Articles | Volume 23, issue 2
https://doi.org/10.5194/acp-23-1073-2023
© Author(s) 2023. 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-23-1073-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jan 2023
Research article |
| 20 Jan 2023
| 20 Jan 2023
Distinct regional meteorological influences on low-cloud albedo susceptibility over global marine stratocumulus regions
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
Chemical Sciences Laboratory, National Oceanic and Atmospheric Administration (NOAA), Boulder, CO, USA
Graham Feingold
Chemical Sciences Laboratory, National Oceanic and Atmospheric Administration (NOAA), Boulder, CO, USA
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We introduce the Education and Research 3D Radiative Transfer Toolbox (EaR3T) and propose a radiance self-consistency approach for quantifying and mitigating 3D bias in legacy airborne and spaceborne imagery retrievals due to spatially inhomogeneous clouds and surfaces.
Paul A. Barrett, Steven J. Abel, Hugh Coe, Ian Crawford, Amie Dobracki, James Haywood, Steve Howell, Anthony Jones, Justin Langridge, Greg M. McFarquhar, Graeme J. Nott, Hannah Price, Jens Redemann, Yohei Shinozuka, Kate Szpek, Jonathan W. Taylor, Robert Wood, Huihui Wu, Paquita Zuidema, Stéphane Bauguitte, Ryan Bennett, Keith Bower, Hong Chen, Sabrina Cochrane, Michael Cotterell, Nicholas Davies, David Delene, Connor Flynn, Andrew Freedman, Steffen Freitag, Siddhant Gupta, David Noone, Timothy B. Onasch, James Podolske, Michael R. Poellot, Sebastian Schmidt, Stephen Springston, Arthur J. Sedlacek III, Jamie Trembath, Alan Vance, Maria A. Zawadowicz, and Jianhao Zhang
Atmos. Meas. Tech., 15, 6329–6371, https://doi.org/10.5194/amt-15-6329-2022, https://doi.org/10.5194/amt-15-6329-2022, 2022
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Michael S. Diamond, Pablo E. Saide, Paquita Zuidema, Andrew S. Ackerman, Sarah J. Doherty, Ann M. Fridlind, Hamish Gordon, Calvin Howes, Jan Kazil, Takanobu Yamaguchi, Jianhao Zhang, Graham Feingold, and Robert Wood
Atmos. Chem. Phys., 22, 12113–12151, https://doi.org/10.5194/acp-22-12113-2022, https://doi.org/10.5194/acp-22-12113-2022, 2022
Short summary
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Smoke from southern Africa blankets the southeast Atlantic from June-October, overlying a major transition region between overcast and scattered clouds. The smoke affects Earth's radiation budget by absorbing sunlight and changing cloud properties. We investigate these effects in regional climate and large eddy simulation models based on international field campaigns. We find that large-scale circulation changes more strongly affect cloud transitions than smoke microphysical effects in our case.
Vikas Nataraja, Sebastian Schmidt, Hong Chen, Takanobu Yamaguchi, Jan Kazil, Graham Feingold, Kevin Wolf, and Hironobu Iwabuchi
Atmos. Meas. Tech., 15, 5181–5205, https://doi.org/10.5194/amt-15-5181-2022, https://doi.org/10.5194/amt-15-5181-2022, 2022
Short summary
Short summary
A convolutional neural network (CNN) is introduced to retrieve cloud optical thickness (COT) from passive cloud imagery. The CNN, trained on large eddy simulations from the Sulu Sea, learns from spatial information at multiple scales to reduce cloud inhomogeneity effects. By considering the spatial context of a pixel, the CNN outperforms the traditional independent pixel approximation (IPA) across several cloud morphology metrics.
Edward Gryspeerdt, Franziska Glassmeier, Graham Feingold, Fabian Hoffmann, and Rebecca J. Murray-Watson
Atmos. Chem. Phys., 22, 11727–11738, https://doi.org/10.5194/acp-22-11727-2022, https://doi.org/10.5194/acp-22-11727-2022, 2022
Short summary
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The response of clouds to changes in aerosol remains a large uncertainty in our understanding of the climate. Studies typically look at aerosol and cloud processes in snapshot images, measuring all properties at the same time. Here we use multiple images to characterise how cloud temporal development responds to aerosol. We find a reduction in liquid water path with increasing aerosol, party due to feedbacks. This suggests the aerosol impact on cloud water may be weaker than in previous studies.
Graham Feingold, Tom Goren, and Takanobu Yamaguchi
Atmos. Chem. Phys., 22, 3303–3319, https://doi.org/10.5194/acp-22-3303-2022, https://doi.org/10.5194/acp-22-3303-2022, 2022
Short summary
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The evaluation of radiative forcing associated with aerosol–cloud interactions remains a significant source of uncertainty in future climate projections. Using high-resolution numerical model output, we mimic typical satellite retrieval methodologies to show that data aggregation can introduce significant error (hundreds of percent) in the cloud albedo susceptibility metric. Spatial aggregation errors tend to be countered by temporal aggregation errors.
Jianhao Zhang, Xiaoli Zhou, Tom Goren, and Graham Feingold
Atmos. Chem. Phys., 22, 861–880, https://doi.org/10.5194/acp-22-861-2022, https://doi.org/10.5194/acp-22-861-2022, 2022
Short summary
Short summary
Oceanic liquid-form clouds are effective sunlight reflectors. Their brightness is highly sensitive to changes in the amount of aerosol particles in the atmosphere and the state of the atmosphere they reside in. This study quantifies this sensitivity using long-term satellite observations and finds an overall cloud brightening (a cooling effect) potential and an essential role of the covarying meteorological conditions in governing this sensitivity for northeastern Pacific stratocumulus.
Matthew W. Christensen, Andrew Gettelman, Jan Cermak, Guy Dagan, Michael Diamond, Alyson Douglas, Graham Feingold, Franziska Glassmeier, Tom Goren, Daniel P. Grosvenor, Edward Gryspeerdt, Ralph Kahn, Zhanqing Li, Po-Lun Ma, Florent Malavelle, Isabel L. McCoy, Daniel T. McCoy, Greg McFarquhar, Johannes Mülmenstädt, Sandip Pal, Anna Possner, Adam Povey, Johannes Quaas, Daniel Rosenfeld, Anja Schmidt, Roland Schrödner, Armin Sorooshian, Philip Stier, Velle Toll, Duncan Watson-Parris, Robert Wood, Mingxi Yang, and Tianle Yuan
Atmos. Chem. Phys., 22, 641–674, https://doi.org/10.5194/acp-22-641-2022, https://doi.org/10.5194/acp-22-641-2022, 2022
Short summary
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Trace gases and aerosols (tiny airborne particles) are released from a variety of point sources around the globe. Examples include volcanoes, industrial chimneys, forest fires, and ship stacks. These sources provide opportunistic experiments with which to quantify the role of aerosols in modifying cloud properties. We review the current state of understanding on the influence of aerosol on climate built from the wide range of natural and anthropogenic laboratories investigated in recent decades.
Cited articles
Adebiyi, A. A. and Zuidema, P.: The role of the southern African easterly jet
in modifying the southeast Atlantic aerosol and cloud environments, Q. J.
Roy. Meteor. Soc., 142, 1574–1589, https://doi.org/10.1002/qj.2765, 2016. a
Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness,
Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989. a, b
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris,
D., Boucher, O., Carslaw, K., Christensen, M., Daniau, A.-L., Dufresne,
J.-L., Feingold, G., Fiedler, S., Forster, P., Gettelman, A., Haywood, J.,
Lohmann, U., Malavelle, F., Mauritsen, T., and Stevens, B.: Bounding global
aerosol radiative forcing of climate change, Rev. Geophys., 58,
e2019RG000660, https://doi.org/10.1029/2019RG000660, 2020. a, b, c, d, e, f, g, h
Bender, F. A.-M., Charlson, R. J., Ekman, A. M. L., and Leahy, L. V.:
Quantification of Monthly Mean Regional Scale Albedo of Marine Stratiform
Clouds in Satellite Observations and GCMs, J. Appl. Meteorol. Clim., 50,
2139–2148, https://doi.org/10.1175/JAMC-D-11-049.1, 2011. a
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster,
P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh,
S., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, 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., Qin, D., Plattner, G.-K., Tignor, M.,
Allen, S., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.,
Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA,
2013. a
Bretherton, C. S.: A conceptual model of the stratocumulus-trade-cumulus
transition in the subtropical oceans, Proceeding of the 11th International
Conference on Clouds and Precipitation, 1, 374–377, 1992. a
Chen, Y.-C., Christensen, M. W., Xue, L., Sorooshian, A., Stephens, G. L., Rasmussen, R. M., and Seinfeld, J. H.: Occurrence of lower cloud albedo in ship tracks, Atmos. Chem. Phys., 12, 8223–8235, https://doi.org/10.5194/acp-12-8223-2012, 2012. a
Christensen, M. W., Gettelman, A., Cermak, J., Dagan, G., Diamond, M., Douglas, A., Feingold, G., Glassmeier, F., Goren, T., Grosvenor, D. P., Gryspeerdt, E., Kahn, R., Li, Z., Ma, P.-L., Malavelle, F., McCoy, I. L., McCoy, D. T., McFarquhar, G., Mülmenstädt, J., Pal, S., Possner, A., Povey, A., Quaas, J., Rosenfeld, D., Schmidt, A., Schrödner, R., Sorooshian, A., Stier, P., Toll, V., Watson-Parris, D., Wood, R., Yang, M., and Yuan, T.: Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., 22, 641–674, https://doi.org/10.5194/acp-22-641-2022, 2022. a
Chun, J.-Y., Wood, R., Blossey, P., and Doherty, S. J.: Microphysical, macrophysical and radiative responses of subtropical marine clouds to aerosol injections, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-351, in review, 2022. a
Coakley, J. A., Bernstein, R. L., and Durkee, P. A.: Effect of Ship-Stack
Effluents on Cloud Reflectivity, Science, 237, 1020–1022,
https://doi.org/10.1126/science.237.4818.1020, 1987. a
Dagan, G., Koren, I., and Altaratz, O.: Competition between core and periphery-based processes in warm convective clouds – from invigoration to suppression, Atmos. Chem. Phys., 15, 2749–2760, https://doi.org/10.5194/acp-15-2749-2015, 2015. a
Eastman, R. and Wood, R.: The Competing Effects of Stability and Humidity on
Subtropical Stratocumulus Entrainment and Cloud Evolution from a Lagrangian
Perspective, J. Atmos. Sci., 75, 2563–2578, https://doi.org/10.1175/JAS-D-18-0030.1,
2018. a
Feingold, G., Goren, T., and Yamaguchi, T.: Quantifying albedo susceptibility biases in shallow clouds, Atmos. Chem. Phys., 22, 3303–3319, https://doi.org/10.5194/acp-22-3303-2022, 2022. a
Garreaud, R. and Muñoz, R.: The Diurnal Cycle in Circulation and Cloudiness
over the Subtropical Southeast Pacific: A Modeling Study, J. Climate, 17,
1699–1710, https://doi.org/10.1175/1520-0442(2004)017<1699:TDCICA>2.0.CO;2, 2004. a
Gerber, H.: Microphysics of Marine Stratocumulus Clouds with Two Drizzle Modes,
J. Atmos. Sci., 53, 1649–1662,
https://doi.org/10.1175/1520-0469(1996)053<1649:MOMSCW>2.0.CO;2, 1996. a
Glassmeier, F., Hoffmann, F., Johnson, J. S., Yamaguchi, T., Carslaw, K. S., and Feingold, G.: An emulator approach to stratocumulus susceptibility, Atmos. Chem. Phys., 19, 10191–10203, https://doi.org/10.5194/acp-19-10191-2019, 2019. a
Goren, T. and Rosenfeld, D.: Satellite observations of ship emission induced
transitions from broken to closed cell marine stratocumulus over large areas,
J. Geophys. Res.-Atmos., 117, D17206, https://doi.org/10.1029/2012JD017981,
2012. a
Goren, T. and Rosenfeld, D.: Decomposing aerosol cloud radiative effects into
cloud cover, liquid water path and Twomey components in marine stratocumulus,
Atmos. Res., 138, 378–393,
https://doi.org/10.1016/j.atmosres.2013.12.008, 2014. a
Grosvenor, D. P. and Wood, R.: The effect of solar zenith angle on MODIS cloud optical and microphysical retrievals within marine liquid water clouds, Atmos. Chem. Phys., 14, 7291–7321, https://doi.org/10.5194/acp-14-7291-2014, 2014. a
Grosvenor, D. P., Sourdeval, O., Zuidema, P., Ackerman, A., Alexandrov, M. D.,
Bennartz, R., Boers, R., Cairns, B., Chiu, J. C., Christensen, M., Deneke,
H., Diamond, M., Feingold, G., Fridlind, A., Hünerbein, A., Knist, C.,
Kollias, P., Marshak, A., McCoy, D., Merk, D., Painemal, D., Rausch, J.,
Rosenfeld, D., Russchenberg, H., Seifert, P., Sinclair, K., Stier, P.,
van Diedenhoven, B., Wendisch, M., Werner, F., Wood, R., Zhang, Z., and
Quaas, J.: Remote Sensing of Droplet Number Concentration in Warm Clouds: A
Review of the Current State of Knowledge and Perspectives, Rev. Geophys., 56,
409–453, https://doi.org/10.1029/2017RG000593, 2018. a
Gryspeerdt, E., Goren, T., Sourdeval, O., Quaas, J., Mülmenstädt, J., Dipu, S., Unglaub, C., Gettelman, A., and Christensen, M.: Constraining the aerosol influence on cloud liquid water path, Atmos. Chem. Phys., 19, 5331–5347, https://doi.org/10.5194/acp-19-5331-2019, 2019. a, b, c
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons,
A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati,
G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803,
2020. a, b
Hoffmann, F., Glassmeier, F., Yamaguchi, T., and Feingold, G.: Liquid Water
Path Steady States in Stratocumulus: Insights from Process-Level Emulation
and Mixed-Layer Theory, J. Atmos. Sci., 77, 2203–2215,
https://doi.org/10.1175/JAS-D-19-0241.1, 2020. a, b, c
Hu, S., Zhu, Y., Rosenfeld, D., Mao, F., Lu, X., Pan, Z., Zang, L., and Gong,
W.: The Dependence of Ship-Polluted Marine Cloud Properties and Radiative
Forcing on Background Drop Concentrations, J. Geophys. Res.-Atmos., 126,
e2020JD033852, https://doi.org/10.1029/2020JD033852, 2021. a
Jiang, H., Xue, H., Teller, A., Feingold, G., and Levin, Z.: Aerosol effects on
the lifetime of shallow cumulus, Geophys. Res. Lett., 33, L14806,
https://doi.org/10.1029/2006GL026024, 2006. a
Klein, S. A. and Hartmann, D. L.: The Seasonal Cycle of Low Stratiform Clouds,
J. Climate, 6, 1587–1606,
https://doi.org/10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2, 1993. a
Latham, J., Bower, K., Choularton, T., Coe, H., Connolly, P., Cooper, G.,
Craft, T., Foster, J., Gadian, A., Galbraith, L., Iacovides, H., Johnston,
D., Launder, B., Leslie, B., Meyer, J., Neukermans, A., Ormond, B., Parkes,
B., Rasch, P., Rush, J., Salter, S., Stevenson, T., Wang, H., Wang, Q., and
Wood, R.: Marine cloud brightening, Philos. T. Roy. Soc. A,
370, 4217–4262, https://doi.org/10.1098/rsta.2012.0086, 2012. a
Malavelle, F. F., Haywood, J. M., Jones, A., Gettelman, A., Clarisse,
L., Bauduin, S., Allan, R. P., Karset, I. H. H., Kristjánsson,
J. E., Oreopoulos, L., Cho, N., Lee, D., Bellouin, N., Boucher, O.,
Grosvenor, D. P., Carslaw, K. S., Dhomse, S., Mann, G. W., Schmidt,
A., Coe, H., Hartley, M. E., Dalvi, M., Hill, A. A., Johnson,
B. T., Johnson, C. E., Knight, J. R., O'Connor, F. M., Partridge,
D. G., Stier, P., Myhre, G., Platnick, S., Stephens, G. L.,
Takahashi, H., and Thordarson, T.: Strong constraints on aerosol-cloud
interactions from volcanic eruptions, Nature, 546, 485–491,
https://doi.org/10.1038/nature22974, 2017. a
Manshausen, P., Watson-Parris, D., Christensen, M. W., Jalkanen, J.-P., and
Stier, P.: Invisible ship tracks show large cloud sensitivity to aerosol,
Nature, 610, 101–106, 2022. a
McCoy, D. T., Bender, F. A.-M., Mohrmann, J. K. C., Hartmann, D. L., Wood, R.,
and Grosvenor, D. P.: The global aerosol-cloud first indirect effect
estimated using MODIS, MERRA, and AeroCom, J. Geophys. Res.-Atmos., 122,
1779–1796, https://doi.org/10.1002/2016JD026141, 2017. a
Mülmenstädt, J. and Feingold, G.: The Radiative Forcing of Aerosol–Cloud
Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty, Curr.
Clim. Change Rep., 4, 23–40, https://doi.org/10.1007/s40641-018-0089-y, 2018. a
Painemal, D.: Global Estimates of Changes in Shortwave Low-Cloud Albedo and
Fluxes Due to Variations in Cloud Droplet Number Concentration Derived From
CERES-MODIS Satellite Sensors, Geophys. Res. Lett., 45, 9288–9296,
https://doi.org/10.1029/2018GL078880, 2018. a
Painemal, D., Minnis, P., and Sun-Mack, S.: The impact of horizontal heterogeneities, cloud fraction, and liquid water path on warm cloud effective radii from CERES-like Aqua MODIS retrievals, Atmos. Chem. Phys., 13, 9997–10003, https://doi.org/10.5194/acp-13-9997-2013, 2013. a
Petters, J. L., Harrington, J. Y., and Clothiaux, E. E.: Radiative–Dynamical
Feedbacks in Low Liquid Water Path Stratiform Clouds, J. Atmos. Sci., 69,
1498–1512, https://doi.org/10.1175/JAS-D-11-0169.1, 2012. a, b, c
Platnick, S., King, M. D., Ackerman, S. A., Menzel, W. P., Baum, B. A., Riedi,
J. C., and Frey, R. A.: The MODIS cloud products: algorithms and examples
from Terra, IEEE T. Geosci. Remote., 41, 459–473,
https://doi.org/10.1109/TGRS.2002.808301, 2003. a
Possner, A., Eastman, R., Bender, F., and Glassmeier, F.: Deconvolution of boundary layer depth and aerosol constraints on cloud water path in subtropical stratocumulus decks, Atmos. Chem. Phys., 20, 3609–3621, https://doi.org/10.5194/acp-20-3609-2020, 2020. a, b, c
Rosenfeld, D., Zhu, Y., Wang, M., Zheng, Y., Goren, T., and Yu, S.:
Aerosol-driven droplet concentrations dominate coverage and water of oceanic
low-level clouds, Science, 363, eaav0566, https://doi.org/10.1126/science.aav0566,
2019. a
Stephens, G. L., Li, J., Wild, M., Clayson, C. A., Loeb, N., Kato, S.,
L'Ecuyer, T., Stackhouse, P. W., Lebsock, M., and Andrews, T.: An update on
Earth's energy balance in light of the latest global observations, Nat.
Geosci., 5, 691–696, https://doi.org/10.1038/ngeo1580, 2012. a
Stevens, B. and Feingold, G.: Untangling aerosol effects on clouds and
precipitation in a buffered system, Nature, 461, 607–613,
https://doi.org/10.1038/nature08281, 2009. a
Su, W., Corbett, J., Eitzen, Z., and Liang, L.: Next-generation angular distribution models for top-of-atmosphere radiative flux calculation from CERES instruments: methodology, Atmos. Meas. Tech., 8, 611–632, https://doi.org/10.5194/amt-8-611-2015, 2015. a, b
Toll, V., Christensen, M., Quaas, J., and Bellouin, N.: Weak average
liquid-cloud-water response to anthropogenic aerosols, Nature, 572, 51–55,
https://doi.org/10.1038/s41586-019-1423-9, 2019. a, b, c
Trofimov, H., Bellouin, N., and Toll, V.: Large-Scale Industrial Cloud
Perturbations Confirm Bidirectional Cloud Water Responses to Anthropogenic
Aerosols, J. Geophys. Res.-Atmos., 125, e2020JD032575,
https://doi.org/10.1029/2020JD032575, 2020. a
Twomey, S.: Pollution and the planetary albedo, Atmos. Environ., 8,
1251–1256, https://doi.org/10.1016/0004-6981(74)90004-3, 1974. a, b
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. a, b
vanZanten, M. C., Stevens, B., Vali, G., and Lenschow, D. H.: Observations of
Drizzle in Nocturnal Marine Stratocumulus, J. Atmos. Sci., 62, 88–106,
https://doi.org/10.1175/JAS-3355.1, 2005. a
Wall, C. J., Norris, J. R., Possner, A., McCoy, D. T., McCoy, I. L., and
Lutsko, N. J.: Assessing effective radiative forcing from aerosol–cloud
interactions over the global ocean, P. Natl. Acad. Sci. USA, 119,
e2210481119, https://doi.org/10.1073/pnas.2210481119, 2022. a
Wang, H., Rasch, P. J., and Feingold, G.: Manipulating marine stratocumulus cloud amount and albedo: a process-modelling study of aerosol-cloud-precipitation interactions in response to injection of cloud condensation nuclei, Atmos. Chem. Phys., 11, 4237–4249, https://doi.org/10.5194/acp-11-4237-2011, 2011. a, b
Wang, S., Wang, Q., and Feingold, G.: Turbulence, Condensation, and Liquid
Water Transport in Numerically Simulated Nonprecipitating Stratocumulus
Clouds, J. Atmos. Sci., 60, 262–278,
https://doi.org/10.1175/1520-0469(2003)060<0262:TCALWT>2.0.CO;2, 2003. a, b, c
Wielicki, B. A., Barkstrom, B. R., Harrison, E. F., Lee, R. B., Smith, G. L.,
and Cooper, J. E.: Clouds and the Earth's Radiant Energy System (CERES): An
Earth Observing System Experiment, B. Am. Meteorol. Soc., 77, 853–868,
https://doi.org/10.1175/1520-0477(1996)077<0853:CATERE>2.0.CO;2, 1996. a
Wood, R.: Cancellation of Aerosol Indirect Effects in Marine Stratocumulus
through Cloud Thinning, J. Atmos. Sci., 64, 2657–2669,
https://doi.org/10.1175/JAS3942.1, 2007. a
Wood, R.: Stratocumulus Clouds, Mon. Weather Rev., 140, 2373–2423,
https://doi.org/10.1175/MWR-D-11-00121.1, 2012. a, b
Wood, R.: Assessing the potential efficacy of marine cloud brightening for cooling Earth using a simple heuristic model, Atmos. Chem. Phys., 21, 14507–14533, https://doi.org/10.5194/acp-21-14507-2021, 2021. a
Wyant, M. C., Bretherton, C. S., Rand, H. A., and Stevens, D. E.: Numerical
Simulations and a Conceptual Model of the Stratocumulus to Trade Cumulus
Transition, J. Atmos. Sci., 54, 168–192,
https://doi.org/10.1175/1520-0469(1997)054<0168:NSAACM>2.0.CO;2, 1997.
a
Xue, H. and Feingold, G.: Large-Eddy Simulations of Trade Wind Cumuli:
Investigation of Aerosol Indirect Effects, J. Atmos. Sci., 63, 1605–1622,
https://doi.org/10.1175/JAS3706.1, 2006. a, b, c
Zhang, J. and Zuidema, P.: Sunlight-absorbing aerosol amplifies the seasonal cycle in low-cloud fraction over the southeast Atlantic, Atmos. Chem. Phys., 21, 11179–11199, https://doi.org/10.5194/acp-21-11179-2021, 2021. a
Short summary
Using observations from space, we show maps of potential brightness changes in marine warm clouds in response to increases in cloud droplet concentrations. The environmental and aerosol conditions in which these clouds reside covary differently in each ocean basin, leading to distinct evolutions of cloud brightness changes. This work stresses the central importance of the covariability between meteorology and aerosol for scaling up the radiative response of cloud brightness changes.
Using observations from space, we show maps of potential brightness changes in marine warm...
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