Articles | Volume 25, issue 23
https://doi.org/10.5194/acp-25-17455-2025
© Author(s) 2025. 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-25-17455-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Dec 2025
Research article |
| 02 Dec 2025
| 02 Dec 2025
Strong aerosol indirect radiative effect from dynamic-driven diurnal variations of cloud water adjustments
Collaborative Innovation Center for Western Ecological Safety, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Yang Wang
Collaborative Innovation Center for Western Ecological Safety, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Jiming Li
CORRESPONDING AUTHOR
Collaborative Innovation Center for Western Ecological Safety, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Weiyuan Zhang
Collaborative Innovation Center for Western Ecological Safety, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Lijie Zhang
Collaborative Innovation Center for Western Ecological Safety, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Yuan Wang
Collaborative Innovation Center for Western Ecological Safety, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
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Cited articles
Ackerman, A. S., Kirkpatrick, M. P., Stevens, D. E., and Toon, O. B.: The impact of humidity above stratiform clouds on indirect aerosol climate forcing, Nature, 432, 1014–1017, https://doi.org/10.1038/nature03174, 2004.
Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Albrecht, B. A., Bretherton, C. S., Johnson, D., Scubert, W. H., and Frisch, A. S.: The Atlantic Stratocumulus Transition Experiment – ASTEX, Bulletin of the American Meteorological Society, 76, 889–904, https://doi.org/10.1175/1520-0477(1995)076<0889:TASTE>2.0.CO;2, 1995.
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A.-L., Dufresne, J.-L., Feingold, G., Fiedler, S., Forster, P., Gettelman, A., Haywood, J. M., Lohmann, U., Malavelle, F., Mauritsen, T., McCoy, D. T., Myhre, G., Mülmenstädt, J., Neubauer, D., Possner, A., Rugenstein, M., Sato, Y., Schulz, M., Schwartz, S. E., Sourdeval, O., Storelvmo, T., Toll, V., Winker, D., and Stevens, B.: Bounding Global Aerosol Radiative Forcing of Climate Change, Rev. Geophys., 58, https://doi.org/10.1029/2019RG000660, 2020.
Bender, F. A.-M., Frey, L., McCoy, D. T., Grosvenor, D. P., and Mohrmann, J. K.: Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis, Clim. Dyn., 52, 4371–4392, https://doi.org/10.1007/s00382-018-4384-z, 2019.
Bennartz, R.: Global assessment of marine boundary layer cloud droplet number concentration from satellite, J. Geophys. Res., 112, D02201, https://doi.org/10.1029/2006JD007547, 2007.
Bennartz, R. and Rausch, J.: Global and regional estimates of warm cloud droplet number concentration based on 13 years of AQUA-MODIS observations, Atmos. Chem. Phys., 17, 9815–9836, https://doi.org/10.5194/acp-17-9815-2017, 2017.
Boers, R., Acarreta, J. R., and Gras, J. L.: Satellite monitoring of the first indirect aerosol effect: Retrieval of the droplet concentration of water clouds, Journal of Geophysical Research: Atmospheres, 111, https://doi.org/10.1029/2005JD006838, 2006.
Bougeault, P.: The Diurnal Cycle of the Marine Stratocumulus Layer: A Higher-Order Model Study, Journal of the Atmospheric Sciences, 42, 2826–2843, https://doi.org/10.1175/1520-0469(1985)042<2826:TDCOTM>2.0.CO;2, 1985.
Brenguier, J.-L., Burnet, F., and Geoffroy, O.: Cloud optical thickness and liquid water path – does the k coefficient vary with droplet concentration?, Atmos. Chem. Phys., 11, 9771–9786, https://doi.org/10.5194/acp-11-9771-2011, 2011.
Bretherton, C. S., Uttal, T., Fairall, C. W., Yuter, S. E., Weller, R. A., Baumgardner, D., Comstock, K., Wood, R., and Raga, G. B.: The Epic 2001 Stratocumulus Study, Bulletin of the American Meteorological Society, 85, 967–978, https://doi.org/10.1175/BAMS-85-7-967, 2004.
Bretherton, C. S., Blossey, P. N., and Uchida, J.: Cloud droplet sedimentation, entrainment efficiency, and subtropical stratocumulus albedo, Geophysical Research Letters, 34, 2006GL027648, https://doi.org/10.1029/2006GL027648, 2007.
Buchard, V., Randles, C. A., Silva, A. M. da, Darmenov, A., Colarco, P. R., Govindaraju, R., Ferrare, R., Hair, J., Beyersdorf, A. J., Ziemba, L. D., and Yu, H.: The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies, Journal of Climate, 30, 6851–6872, https://doi.org/10.1175/JCLI-D-16-0613.1, 2017.
Caldwell, P., Bretherton, C. S., and Wood, R.: Mixed-Layer Budget Analysis of the Diurnal Cycle of Entrainment in Southeast Pacific Stratocumulus, Journal of the Atmospheric Sciences, 62, 3775–3791, https://doi.org/10.1175/JAS3561.1, 2005.
Chen, Y.-C., Christensen, M. W., Stephens, G. L., and Seinfeld, J. H.: Satellite-based estimate of global aerosol–cloud radiative forcing by marine warm clouds, Nature Geosci., 7, 643–646, https://doi.org/10.1038/ngeo2214, 2014.
Christensen, M. W. and Stephens, G. L.: Microphysical and macrophysical responses of marine stratocumulus polluted by underlying ships: Evidence of cloud deepening, J. Geophys. Res., 116, D03201, https://doi.org/10.1029/2010JD014638, 2011.
Coakley, J. A. and Walsh, C. D.: Limits to the Aerosol Indirect Radiative Effect Derived from Observations of Ship Tracks, Journal of the Atmospheric Sciences, 59, 668–680, https://doi.org/10.1175/1520-0469(2002)059<0668:LTTAIR>2.0.CO;2, 2002.
Duynkerke, P. G. and Hignett, P.: Simulation of Diurnal Variation in a Stratocumulus-capped Marine Boundary Layer during FIRE, Monthly Weather Review, 121, 3291–3300, https://doi.org/10.1175/1520-0493(1993)121<3291:SODVIA>2.0.CO;2, 1993.
Feingold, G., Ghate, V. P., Russell, L. M., Blossey, P., Cantrell, W., Christensen, M. W., Diamond, M. S., Gettelman, A., Glassmeier, F., Gryspeerdt, E., Haywood, J., Hoffmann, F., Kaul, C. M., Lebsock, M., McComiskey, A. C., McCoy, D. T., Ming, Y., Mülmenstädt, J., Possner, A., Prabhakaran, P., Quinn, P. K., Schmidt, K. S., Shaw, R. A., Singer, C. E., Sorooshian, A., Toll, V., Wan, J. S., Wood, R., Yang, F., Zhang, J., and Zheng, X.: Physical science research needed to evaluate the viability and risks of marine cloud brightening, Sci. Adv., 10, eadi8594, https://doi.org/10.1126/sciadv.adi8594, 2024.
Fons, E., Runge, J., Neubauer, D., and Lohmann, U.: Stratocumulus adjustments to aerosol perturbations disentangled with a causal approach, npj Clim. Atmos. Sci., 6, 130, https://doi.org/10.1038/s41612-023-00452-w, 2023.
George, R. C. and Wood, R.: Subseasonal variability of low cloud radiative properties over the southeast Pacific Ocean, Atmos. Chem. Phys., 10, 4047–4063, https://doi.org/10.5194/acp-10-4047-2010, 2010.
Ghosh, S., Osborne, S., and Smith, M. H.: On the importance of cumulus penetration on the microphysical and optical properties of stratocumulus clouds, Atmos. Chem. Phys., 5, 755–765, https://doi.org/10.5194/acp-5-755-2005, 2005.
Glassmeier, F., Hoffmann, F., Johnson, J. S., Yamaguchi, T., Carslaw, K. S., and Feingold, G.: Aerosol-cloud-climate cooling overestimated by ship-track data, Science, 371, 485–489, https://doi.org/10.1126/science.abd3980, 2021.
Glenn, I. B., Feingold, G., Gristey, J. J., and Yamaguchi, T.: Quantification of the Radiative Effect of Aerosol–Cloud Interactions in Shallow Continental Cumulus Clouds, J. Atmos. Sci., 77, 2905–2920, https://doi.org/10.1175/JAS-D-19-0269.1, 2020.
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg1_2d_aer_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics V5.12.4, Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt, MD, USA [data set], https://doi.org/10.5067/KLICLTZ8EM9D, 2015.
Goren, T., Choudhury, G., Kretzschmar, J., and McCoy, I.: Co-variability drives the inverted-V sensitivity between liquid water path and droplet concentrations, Atmos. Chem. Phys., 25, 3413–3423, https://doi.org/10.5194/acp-25-3413-2025, 2025.
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, Reviews of Geophysics, 56, 409–453, https://doi.org/10.1029/2017RG000593, 2018.
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.
Gryspeerdt, E., Goren, T., and Smith, T. W. P.: Observing the timescales of aerosol–cloud interactions in snapshot satellite images, Atmos. Chem. Phys., 21, 6093–6109, https://doi.org/10.5194/acp-21-6093-2021, 2021.
Gryspeerdt, E., Glassmeier, F., Feingold, G., Hoffmann, F., and Murray-Watson, R. J.: Observing short-timescale cloud development to constrain aerosol–cloud interactions, Atmos. Chem. Phys., 22, 11727–11738, https://doi.org/10.5194/acp-22-11727-2022, 2022a.
Gryspeerdt, E., McCoy, D. T., Crosbie, E., Moore, R. H., Nott, G. J., Painemal, D., Small-Griswold, J., Sorooshian, A., and Ziemba, L.: The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data, Atmos. Meas. Tech., 15, 3875–3892, https://doi.org/10.5194/amt-15-3875-2022, 2022b.
Gryspeerdt, E., Povey, A. C., Grainger, R. G., Hasekamp, O., Hsu, N. C., Mulcahy, J. P., Sayer, A. M., and Sorooshian, A.: Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions, Atmos. Chem. Phys., 23, 4115–4122, https://doi.org/10.5194/acp-23-4115-2023, 2023.
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, Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Heus, T., Dijk, G. van, Jonker, H. J. J., and Akker, H. E. A. V. den: Mixing in Shallow Cumulus Clouds Studied by Lagrangian Particle Tracking, J. Atmos. Sci., 65, 2581–2597, https://doi.org/10.1175/2008JAS2572.1, 2008.
Hu, Y., Lu, X., Zhai, P.-W., Hostetler, C. A., Hair, J. W., Cairns, B., Sun, W., Stamnes, S., Omar, A., Baize, R., Videen, G., Mace, J., McCoy, D. T., McCoy, I. L., and Wood, R.: Liquid Phase Cloud Microphysical Property Estimates From CALIPSO Measurements, Front. Remote Sens., 2, https://doi.org/10.3389/frsen.2021.724615, 2021.
Huffman, G. J., Bolvin, D. T., Braithwaite, D., Hsu, K.-L., Joyce, R. J., Kidd, C., Nelkin, E. J., Sorooshian, S., Stocker, E. F., Tan, J., Wolff, D. B., and Xie, P.: Integrated Multi-satellite Retrievals for the Global Precipitation Measurement (GPM) Mission (IMERG), in: Satellite Precipitation Measurement: Volume 1, edited by: Levizzani, V., Kidd, C., Kirschbaum, D. B., Kummerow, C. D., Nakamura, K., and Turk, F. J., Springer International Publishing, Cham, 343–353, https://doi.org/10.1007/978-3-030-24568-9_19, 2020.
Huffman, G. J., Stocker, E. F., Bolvin, D. T., Nelkin, E. J., and Tan, J.: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07, Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt, MD [data set], https://doi.org/10.5067/GPM/IMERG/3B-HH/07, 2023.
IPCC: The Earth's Energy Budget, Climate Feedbacks and Climate Sensitivity, in: Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, 923–1054, https://doi.org/10.1017/9781009157896.009, 2023.
Jian, B., Li, J., Wang, G., Zhao, Y., Li, Y., Wang, J., Zhang, M., and Huang, J.: Evaluation of the CMIP6 marine subtropical stratocumulus cloud albedo and its controlling factors, Atmos. Chem. Phys., 21, 9809–9828, https://doi.org/10.5194/acp-21-9809-2021, 2021.
Jiang, X., Su, H., Jiang, J. H., Neelin, J. D., Wu, L., Tsushima, Y., and Elsaesser, G.: Muted extratropical low cloud seasonal cycle is closely linked to underestimated climate sensitivity in models, Nat. Commun., 14, 5586, https://doi.org/10.1038/s41467-023-41360-0, 2023.
Kang, L., Marchand, R., and Smith, W.: Evaluation of MODIS and Himawari-8 Low Clouds Retrievals Over the Southern Ocean With In Situ Measurements From the SOCRATES Campaign, Earth and Space Science, 8, https://doi.org/10.1029/2020EA001397, 2021.
Kazil, J., Yamaguchi, T., and Feingold, G.: Mesoscale organization, entrainment, and the properties of a closed-cell stratocumulus cloud, Journal of Advances in Modeling Earth Systems, 9, 2214–2229, https://doi.org/10.1002/2017MS001072, 2017.
Klein, S. A. and Hartmann, D. L.: The Seasonal Cycle of Low Stratiform Clouds, Journal of Climate, 6, 1587–1606, https://doi.org/10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2, 1993.
Li, J., Jian, B., Huang, J., Hu, Y., Zhao, C., Kawamoto, K., Liao, S., and Wu, M.: Long-term variation of cloud droplet number concentrations from space-based Lidar, Remote Sensing of Environment, 213, 144–161, https://doi.org/10.1016/j.rse.2018.05.011, 2018.
Liu, J.-W., Xie, S.-P., Yang, S., and Zhang, S.-P.: Low-Cloud Transitions across the Kuroshio Front in the East China Sea, Journal of Climate, 29, 4429–4443, https://doi.org/10.1175/JCLI-D-15-0589.1, 2016.
Long, J., Wang, Y., Zhang, S., and Liu, J.: Transition of Low Clouds in the East China Sea and Kuroshio Region in Winter: A Regional Atmospheric Model Study, Journal of Geophysical Research: Atmospheres, 125, e2020JD032509, https://doi.org/10.1029/2020JD032509, 2020.
Lu, X., Mao, F., Rosenfeld, D., Zhu, Y., Zang, L., Pan, Z., and Gong, W.: The Temperature Control of Cloud Adiabatic Fraction and Coverage, Geophysical Research Letters, 50, e2023GL105831, https://doi.org/10.1029/2023GL105831, 2023.
Martin, G. M., Johnson, D. W., and Spice, A.: The Measurement and Parameterization of Effective Radius of Droplets in Warm Stratocumulus Clouds, Journal of the Atmospheric Sciences, 51, 1823–1842, https://doi.org/10.1175/1520-0469(1994)051<1823:TMAPOE>2.0.CO;2, 1994.
Martin, G. M., Johnson, D. W., Rogers, D. P., Jonas, P. R., Minnis, P., and Hegg, D. A.: Observations of the Interaction between Cumulus Clouds and Warm Stratocumulus Clouds in the Marine Boundary Layer during ASTEX, Journal of the Atmospheric Sciences, 52, 2902–2922, https://doi.org/10.1175/1520-0469(1995)052<2902:OOTIBC>2.0.CO;2, 1995.
McCoy, D. T., Burrows, S. M., Wood, R., Grosvenor, D. P., Elliott, S. M., Ma, P.-L., Rasch, P. J., and Hartmann, D. L.: Natural aerosols explain seasonal and spatial patterns of Southern Ocean cloud albedo, Sci. Adv., 1, e1500157, https://doi.org/10.1126/sciadv.1500157, 2015.
McCoy, D. T., Bender, F. A.-M., Grosvenor, D. P., Mohrmann, J. K., Hartmann, D. L., Wood, R., and Field, P. R.: Predicting decadal trends in cloud droplet number concentration using reanalysis and satellite data, Atmos. Chem. Phys., 18, 2035–2047, https://doi.org/10.5194/acp-18-2035-2018, 2018.
Mechoso, C. R., Wood, R., Weller, R., Bretherton, C. S., Clarke, A. D., Coe, H., Fairall, C., Farrar, J. T., Feingold, G., Garreaud, R., Grados, C., McWilliams, J., Szoeke, S. P. de, Yuter, S. E., and Zuidema, P.: Ocean–Cloud–Atmosphere–Land Interactions in the Southeastern Pacific: The VOCALS Program, Bulletin of the American Meteorological Society, 95, 357–375, https://doi.org/10.1175/BAMS-D-11-00246.1, 2014.
Mellado, J. P.: Cloud-Top Entrainment in Stratocumulus Clouds, Annu. Rev. Fluid Mech., 49, 145–169, https://doi.org/10.1146/annurev-fluid-010816-060231, 2017.
Michibata, T., Suzuki, K., Sato, Y., and Takemura, T.: The source of discrepancies in aerosol–cloud–precipitation interactions between GCM and A-Train retrievals, Atmos. Chem. Phys., 16, 15413–15424, https://doi.org/10.5194/acp-16-15413-2016, 2016.
Miller, M. A., Jensen, M. P., and Clothiaux, E. E.: Diurnal Cloud and Thermodynamic Variations in the Stratocumulus Transition Regime: A Case Study Using In Situ and Remote Sensors, Journal of the Atmospheric Sciences, 55, 2294–2310, https://doi.org/10.1175/1520-0469(1998)055<2294:DCATVI>2.0.CO;2, 1998.
Miller, S. D., Rogers, M. A., Haynes, J. M., Sengupta, M., and Heidinger, A. K.: Short-term solar irradiance forecasting via satellite/model coupling, Solar Energy, 168, 102–117, https://doi.org/10.1016/j.solener.2017.11.049, 2018.
Min, Q., Joseph, E., Lin, Y., Min, L., Yin, B., Daum, P. H., Kleinman, L. I., Wang, J., and Lee, Y.-N.: Comparison of MODIS cloud microphysical properties with in-situ measurements over the Southeast Pacific, Atmos. Chem. Phys., 12, 11261–11273, https://doi.org/10.5194/acp-12-11261-2012, 2012.
Minnis, P., Sun-Mack, S., Young, D. F., Heck, P. W., Garber, D. P., Chen, Y., Spangenberg, D. A., Arduini, R. F., Trepte, Q. Z., Smith, W. L., Ayers, J. K., Gibson, S. C., Miller, W. F., Hong, G., Chakrapani, V., Takano, Y., Liou, K.-N., Xie, Y., and Yang, P.: CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data – Part I: Algorithms, IEEE Trans. Geosci. Remote Sensing, 49, 4374–4400, https://doi.org/10.1109/TGRS.2011.2144601, 2011.
Minnis, P., Sun-Mack, S., Chen, Y., Chang, F.-L., Yost, C. R., Smith, W. L., Heck, P. W., Arduini, R. F., Bedka, S. T., Yi, Y., Hong, G., Jin, Z., Painemal, D., Palikonda, R., Scarino, B. R., Spangenberg, D. A., Smith, R. A., Trepte, Q. Z., Yang, P., and Xie, Y.: CERES MODIS Cloud Product Retrievals for Edition 4 – Part I: Algorithm Changes, IEEE Transactions on Geoscience and Remote Sensing, 59, 2744–2780, https://doi.org/10.1109/TGRS.2020.3008866, 2021.
NASA/LARC/SD/ASDC: SatCORPS CERES GEO Edition 4 Himawari-8 Northern Hemisphere Version 1.2, NASA Langley Atmospheric Science Data Center DAAC [data set], https://doi.org/10.5067/HIM08/CERES/GEO_ED4_NH_V01.2, 2018a.
NASA/LARC/SD/ASDC: SatCORPS CERES GEO Edition 4 Himawari-8 Southern Hemisphere Version 1.2, NASA Langley Atmospheric Science Data Center DAAC [data set], https://doi.org/10.5067/HIM08/CERES/GEO_ED4_SH_V01.2, 2018b.
Painemal, D. and Zuidema, P.: Assessment of MODIS cloud effective radius and optical thickness retrievals over the Southeast Pacific with VOCALS-REx in situ measurements, Journal of Geophysical Research: Atmospheres, 116, https://doi.org/10.1029/2011JD016155, 2011.
Painemal, D., Minnis, P., and O'Neill, L.: The Diurnal Cycle of Cloud-Top Height and Cloud Cover over the Southeastern Pacific as Observed by GOES-10, Journal of the Atmospheric Sciences, 70, 2393–2408, https://doi.org/10.1175/JAS-D-12-0325.1, 2013.
Painemal, D., Xu, K., Palikonda, R., and Minnis, P.: Entrainment rate diurnal cycle in marine stratiform clouds estimated from geostationary satellite retrievals and a meteorological forecast model, Geophysical Research Letters, 44, 7482–7489, https://doi.org/10.1002/2017GL074481, 2017.
Qiu, S., Zheng, X., Painemal, D., Terai, C. R., and Zhou, X.: Daytime variation in the aerosol indirect effect for warm marine boundary layer clouds in the eastern North Atlantic, Atmos. Chem. Phys., 24, 2913–2935, https://doi.org/10.5194/acp-24-2913-2024, 2024.
Qu, X., Hall, A., Klein, S. A., and DeAngelis, A. M.: Positive tropical marine low-cloud cover feedback inferred from cloud-controlling factors, Geophys. Res. Lett., 42, 7767–7775, https://doi.org/10.1002/2015GL065627, 2015.
Quaas, J., Boucher, O., and Lohmann, U.: Constraining the total aerosol indirect effect in the LMDZ and ECHAM4 GCMs using MODIS satellite data, Atmos. Chem. Phys., 6, 947–955, https://doi.org/10.5194/acp-6-947-2006, 2006.
Rahu, J., Trofimov, H., Post, P., and Toll, V.: Diurnal Evolution of Cloud Water Responses to Aerosols, J. Geophys. Res. Atmospheres, 127, https://doi.org/10.1029/2021JD035091, 2022.
Rogers, D. P., Yang, X., Norris, P. M., Johnson, D. W., Martin, G. M., Friehe, C. A., and Berger, B. W.: Diurnal Evolution of the Cloud-Topped Marine Boundary Layer. Part I: Nocturnal Stratocumulus Development, Journal of the Atmospheric Sciences, 52, 2953–2966, https://doi.org/10.1175/1520-0469(1995)052<2953:DEOTCT>2.0.CO;2, 1995.
Rosenfeld, D., Wang, H., and Rasch, P. J.: The roles of cloud drop effective radius and LWP in determining rain properties in marine stratocumulus, Geophysical Research Letters, 39, https://doi.org/10.1029/2012GL052028, 2012.
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.
Rosenfeld, D., Kokhanovsky, A., Goren, T., Gryspeerdt, E., Hasekamp, O., Jia, H., Lopatin, A., Quaas, J., Pan, Z., and Sourdeval, O.: Frontiers in Satellite-Based Estimates of Cloud-Mediated Aerosol Forcing, Reviews of Geophysics, 61, e2022RG000799, https://doi.org/10.1029/2022RG000799, 2023.
Scott, R. C., Myers, T. A., Norris, J. R., Zelinka, M. D., Klein, S. A., Sun, M., and Doelling, D. R.: Observed Sensitivity of Low-Cloud Radiative Effects to Meteorological Perturbations over the Global Oceans, Journal of Climate, 33, 7717–7734, https://doi.org/10.1175/JCLI-D-19-1028.1, 2020.
Slingo, A., Nicholls, S., and Schmetz, J.: Aircraft observations of marine stratocumulus during JASIN, Quart. J. Royal Meteoro. Soc., 108, 833–856, https://doi.org/10.1002/qj.49710845807, 1982.
Small, J. D., Chuang, P. Y., Feingold, G., and Jiang, H.: Can aerosol decrease cloud lifetime?, Geophys. Res. Lett., 36, L16806, https://doi.org/10.1029/2009GL038888, 2009.
Small, J. D., Chuang, P. Y., and Jonsson, H. H.: Microphysical imprint of entrainment in warm cumulus, Tellus B: Chemical and Physical Meteorology, 65, https://doi.org/10.3402/tellusb.v65i0.19922, 2013.
Smalley, K. M., Lebsock, M. D., and Eastman, R.: Diurnal Patterns in the Observed Cloud Liquid Water Path Response to Droplet Number Perturbations, Geophysical Research Letters, 51, e2023GL107323, https://doi.org/10.1029/2023GL107323, 2024.
Sun-Mack, S., Minnis, P., Chen, Y., Kato, S., Yi, Y., Gibson, S. C., Heck, P. W., and Winker, D. M.: Regional Apparent Boundary Layer Lapse Rates Determined from CALIPSO and MODIS Data for Cloud-Height Determination, Journal of Applied Meteorology and Climatology, 53, 990–1011, https://doi.org/10.1175/JAMC-D-13-081.1, 2014.
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.
Trepte, Q. Z., Minnis, P., Sun-Mack, S., Yost, C. R., Chen, Y., Jin, Z., Hong, G., Chang, F.-L., Smith, W. L., Bedka, K. M., and Chee, T. L.: Global Cloud Detection for CERES Edition 4 Using Terra and Aqua MODIS Data, IEEE Transactions on Geoscience and Remote Sensing, 57, 9410–9449, https://doi.org/10.1109/TGRS.2019.2926620, 2019.
Trofimov, H., Bellouin, N., and Toll, V.: Large-Scale Industrial Cloud Perturbations Confirm Bidirectional Cloud Water Responses to Anthropogenic Aerosols, J. Geophys. Res. Atmospheres, 125, https://doi.org/10.1029/2020JD032575, 2020.
Twomey, S.: The Influence of Pollution on the Shortwave Albedo of Clouds, Journal of the Atmospheric Sciences, 34, 1149–1152, https://doi.org/10.1175/1520-0469(1977)034<1149:TIOPOT>2.0.CO;2, 1977.
Verlinden, K. L. and de Szoeke, S. P.: Simulating Radiative Fluxes through Southeastern Pacific Stratocumulus Clouds during VOCALS-REx, Journal of Atmospheric and Oceanic Technology, 35, 821–836, https://doi.org/10.1175/JTECH-D-17-0169.1, 2018.
Wang, Y., Zhao, C., McFarquhar, G. M., Wu, W., Reeves, M., and Li, J.: Dispersion of Droplet Size Distributions in Supercooled Non-precipitating Stratocumulus from Aircraft Observations Obtained during the Southern Ocean Cloud Radiation Aerosol Transport Experimental Study, Journal of Geophysical Research: Atmospheres, 126, e2020JD033720, https://doi.org/10.1029/2020JD033720, 2021.
Wilcox, E. M.: Stratocumulus cloud thickening beneath layers of absorbing smoke aerosol, Atmos. Chem. Phys., 10, 11769–11777, https://doi.org/10.5194/acp-10-11769-2010, 2010.
Wood, R.: Drizzle in Stratiform Boundary Layer Clouds. Part I: Vertical and Horizontal Structure, J. Atmos. Sci., 62, 3011–3033, https://doi.org/10.1175/JAS3529.1, 2005.
Wood, R. and Bretherton, C. S.: On the Relationship between Stratiform Low Cloud Cover and Lower-Tropospheric Stability, Journal of Climate, 19, 6425–6432, https://doi.org/10.1175/JCLI3988.1, 2006.
Wood, R. and Hartmann, D. L.: Spatial Variability of Liquid Water Path in Marine Low Cloud: The Importance of Mesoscale Cellular Convection, Journal of Climate, 19, 1748–1764, https://doi.org/10.1175/JCLI3702.1, 2006.
Wood, R., Bretherton, C. S., and Hartmann, D. L.: Diurnal cycle of liquid water path over the subtropical and tropical oceans: diurnal cycle of liquid water path, Geophys. Res. Lett., 29, 7-1-7–4, https://doi.org/10.1029/2002GL015371, 2002.
Zeider, K., McCauley, K., Dmitrovic, S., Siu, L. W., Choi, Y., Crosbie, E. C., DiGangi, J. P., Diskin, G. S., Kirschler, S., Nowak, J. B., Shook, M. A., Thornhill, K. L., Voigt, C., Winstead, E. L., Ziemba, L. D., Zuidema, P., and Sorooshian, A.: Sensitivity of aerosol and cloud properties to coupling strength of marine boundary layer clouds over the northwest Atlantic, Atmos. Chem. Phys., 25, 2407–2422, https://doi.org/10.5194/acp-25-2407-2025, 2025.
Zhang, J., Zhou, X., Goren, T., and Feingold, G.: Albedo susceptibility of northeastern Pacific stratocumulus: the role of covarying meteorological conditions, Atmos. Chem. Phys., 22, 861–880, https://doi.org/10.5194/acp-22-861-2022, 2022.
Zhang, X., Wang, H., Che, H.-Z., Tan, S.-C., Yao, X.-P., Peng, Y., and Shi, G.-Y.: Radiative forcing of the aerosol-cloud interaction in seriously polluted East China and East China Sea, Atmospheric Research, 252, 105405, https://doi.org/10.1016/j.atmosres.2020.105405, 2021.
Zheng, Y., Rosenfeld, D., and Li, Z.: Estimating the Decoupling Degree of Subtropical Marine Stratocumulus Decks From Satellite, Geophysical Research Letters, 45, 12560–12568, https://doi.org/10.1029/2018GL078382, 2018a.
Zheng, Y., Rosenfeld, D., and Li, Z.: The Relationships Between Cloud Top Radiative Cooling Rates, Surface Latent Heat Fluxes, and Cloud-Base Heights in Marine Stratocumulus, Journal of Geophysical Research: Atmospheres, 123, 11678–11690, https://doi.org/10.1029/2018JD028579, 2018b.
Zhou, X. and Feingold, G.: Impacts of Mesoscale Cloud Organization on Aerosol-Induced Cloud Water Adjustment and Cloud Brightness, Geophysical Research Letters, 50, e2023GL103417, https://doi.org/10.1029/2023GL103417, 2023.
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Short summary
A key challenge in climate projections is the uncertainty in cloud water response to aerosols, especially from unclear diurnal microphysical-dynamical mechanisms. Geostationary satellite shows that neglecting the diurnal variations leads to an underestimation (up to 89 %) of the cooling effect induced by changes in cloud albedo due to aerosol perturbations. The results provide new insights in aerosol-cloud interactions, verifying this is a significant yet often overlooked source of uncertainty.
A key challenge in climate projections is the uncertainty in cloud water response to aerosols,...
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