Articles | Volume 20, issue 6
https://doi.org/10.5194/acp-20-3483-2020
© Author(s) 2020. 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-20-3483-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Investigation of aerosol–cloud interactions under different absorptive aerosol regimes using Atmospheric Radiation Measurement (ARM) southern Great Plains (SGP) ground-based measurements
Xiaojian Zheng
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, AZ, USA
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, AZ, USA
Xiquan Dong
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, AZ, USA
Timothy Logan
Department of Atmospheric Sciences, Texas A&M University, College Station, TX, USA
Yuan Wang
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, AZ, USA
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Zhibo Zhang, Qianqian Song, David B. Mechem, Vincent E. Larson, Jian Wang, Yangang Liu, Mikael K. Witte, Xiquan Dong, and Peng Wu
Atmos. Chem. Phys., 21, 3103–3121, https://doi.org/10.5194/acp-21-3103-2021, https://doi.org/10.5194/acp-21-3103-2021, 2021
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This study investigates the small-scale variations and covariations of cloud microphysical properties, namely, cloud liquid water content and cloud droplet number concentration, in marine boundary layer clouds based on in situ observation from the Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) campaign. We discuss the dependence of cloud variations on vertical location in cloud and the implications for warm-rain simulations in the global climate models.
Jiarui Wu, Naifang Bei, Yuan Wang, Xia Li, Suixin Liu, Lang Liu, Ruonan Wang, Jiaoyang Yu, Tianhao Le, Min Zuo, Zhenxing Shen, Junji Cao, Xuexi Tie, and Guohui Li
Atmos. Chem. Phys., 21, 2229–2249, https://doi.org/10.5194/acp-21-2229-2021, https://doi.org/10.5194/acp-21-2229-2021, 2021
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A source-oriented version of the WRF-Chem model is developed to conduct source identification of wintertime PM2.5 in the North China Plain. Trans-boundary transport of air pollutants generally dominates the haze pollution in Beijing and Tianjin. The air quality in Hebei, Shandong, and Shanxi is generally controlled by local emissions. Primary aerosol species, such as EC and POA, are generally controlled by local emissions, while secondary aerosol shows evident regional characteristics.
Cited articles
Ackerman, T. P. and Stokes, G. M.: The atmospheric radiation measurement
program, Phys. Today, 56, 38–44, https://doi.org/10.1063/1.1554135, 2003.
Anderson, T. L. and Ogren, J. A.: Determining Aerosol Radiative Properties
Using the TSI 3563 Integrating Nephelometer, Aerosol Sci. Tech., 29,
57–69, https://doi.org/10.1080/02786829808965551, 1998.
Anderson, T. L., Covert, D. S., Wheeler, J. D., Harris, J. M., Perry, K. D.,
Trost, B. E., Jaffe, D. J., and Ogren, J. A.: Aerosol backscatter fraction
and single scattering albedo: Measured values and uncertainties at a coastal
station in the Pacific Northwest, J. Geophys. Res., 104, 26793–26807, 1999.
Anderson, T. L., Masonis, S. J., Covert, D. S., Ahlquist, N. C., Howell, S.
G., Clarke, A. D., and McNaughton, C. S.: Variability of aerosol optical
properties derived from in situ aircraft measurements during ACE-Asia, J.
Geophys. Res., 108, 8647, https://doi.org/10.1029/2002jd003247, 2003.
Andrews, E., Sheridan, P. J., and Ogren, J. A.: Seasonal differences in the vertical profiles of aerosol optical properties over rural Oklahoma, Atmos. Chem. Phys., 11, 10661–10676, https://doi.org/10.5194/acp-11-10661-2011, 2011.
ARM Data Center: https://adc.arm.gov/discovery/, last access: 17 July 2019.
ARM SGP ECMWFDIAG: https://adc.arm.gov/discovery/#v/results/s/finst::ecmwfdiag/fsite::sgp/, last access: 17 July 2019.
Bergstrom, R. W., Pilewskie, P., Russell, P. B., Redemann, J., Bond, T. C., Quinn, P. K., and Sierau, B.: Spectral absorption properties of atmospheric aerosols, Atmos. Chem. Phys., 7, 5937–5943, https://doi.org/10.5194/acp-7-5937-2007, 2007.
Betts, A. K. and Viterbo, P.: Land-surface, boundary layer, and cloud-field
coupling over the southwestern Amazon in ERA-40, J. Geophys. Res., 110, D14108, https://doi.org/10.1029/2004JD005702, 2005.
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T.,
Deangelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., Kinne,
S., Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M.,
Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K.,
Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U.,
Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender, C.
S.: Bounding the role of black carbon in the climate system: A scientific
assessment, J. Geophys. Res.-Atmos., 118, 5380–5552, https://doi.org/10.1002/jgrd.50171, 2013.
Cappa, C. D., Kolesar, K. R., Zhang, X., Atkinson, D. B., Pekour, M. S., Zaveri, R. A., Zelenyuk, A., and Zhang, Q.: Understanding the optical properties of ambient sub- and supermicron particulate matter: results from the CARES 2010 field study in northern California, Atmos. Chem. Phys., 16, 6511–6535, https://doi.org/10.5194/acp-16-6511-2016, 2016.
Cazorla, A., Bahadur, R., Suski, K. J., Cahill, J. F., Chand, D., Schmid, B., Ramanathan, V., and Prather, K. A.: Relating aerosol absorption due to soot, organic carbon, and dust to emission sources determined from in-situ chemical measurements, Atmos. Chem. Phys., 13, 9337–9350, https://doi.org/10.5194/acp-13-9337-2013, 2013.
Che, H. C., Zhang, X. Y., Wang, Y. Q., Zhang, L., Shen, X. J., Zhang, Y. M.,
Ma, Q. L., Sun, J. Y., Zhang, Y. W., and Wang, T. T.: Characterization and
parameterization of aerosol cloud condensation nuclei activation under
different pollution conditions, Scientific Reports, 6, 24497, https://doi.org/10.1038/srep24497, 2016.
Clarke, A., McNaughton, C., Kapustin, V., Shinozuka, Y., Howell, S., Dibb,
J., Zhou, J., Anderson, B. E., Brekhovskikh, V., Turner, H., and Pinkerton,
M.: Biomass burning and pollution aerosol over North America: Organic
components and their influence on spectral optical properties and
humidification response, J. Geophys. Res., 112, D12S18, https://doi.org/10.1029/2006JD007777, 2007.
Clarke, A. D., Shinozuka, Y., Kapustin, V. N., Howell, S., Huebert, B.,
Doherty, S., Anderson, T., Covert, D., Anderson, J., Hua, X., Moore, K. G.,
McNaughton, C., Carmichael, G., and Weber, R.: Size distributions and
mixtures of dust and black carbon aerosol in Asian outflow: Physiochemistry
and optical properties, J. Geophys. Res., 109, D15S09, https://doi.org/10.1029/2003JD004378, 2004.
Clothiaux, E. E., Ackerman, T. P., Mace, G. G., Moran, K. P., Marchand, R.
T., Miller, M. A., and Martner, B. E.: Objective Determination of Cloud
Heights and Radar Reflectivities Using a Combination of Active Remote
Sensors at the ARM CART Sites, J. Appl. Meteorol., 39, 645–665,
https://doi.org/10.1175/1520-0450(2000)039<0645:ODOCHA>2.0.CO;2, 2000.
Dong, X. and Mace, G. G.: Profiles of low-level stratus cloud microphysics
deduced from ground-based measurements, J. Atmos. Ocean. Technol., 20, 42–53, https://doi.org/10.1175/1520-0426(2003)020<0042:POLLSC>2.0.CO;2,
2003.
Dong, X., Ackerman, T. P., Clothiaux, E. E., Pilewskie, P., and Han, Y.:
Microphysical and radiative properties of boundary layer stratiform clouds
deduced from ground-based measurements, J. Geophys. Res., 103, 31681–31693, 1997.
Dong, X., Ackerman, T. P., and Clothiaux, E. E.: Parameterizations of the
microphysical and shortwave radiative properties of boundary layer stratus
from ground-based measurements, J. Geophys. Res., 103, 31681–31693,
https://doi.org/10.1029/1998JD200047, 1998.
Dong, X., Mace, G. G., Minnis, P., Smith, W. L., Poellot, M., Marchand, R.
T., and Rapp, A. D.: Comparison of Stratus Cloud Properties Deduced from
Surface, GOES, and Aircraft Data during the March 2000 ARM Cloud IOP, J.
Atmos. Sci., 59, 3265–3284, https://doi.org/10.1175/1520-0469(2002)059<3265:coscpd>2.0.co;2, 2002.
Dong, X. Q., Minnis, P., and Xi, B. K.: A climatology of midlatitude
continental clouds from the ARM SGP Central Facility: Part I: Low-level
cloud macrophysical, microphysical, and radiative properties, J. Climate, 18, 1391–1410, https://doi.org/10.1175/Jcli3342.1, 2005.
Dong, X., Xi, B., and Minnis, P.: A climatology of midlatitude continental
clouds from the ARM SGP Central Facility. Part II: Cloud fraction and
surface radiative forcing, J. Climate, 19, 1765–1783, https://doi.org/10.1175/JCLI3710.1, 2006.
Dong, X., Minnis, P., Xi, B., Sun-Mack, S., and Chen, Y.: Comparison of
CERES-MODIS stratus cloud properties with ground-based measurements at the
DOE ARM Southern Great Plains site, J. Geophys. Res., 113, D03204,
https://doi.org/10.1029/2007JD008438, 2008.
Dong, X., Schwantes, A. C., Xi, B., and Wu, P.: Investigation of the marine
boundary layer cloud and CCN properties under coupled and decoupled
conditions over the azores, J. Geophys. Res.-Atmos., 120, 6179–6191, https://doi.org/10.1002/2014JD022939, 2015.
Dubovik, O., Holben, B., Eck, T. F., Smirnov, A., Kaufman, Y. J., King, M.
D., Tanré, D., and Slutsker, I.: Variability of Absorption and Optical
Properties of Key Aerosol Types Observed in Worldwide Locations, J. Atmos.
Sci., 59, 590–608, 2002.
Dusek, U., Frank, G. P., Hildebrandt, L., Curtius, J., Schneider, J.,
Walter, S., Chand, D., Drewnick, F., Hings, S., Jung, D., Borrmann, S., and
Andreae, M. O.: Size matters more than chemistry for cloud-nucleating
ability of aerosol particles, Science, 312, 1375–1378, https://doi.org/10.1126/science.1125261, 2006.
Eck, T. F., Holben, B. N., Reid, J. S., Dubovik, O., Smirnov, A., O'Neill, N. T., Slutsker, I., and Kinne, S.: Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols, J. Geophys. Res., 104, 31333–31349, https://doi.org/10.1029/1999JD900923, 1999.
Eck, T. F., Holben, B. N., Dubovik, O., Smirnov, A., Goloub, P., Chen, H. B., Chatenet, B., Gomes, L., Zhang, X. Y., Tsay, S. C., Ji, Q., Giles, D., and Slutsker, I.: Columnar aerosol optical properties at AERONET sites in central eastern Asia and aerosol transport to the tropical mid-Pacific, J. Geophys. Res., 110, D06202, https://doi.org/10.1029/2004JD005274, 2005.
Feingold, G., Eberhard, W. L., Veron, D. E., and Previdi, M.: First
measurements of the Twomey indirect effect using ground-based remote
sensors, Geophys. Res. Lett., 30, 1287, https://doi.org/10.1029/2002GL016633, 2003.
Feingold, G., Furrer, R., Pilewskie, P., Remer, L. A., Min, Q., and Jonsson,
H.: Aerosol indirect effect studies at Southern Great Plains during the May
2003 Intensive Operations Period, J. Geophys. Res., 111, D05S14,
https://doi.org/10.1029/2004JD005648, 2006.
Garrett, T. J., Zhao, C., Dong, X., Mace, G. G., and Hobbs, P. V.: Effects of
varying aerosol regimes on low-level Arctic stratus, Geophys. Res. Lett., 31, L17105, https://doi.org/10.1029/2004GL019928, 2004.
Gobbi, G. P., Kaufman, Y. J., Koren, I., and Eck, T. F.: Classification of aerosol properties derived from AERONET direct sun data, Atmos. Chem. Phys., 7, 453–458, https://doi.org/10.5194/acp-7-453-2007, 2007.
Hersey, S. P., Sorooshian, A., Murphy, S. M., Flagan, R. C., and Seinfeld, J. H.: Aerosol hygroscopicity in the marine atmosphere: a closure study using high-time-resolution, multiple-RH DASH-SP and size-resolved C-ToF-AMS data, Atmos. Chem. Phys., 9, 2543–2554, https://doi.org/10.5194/acp-9-2543-2009, 2009.
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, 2013.
IPCC: 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, 1535 pp., https://doi.org/10.1017/CBO9781107415324, 2013.
Jefferson, A.: Aerosol observing system (AOS) handbook, ARMTR-014, US Dep.
of Energy, Washington, D.C., 2011.
Kim, B. G., Miller, M. A., Schwartz, S. E., Liu, Y., and Min, Q.: The role
of adiabaticity in the aerosol first indirect effect, J. Geophys. Res., 113,
D05210, https://doi.org/10.1029/2007JD008961, 2008.
Lack, D. A. and Cappa, C. D.: Impact of brown and clear carbon on light absorption enhancement, single scatter albedo and absorption wavelength dependence of black carbon, Atmos. Chem. Phys., 10, 4207–4220, https://doi.org/10.5194/acp-10-4207-2010, 2010.
Lewis, K., Arnott, W. P., Moosmüller, H., and Wold, C. E.: Strong
spectral variation of biomass smoke light absorption and single scattering
albedo observed with a novel dual-wavelength photoacoustic instrument, J.
Geophys. Res., 113, D16203, https://doi.org/10.1029/2007JD009699, 2008.
Liljegren, J. C., Clothiaux, E. E., Mace, G. G., Kato, S., and Dong, X.: A
new retrieval for cloud liquid water path using a ground-based microwave
radiometer and measurements of cloud temperature, J. Geophys. Res., 106, 14485–14500, https://doi.org/10.1029/2000JD900817, 2001.
Lin, Y., Wang, Y., Pan, B., Hu, J., Liu, Y., and Zhang, R.: Distinct Impacts of Aerosols on an Evolving Continental Cloud Complex during the RACORO Field
Campaign, J. Atmos. Sci. 73, 3681–3700, 2016.
Liu, H. J., Zhao, C. S., Nekat, B., Ma, N., Wiedensohler, A., van Pinxteren, D., Spindler, G., Müller, K., and Herrmann, H.: Aerosol hygroscopicity derived from size-segregated chemical composition and its parameterization in the North China Plain, Atmos. Chem. Phys., 14, 2525–2539, https://doi.org/10.5194/acp-14-2525-2014, 2014.
Liu, J. and Li, Z.: Estimation of cloud condensation nuclei concentration from aerosol optical quantities: influential factors and uncertainties, Atmos. Chem. Phys., 14, 471–483, https://doi.org/10.5194/acp-14-471-2014, 2014.
Liu, Y., Wu, W., Jensen, M. P., and Toto, T.: Relationship between cloud radiative forcing, cloud fraction and cloud albedo, and new surface-based approach for determining cloud albedo, Atmos. Chem. Phys., 11, 7155–7170, https://doi.org/10.5194/acp-11-7155-2011, 2011.
Logan, T., Xi, B., Dong, X., Obrecht, R., Li, Z., and Cribb, M.: A study of
Asian dust plumes using satellite, surface, and aircraft measurements during
the INTEX-B field experiment, J. Geophys. Res., 115, D00K25,
https://doi.org/10.1029/2010JD014134, 2010.
Logan, T., Xi, B., Dong, X., Li, Z., and Cribb, M.: Classification and investigation of Asian aerosol absorptive properties, Atmos. Chem. Phys., 13, 2253–2265, https://doi.org/10.5194/acp-13-2253-2013, 2013.
Logan, T., Xi, B. and Dong, X.: Aerosol properties and their influences on
marine boundary layer cloud condensation nuclei at the ARM mobile facility
over the Azores, J. Geophys. Res.-Atmos., 119, 4859–4872, https://doi.org/10.1002/2013JD021288, 2014.
Logan, T., Dong, X., and Xi, B.: Aerosol properties and their impacts on
surface CCN at the ARM Southern Great Plains site during the 2011
Midlatitude Continental Convective Clouds Experiment, Adv. Atmos. Sci., 35, 224–233, https://doi.org/10.1007/s00376-017-7033-2, 2018.
Long, C. N. and Ackerman, T. P.: Identification of clear skies from
broadband pyranometer measurements and calculation of downwelling shortwave
cloud effects, J. Geophys. Res., 105, 15609–15626, https://doi.org/10.1029/2000JD900077, 2000.
Long, C. N. and Turner, D. D.: A method for continuous estimation of
clear-sky downwelling longwave radiative flux developed using ARM surface
measurements, J. Geophys. Res., 113, D18206, https://doi.org/10.1029/2008JD009936, 2008.
Mace, G. G., Benson, S., Sonntag, K. L., Kato, S., Min, Q., Minnis, P.,
Twohy, C. H., Poellot, M., Dong, X., Long, C., Zhang, Q., and Doelling, D.
R.: Cloud radiative forcing at the Atmospheric Radiation Measurement Program
Climate Research Facility: 1. technique, validation, and comparison to
satellite-derived diagnostic quantities, J. Geophys. Res., 111, D11S90,
https://doi.org/10.1029/2005JD005921, 2006.
Massling, A., Stock, M., Wehner, B., Wu, Z. J., Hu, M., Brüggemann, E.,
Gnauk, T., Herrmann, H., and Wiedensohler, A.: Size segregated water uptake
of the urban submicrometer aerosol in Beijing, Atmos. Environ., 43, 1578–1589, https://doi.org/10.1016/j.atmosenv.2008.06.003, 2009.
McComiskey, A, Feingold, G., Frisch, A. S., Turner, D. D., Miller, M., Chiu,
J. C., Min, Q., and Ogren, J.: An assessment of aerosol-cloud interactions
in marine stratus clouds based on surface remote sensing, J. Geophys. Res.,
114, D09203, https://doi.org/10.1029/2008JD011006, 2009.
McFiggans, G., Artaxo, P., Baltensperger, U., Coe, H., Facchini, M. C., Feingold, G., Fuzzi, S., Gysel, M., Laaksonen, A., Lohmann, U., Mentel, T. F., Murphy, D. M., O'Dowd, C. D., Snider, J. R., and Weingartner, E.: The effect of physical and chemical aerosol properties on warm cloud droplet activation, Atmos. Chem. Phys., 6, 2593–2649, https://doi.org/10.5194/acp-6-2593-2006, 2006.
Mian Chin, Diehl, T., Dubovik, O., Eck, T. F., Holben, B. N., Sinyuk, A., and Streets, D. G.: Light absorption by pollution, dust, and biomass burning aerosols: a global model study and evaluation with AERONET measurements, Ann. Geophys., 27, 3439–3464, https://doi.org/10.5194/angeo-27-3439-2009, 2009.
Miles, N. L., Verlinde, J., and Clothiaux, E. E.: Cloud Droplet Size
Distributions in Low-Level Stratiform Clouds, J. Atmos. Sci., 57, 295–311, https://doi.org/10.1175/1520-0469(2000)057<0295:CDSDIL>2.0.CO;2, 2000.
Morris, V. R.: Ceilometer Instrument Handbook, DOE ARM Climate Research Facility, DOE/SC-ARM-TR-020, https://doi.org/10.2172/1036530, 2016.
Painemal, D. and Zuidema, P.: The first aerosol indirect effect quantified through airborne remote sensing during VOCALS-REx, Atmos. Chem. Phys., 13, 917–931, https://doi.org/10.5194/acp-13-917-2013, 2013.
Parworth, C., Fast, J., Mei, F., Shippert, T., Sivaraman, C., Tilp, A.,
Watson, T., and Zhang, Q.: Long-term measurements of submicrometer aerosol
chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical
Speciation Monitor (ACSM), Atmos. Environ., 106, 43–55,
https://doi.org/10.1016/j.atmosenv.2015.01.060, 2015.
Rose, D., Nowak, A., Achtert, P., Wiedensohler, A., Hu, M., Shao, M., Zhang, Y., Andreae, M. O., and Pöschl, U.: Cloud condensation nuclei in polluted air and biomass burning smoke near the mega-city Guangzhou, China – Part 1: Size-resolved measurements and implications for the modeling of aerosol particle hygroscopicity and CCN activity, Atmos. Chem. Phys., 10, 3365–3383, https://doi.org/10.5194/acp-10-3365-2010, 2010.
Rose, D., Gunthe, S. S., Su, H., Garland, R. M., Yang, H., Berghof, M., Cheng, Y. F., Wehner, B., Achtert, P., Nowak, A., Wiedensohler, A., Takegawa, N., Kondo, Y., Hu, M., Zhang, Y., Andreae, M. O., and Pöschl, U.: Cloud condensation nuclei in polluted air and biomass burning smoke near the mega-city Guangzhou, China – Part 2: Size-resolved aerosol chemical composition, diurnal cycles, and externally mixed weakly CCN-active soot particles, Atmos. Chem. Phys., 11, 2817–2836, https://doi.org/10.5194/acp-11-2817-2011, 2011.
Russell, P. B., Bergstrom, R. W., Shinozuka, Y., Clarke, A. D., DeCarlo, P. F., Jimenez, J. L., Livingston, J. M., Redemann, J., Dubovik, O., and Strawa, A.: Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition, Atmos. Chem. Phys., 10, 1155–1169, https://doi.org/10.5194/acp-10-1155-2010, 2010.
Schmeisser, L., Andrews, E., Ogren, J. A., Sheridan, P., Jefferson, A., Sharma, S., Kim, J. E., Sherman, J. P., Sorribas, M., Kalapov, I., Arsov, T., Angelov, C., Mayol-Bracero, O. L., Labuschagne, C., Kim, S.-W., Hoffer, A., Lin, N.-H., Chia, H.-P., Bergin, M., Sun, J., Liu, P., and Wu, H.: Classifying aerosol type using in situ surface spectral aerosol optical properties, Atmos. Chem. Phys., 17, 12097–12120, https://doi.org/10.5194/acp-17-12097-2017, 2017.
Schuster, G. L., Dubovik, O., Holben, B. N., and Clothiaux, E. E.: Inferring
black carbon content and specific absorption from Aerosol Robotic Network
(AERONET) aerosol retrievals, J. Geophys. Res., 110, D10S17,
https://doi.org/10.1029/2004JD004548, 2005.
Schuster, G. L., Dubovik, O., and Holben, B. N.: Angstrom exponent and
bimodal aerosol size distributions, J. Geophys. Res., 111, D07207,
https://doi.org/10.1029/2005JD006328, 2006.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric chemistry and physics: from air pollution to climate change, 2nd edn., John Wiley & Sons, New York, USA, available at: https://books.google.at/books?id=J3s30hwn_K0C (last access: 20 May 2019), 2012.
Sekiguchi, M.: A study of the direct and indirect effects of aerosols using
global satellite data sets of aerosol and cloud parameters, J. Geophys.
Res., 108, 4699, https://doi.org/10.1029/2002JD003359, 2003.
Sena, E. T., McComiskey, A., and Feingold, G.: A long-term study of aerosol–cloud interactions and their radiative effect at the Southern Great Plains using ground-based measurements, Atmos. Chem. Phys., 16, 11301–11318, https://doi.org/10.5194/acp-16-11301-2016, 2016.
Shinozuka, Y., Clarke, A. D., DeCarlo, P. F., Jimenez, J. L., Dunlea, E. J., Roberts, G. C., Tomlinson, J. M., Collins, D. R., Howell, S. G., Kapustin, V. N., McNaughton, C. S., and Zhou, J.: Aerosol optical properties relevant to regional remote sensing of CCN activity and links to their organic mass fraction: airborne observations over Central Mexico and the US West Coast during MILAGRO/INTEX-B, Atmos. Chem. Phys., 9, 6727–6742, https://doi.org/10.5194/acp-9-6727-2009, 2009.
Sorooshian, A., Feingold, G., Lebsock, M. D., Jiang, H., and Stephens, G. L.:
Deconstructing the precipitation susceptibility construct: Improving
methodology for aerosol-cloud precipitation studies, J. Geophys. Res., 115, D17201, https://doi.org/10.1029/2009JD013426, 2010.
Stein, A. F., Draxler, R. R, Rolph, G. D., Stunder, B. J. B., Cohen, M. D.,
and Ngan, F.: NOAA's HYSPLIT atmospheric transport and dispersion modeling
system, B. Am. Meteorol. Soc., 96, 2059–2077, https://doi.org/10.1175/BAMS-D-14-00110.1, 2015.
Stokes, G. M. and Schwartz, S. E.: The Atmospheric Radiation Measurement (ARM) Program: programmatic background and design of the cloud and radiation test bed, B. Am. Meteorol. Soc., 75, 1201–1222, https://doi.org/10.1175/1520-0477(1994)075<1201:TARMPP>2.0.CO;2, 1994.
Su, W., Loeb, N. G., Xu, K. M., Schuster, G. L., and Eitzen, Z. A.: An
estimate of aerosol indirect effect from satellite measurements with
concurrent meteorological analysis, J. Geophys. Res., 115, D18219,
https://doi.org/10.1029/2010JD013948, 2010.
Tian, P., Cao, X., Zhang, L., Sun, N., Sun, L., Logan, T., Shi, J., Wang, Y., Ji, Y., Lin, Y., Huang, Z., Zhou, T., Shi, Y., and Zhang, R.: Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing, Atmos. Chem. Phys., 17, 2509–2523, https://doi.org/10.5194/acp-17-2509-2017, 2017.
Troyan, D.: Merged Sounding Value-Added Product, DOE ARM Climate Research Facility, DOE/SC‐ARM/TR‐087, available at: https://www.arm.gov/publications/tech_reports/doe-sc-arm-tr-087.pdf (last access: 18 March 2020), 2012.
Twohy, C. H., Anderson, J. R., Toohey, D. W., Andrejczuk, M., Adams, A., Lytle, M., George, R. C., Wood, R., Saide, P., Spak, S., Zuidema, P., and Leon, D.: Impacts of aerosol particles on the microphysical and radiative properties of stratocumulus clouds over the southeast Pacific Ocean, Atmos. Chem. Phys., 13, 2541–2562, https://doi.org/10.5194/acp-13-2541-2013, 2013.
Twomey, S.: The nuclei of natural cloud formation part II: The supersaturation in natural clouds and the variation of cloud droplet concentration, Geofisica pura e applicata, 43, 243–249, https://doi.org/10.1007/BF01993560, 1959.
Twomey, S.: The Influence of Pollution on the Shortwave Albedo of Clouds, J.
Atmos. Sci., 34, 1149–1152, https://doi.org/10.1175/1520-0469(1977)034<1149:TIOPOT>2.0.CO;2, 1977.
Vavrus, S.: An alternative method to calculate cloud radiative forcing:
Implications for quantifying cloud feedbacks, Geophys. Res. Lett., 33, L01805, https://doi.org/10.1029/2005GL024723, 2006.
Wang, J., Cubison, M. J., Aiken, A. C., Jimenez, J. L., and Collins, D. R.: The importance of aerosol mixing state and size-resolved composition on CCN concentration and the variation of the importance with atmospheric aging of aerosols, Atmos. Chem. Phys., 10, 7267–7283, https://doi.org/10.5194/acp-10-7267-2010, 2010.
Wang, Y., Fan, J., Zhang, R., Leung, L. R., and Franklin, C.: Improving bulk
microphysics parameterizations in simulations of aerosol effects, J.
Geophys. Res. Atmos., 118, 5361–5379, https://doi.org/10.1002/jgrd.50432, 2013a.
Wang, Y., Khalizov, A., Levy, M., and Zhang, R.: New Directions: Light
absorbing aerosols and their atmospheric impacts, Atmos. Environ., 81, 713–715, https://doi.org/10.1016/j.atmosenv.2013.09.034, 2013b.
Wang, Y., Lee, K.-H., Lin, Y., Levy, M., and Zhang, R.: Distinct Effects of
Anthropogenic Aerosols on Tropical Cyclones, Nat. Clim. Change, 4,
368–373, 2014.
Wang, Y., Vogel, J. M., Lin, Y., Pan, B., Hu, J., Liu, Y., Dong, X., Jiang,
J. H., Yung, Y. L., and Zhang, R.: Aerosol microphysical and radiative
effects on continental cloud ensembles, Adv. Atmos. Sci., 35, 234–247,
https://doi.org/10.1007/s00376-017-7091-5, 2018a.
Wang, Y., Ma, P. L., Peng, J., Zhang, R., Jiang, J. H., Easter, R. C., and
Yung, Y. L.: Constraining Aging Processes of Black Carbon in the Community
Atmosphere Model Using Environmental Chamber Measurements, J. Adv. Model.
Earth Sy., 10, 2514–2526, https://doi.org/10.1029/2018MS001387, 2018b.
Widener, K., Bharadwaj, N., and Johnson, K.: Ka-Band ARM Zenith Radar (KAZR)
Instrument Handbook, United States: N. p., Web, https://doi.org/10.2172/1035855, 2012.
Wood, R. and Bretherton, C. S.: On the relationship between stratiform low
cloud cover and lower-tropospheric stability, J. Climate, 19, 6425–6432,
https://doi.org/10.1175/JCLI3988.1, 2006.
Xi, B., Dong, X., Minnis, P., and Khaiyer, M. M.: A 10 year climatology of
cloud fraction and vertical distribution derived from both surface and GOES
observations over the DOE ARM SPG site, J. Geophys. Res., 115, D12124,
https://doi.org/10.1029/2009JD012800, 2010.
Zhang, Q., Meng, J., Quan, J., Gao, Y., Zhao, D., Chen, P., and He, H.: Impact of aerosol composition on cloud condensation nuclei activity, Atmos. Chem. Phys., 12, 3783–3790, https://doi.org/10.5194/acp-12-3783-2012, 2012.
Zhao, C., Qiu, Y., Dong, X., Wang, Z., Peng, Y., Li, B., Wu, Z., and Wang,
Y.: Negative aerosol-cloud re relationship from aircraft observations over Hebei, China, Earth and Space Science, 5, 19–29, https://doi.org/10.1002/2017EA000346, 2018.
Short summary
The continental low-level stratiform cloud susceptibilities to aerosols were investigated under different absorptive aerosol regimes. The weakly absorbing aerosols, which are more hygroscopic, can better activate as cloud condensation nuclei. The favorable thermodynamic condition enhances the cloud susceptibility, while the cloud-layer heating effect induced by strongly absorbing aerosols dampens the cloud susceptibility. Overall, the clouds are more susceptible to the weakly absorbing aerosols.
The continental low-level stratiform cloud susceptibilities to aerosols were investigated under...
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