Articles | Volume 26, issue 19
https://doi.org/10.5194/acp-26-14245-2026
© Author(s) 2026. 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-26-14245-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2026
Research article |
| 12 Oct 2026
| 12 Oct 2026
Non-monotonic response of net dust deposition kinetics to low wind speeds
Ruochen Jia
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
University of Chinese Academy of Sciences, Beijing 100049, China
Chaoqun Ba
Hebei Minzu Normal University, Chengde 067000, China
Chao Zhang
Inner Mongolia University of Finance and Economics, Hohhot 010070, China
Wennong Kuang
Beijing Forestry University, Beijing 100083, China
Yuan Liu
Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China
Zhigang Wang
Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China
Fang Liu
Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China
Zhiming Xin
Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China
Yuting Liu
Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China
Qun Ma
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Lu Zong
Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China
Wei Liang
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Henan Agricultural University, Zhengzhou 450046, China
Zhimin Liu
CORRESPONDING AUTHOR
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Cited articles
Adebiyi, A. A. and Kok, J. F.: Climate models miss most of the coarse dust in the atmosphere, Sci. Adv., 6, eaaz9507, https://doi.org/10.1126/sciadv.aaz9507, 2020.
Bagheri, G. and Bonadonna, C.: On the drag of freely falling non-spherical particles, Powder Technol., 301, 526–544, https://doi.org/10.1016/j.powtec.2016.06.015, 2016.
Bergametti, G., Marticorena, B., Rajot, J.-L., Foret, G., Alfaro, S. C., and Laurent, B.: Size-resolved dry deposition velocities of dust particles: in situ measurements and parameterizations testing, J. Geophys. Res.-Atmos., 123, 11080–11099, https://doi.org/10.1029/2018JD028964, 2018.
Emerson, E. W., Hodshire, A. L., DeBolt, H. M., Bilsback, K. R., Pierce, J. R., McMeeking, G. R., and Farmer, D. K.: Revisiting particle dry deposition and its role in radiative effect estimates, P. Natl. Acad. Sci. USA, 117, 26076–26082, https://doi.org/10.1073/pnas.2014761117, 2020.
Farmer, D. K., Boedicker, E. K., and DeBolt, H. M.: Dry deposition of atmospheric aerosols: approaches, observations, and mechanisms, Annu. Rev. Phys. Chem., 72, 375–397, https://doi.org/10.1146/annurev-physchem-090519-034936, 2021.
Fécan, F., Marticorena, B., and Bergametti, G.: Parametrization of the increase of the aeolian erosion threshold wind friction velocity due to soil moisture for arid and semi-arid areas, Ann. Geophys., 17, 149–157, https://doi.org/10.1007/s00585-999-0149-7, 1999.
Gallagher, M. W., Nemitz, E., Dorsey, J. R., Fowler, D., Sutton, M. A., Flynn, M., and Duyzer, J.: Measurements and parameterizations of small aerosol deposition velocities to grassland, arable crops, and forest: influence of surface roughness length on deposition, J. Geophys. Res.-Atmos., 107, AAC 8-1–AAC 8-10, https://doi.org/10.1029/2001JD000817, 2002.
Ginoux, P.: Effects of nonsphericity on mineral dust modeling, J. Geophys. Res.-Atmos., 108, 4052, https://doi.org/10.1029/2002JD002516, 2003.
Goossens, D. and Rajot, J. L.: Techniques to measure the dry aeolian deposition of dust in arid and semi-arid landscapes: a comparative study in West Niger, Earth Surf. Proc. Land., 33, 178–195, https://doi.org/10.1002/esp.1533, 2008.
Jia, R. and Liu, Z.: Quantification of dust deposition in weak turbulent conditions, Zenodo [data set], https://doi.org/10.5281/zenodo.18264330, 2026.
Jickells, T. D., An, Z. S., Andersen, K. K., Baker, A. R., Bergametti, G., Brooks, N., Cao, J. J., Boyd, P. W., Duce, R. A., Hunter, K. A., Kawahata, H., Kubilay, N., LaRoche, J., Liss, P. S., Mahowald, N., Prospero, J. M., Ridgwell, A. J., Tegen, I., and Torres, R.: Global iron connections between desert dust, ocean biogeochemistry, and climate, Science, 308, 67–71, https://doi.org/10.1126/science.1105959, 2005.
Khan, T. R. and Perlinger, J. A.: Evaluation of five dry particle deposition parameterizations for incorporation into atmospheric transport models, Geosci. Model Dev., 10, 3861–3888, https://doi.org/10.5194/gmd-10-3861-2017, 2017.
Kok, J. F., Parteli, E. J. R., Michaels, T. I., and Karam, D. B.: The physics of wind-blown sand and dust, Rep. Prog. Phys., 75, 106901, https://doi.org/10.1088/0034-4885/75/10/106901, 2012.
Kok, J. F., Albani, S., Mahowald, N. M., and Ward, D. S.: An improved dust emission model – Part 2: Evaluation in the Community Earth System Model, with implications for the use of dust source functions, Atmos. Chem. Phys., 14, 13043–13061, https://doi.org/10.5194/acp-14-13043-2014, 2014.
Kok, J. F., Ridley, D. A., Zhou, Q., Miller, R. L., Zhao, C., Heald, C. L., Ward, D. S., Albani, S., and Haustein, K.: Smaller desert dust cooling effect estimated from analysis of dust size and abundance, Nat. Geosci., 10, 274–278, https://doi.org/10.1038/ngeo2912, 2017.
Kok, J. F., Adebiyi, A. A., Albani, S., Balkanski, Y., Checa-Garcia, R., Chin, M., Colarco, P. R., Hamilton, D. S., Huang, Y., Ito, A., Klose, M., Li, L., Mahowald, N. M., Miller, R. L., Obiso, V., Pérez García-Pando, C., Rocha-Lima, A., and Wan, J. S.: Contribution of the world's main dust source regions to the global cycle of desert dust, Atmos. Chem. Phys., 21, 8169–8193, https://doi.org/10.5194/acp-21-8169-2021, 2021.
Kok, J. F., Storelvmo, T., Karydis, V. A., Adebiyi, A. A., Mahowald, N. M., Evan, A. T., He, C., and Leung, D. M.: Mineral dust aerosol impacts on global climate and climate change, Nat. Rev. Earth Environ., 4, 71–86, https://doi.org/10.1038/s43017-022-00379-5, 2023.
Kong, S. S.-K., Fu, J. S., Lin, N.-H., Sheu, G.-R., and Huang, W.-S.: Modeling CMAQ dry deposition treatment over the western Pacific: a distinct characteristic of mineral dust and anthropogenic aerosols, Atmos. Chem. Phys., 25, 7245–7268, https://doi.org/10.5194/acp-25-7245-2025, 2025.
Liu, M., Wang, Z., and Xin, Z.: Vertical extensible comprehensive circulating wind tunnel with track platform, Chinese Utility Model Patent CN210774598U, https://patents.google.com/patent/CN210774598U/en (last access: 3 October 2026), 2020.
Maggi, F., Mietta, F., and Winterwerp, J. C.: Effect of variable fractal dimension on the floc size distribution of suspended cohesive sediment, J. Hydrol., 343, 43–55, https://doi.org/10.1016/j.jhydrol.2007.05.035, 2007.
Mahowald, N. M., Kloster, S., Engelstaedter, S., Moore, J. K., Mukhopadhyay, S., McConnell, J. R., Albani, S., Doney, S. C., Bhattacharya, A., Curran, M. A. J., Flanner, M. G., Hoffman, F. M., Lawrence, D. M., Lindsay, K., Mayewski, P. A., Neff, J., Rothenberg, D., Thomas, E., Thornton, P. E., and Zender, C. S.: Observed 20th century desert dust variability: impact on climate and biogeochemistry, Atmos. Chem. Phys., 10, 10875–10893, https://doi.org/10.5194/acp-10-10875-2010, 2010.
Mietta, F., Chassagne, C., Manning, A. J., and Winterwerp, J. C.: Influence of shear rate, organic matter content, pH and salinity on mud flocculation, Ocean Dynam., 59, 751–763, https://doi.org/10.1007/s10236-009-0231-4, 2009.
Mostamandi, S., Ukhov, A., Engelbrecht, J., Shevchenko, I., Osipov, S., and Stenchikov, G.: Fine and coarse dust effects on radiative forcing, mass deposition, and solar devices over the Middle East, J. Geophys. Res.-Atmos., 128, e2023JD039479, https://doi.org/10.1029/2023JD039479, 2023.
Penlou, B., Roche, O., Manga, M., and van den Wildenberg, S.: Experimental measurement of enhanced and hindered particle settling in turbulent gas–particle suspensions, and geophysical implications, J. Geophys. Res.-Sol. Ea., 128, e2022JB025809, https://doi.org/10.1029/2022JB025809, 2023.
Petroff, A. and Zhang, L.: Development and validation of a size-resolved particle dry deposition scheme for application in aerosol transport models, Geosci. Model Dev., 3, 753–769, https://doi.org/10.5194/gmd-3-753-2010, 2010.
R Core Team: R: A language and environment for statistical computing, version 4.4.1, R Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org/ (last access: 3 October 2026), 2024.
Richards-Thomas, T. and McKenna-Neuman, C.: Laboratory investigation of particle-scale factors affecting the settling velocity of volcaniclastic dust, J. Geophys. Res.-Atmos., 125, e2020JD032660, https://doi.org/10.1029/2020JD032660, 2020.
Saylor, R. D., Baker, B. D., Lee, P., Tong, D., Pan, L., and Hicks, B. B.: The particle dry deposition component of total deposition from air quality models: right, wrong or uncertain?, Tellus B, 71, 1550324, https://doi.org/10.1080/16000889.2018.1550324, 2019.
Shao, Y. (Ed.): Physics and Modelling of Wind Erosion, 2nd edn., Atmospheric and Oceanographic Sciences Library, vol. 37, Springer, Dordrecht, https://doi.org/10.1007/978-1-4020-8895-7, 2008.
Shao, Y., Raupach, M. R., and Findlater, P. A.: Effect of saltation bombardment on the entrainment of dust by wind, J. Geophys. Res., 98, 12719–12726, https://doi.org/10.1029/93JD00396, 1993.
Slinn, W. G. N.: Predictions for particle deposition to vegetative canopies, Atmos. Environ., 16, 1785–1794, https://doi.org/10.1016/0004-6981(82)90271-2, 1982.
Tegen, I. and Fung, I.: Modeling of mineral dust in the atmosphere: sources, transport, and optical thickness, J. Geophys. Res.-Atmos., 99, 22897–22914, https://doi.org/10.1029/94JD01928, 1994.
Tian, L. and Ahmadi, G.: Particle deposition in turbulent duct flows—comparisons of different model predictions, J. Aerosol Sci., 38, 377–397, https://doi.org/10.1016/j.jaerosci.2006.12.003, 2007.
Waza, A., Schneiders, K., May, J., Rodríguez, S., Epple, B., and Kandler, K.: Field comparison of dry deposition samplers for collection of atmospheric mineral dust: results from single-particle characterization, Atmos. Meas. Tech., 12, 6647–6665, https://doi.org/10.5194/amt-12-6647-2019, 2019.
Wesely, M. L.: Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models, Atmos. Environ., 23, 1293–1304, https://doi.org/10.1016/0004-6981(89)90153-4, 1989.
Wu, C., Lin, Z., and Liu, X.: The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models, Atmos. Chem. Phys., 20, 10401–10425, https://doi.org/10.5194/acp-20-10401-2020, 2020a.
Wu, M., Liu, X., Yu, H., Wang, H., Shi, Y., Yang, K., Darmenov, A., Wu, C., Wang, Z., Luo, T., Feng, Y., and Ke, Z.: Understanding processes that control dust spatial distributions with global climate models and satellite observations, Atmos. Chem. Phys., 20, 13835–13855, https://doi.org/10.5194/acp-20-13835-2020, 2020b.
Yu, M., Yu, X., Balachandar, S., and Manning, A. J.: Floc size distributions of cohesive sediment in homogeneous isotropic turbulence, Front. Earth Sci., 10, 815652, https://doi.org/10.3389/feart.2022.815652, 2022.
Zeng, Y., Wang, M., Zhao, C., Chen, S., Liu, Z., Huang, X., and Gao, Y.: WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes, Geosci. Model Dev., 13, 2125–2147, https://doi.org/10.5194/gmd-13-2125-2020, 2020.
Zhang, J. and Shao, Y.: A new parameterization of particle dry deposition over rough surfaces, Atmos. Chem. Phys., 14, 12429–12440, https://doi.org/10.5194/acp-14-12429-2014, 2014.
Zhang, J., Shao, Y., and Huang, N.: Measurements of dust deposition velocity in a wind-tunnel experiment, Atmos. Chem. Phys., 14, 8869–8882, https://doi.org/10.5194/acp-14-8869-2014, 2014.
Zhang, L. and He, Z.: Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles, Atmos. Chem. Phys., 14, 3729–3737, https://doi.org/10.5194/acp-14-3729-2014, 2014.
Zhao, K., Vowinckel, B., Hsu, T.-J., Bai, B., and Meiburg, E.: Cohesive sediment: intermediate shear produces maximum aggregate size, J. Fluid Mech., 965, A5, https://doi.org/10.1017/jfm.2023.380, 2023.
Short summary
Controlled wind tunnel experiments show how mineral dust settles under calm and low-wind conditions. Dust did not settle more slowly as wind speed increased. Instead, fine and medium-sized particles accumulated most strongly at a gentle wind speed of 2 m s−1, while stronger winds reduced their retention. These findings can help improve predictions of how dust is removed from the air and represented in atmospheric models.
Controlled wind tunnel experiments show how mineral dust settles under calm and low-wind...
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