P., Mason, R. H., McFiggans, G., Miller, L. A., Najera, J. J.,
Polishchuk, E., Rae, S., Schiller, C. L., Si, M., Temprado, J. V., Whale, T.
F., Wong, J. P. S., Wurl, O., Yakobi-Hancock, J. D., Abbatt, J. P. D.,
Aller, J. Y., Bertram, A. K., Knopf, D. A., and Murray, B. J.: A marine
biogenic source of atmospheric ice-nucleating particles, Nature, 525, 234–238, https://doi.org/10.1038/nature14986, 2015.
Wolf, M. J., Coe, A., Dove, L. A., Zawadowicz, M. A., Dooley, K., Biller, S.
J., Zhang, Y., Chisholm, S. W., and Cziczo, D. J.: Investigating the
Heterogeneous Ice Nucleation of Sea Spray Aerosols Using Prochlorococcus as
a Model Source of Marine Organic Matter, Environ. Sci.
Technol., 53, 1139–1149, https://doi.org/10.1021/acs.est.8b05150, 2019.
Yoon, Y. J., Ceburnis, D., Cavalli, F., Jourdan, O., Putaud, J. P.,
Facchini, M. C., Decesari, S., Fuzzi, S., Sellegri, K., Jennings, S. G., and
O'Dowd, C. D.: Seasonal characteristics of the physicochemical properties of
North Atlantic marine atmospheric aerosols, J. Geophys. Res.-Atmos., 112, D04206, https://doi.org/10.1029/2005JD007044, 2007.
Yun, Y. X. and Penner, J. E.: An evaluation of the potential radiative
forcing and climatic impact of marine organic aerosols as heterogeneous ice
nuclei, Geophys. Res. Lett., 40, 4121–4126, 2013.
Zhang, G. J. and Mcfarlane, N. A.: Sensitivity of Climate Simulations to
the Parameterization of Cumulus Convection in the Canadian Climate Center
General-Circulation Model, Atmos. Ocean, 33, 407–446, 1995.
Zhang, M., Liu, X., Diao, M., D'Alessandro, J. J., Wang, Y., Wu, C., Zhang,
D., Wang, Z., and Xie, S.: Impacts of Representing Heterogeneous
Distribution of Cloud Liquid and Ice on Phase Partitioning of Arctic
Mixed-Phase Clouds with NCAR CAM5, J. Geophys. Res.-Atmos., 124, 13071–13090, https://doi.org/10.1029/2019JD030502, 2019.
Zhang, M., Xie, S., Liu, X., Lin, W., Zhang, K., Ma, H. Y., Zheng, X., and
Zhang, Y.: Toward Understanding the Simulated Phase Partitioning of Arctic
Single-Layer Mixed-Phase Clouds in E3SM, Earth Space Sci., 7, e2020EA001125,
https://doi.org/10.1029/2020ea001125, 2020.
Short summary
Organic sea spray particles influence aerosol and cloud processes over the ocean. This study introduces the emission, cloud droplet activation, and ice nucleation (IN) of marine organic aerosol (MOA) into the Community Earth System Model. Our results indicate that MOA IN particles dominate primary ice nucleation below 400 hPa over the Southern Ocean and Arctic boundary layer. MOA enhances cloud forcing over the Southern Ocean in the austral winter and summer.
Organic sea spray particles influence aerosol and cloud processes over the ocean. This study...
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