Articles | Volume 21, issue 17
https://doi.org/10.5194/acp-21-13119-2021
https://doi.org/10.5194/acp-21-13119-2021
Research article
 | 
03 Sep 2021
Research article |  | 03 Sep 2021

Statistical properties of a stochastic model of eddy hopping

Izumi Saito, Takeshi Watanabe, and Toshiyuki Gotoh

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Abade, G. C., Grabowski, W. W., and Pawlowska, H.: Broadening of cloud droplet spectra through eddy hopping: Turbulent entraining parcel simulations, J. Atmos. Sci., 75, 3365–3379, https://doi.org/10.1175/JAS-D-18-0078.1, 2018. a, b, c, d, e, f, g, h, i
Chandrakar, K. K., Cantrell, W., Chang, K., Ciochetto, D., Niedermeier, D., Ovchinnikov, M., Shaw, R. A., and Yang, F.: Aerosol indirect effect from turbulence-induced broadening of cloud-droplet size distributions, P. Natl. Acad. Sci. USA, 113, 14243–14248, https://doi.org/10.1073/pnas.1612686113, 2016. a
Chandrakar, K. K., Grabowski, W. W., Morrison, H., and Bryan, G. H.: Impact of entrainment–mixing and turbulent fluctuations on droplet size distributions in a cumulus cloud: An investigation using Lagrangian microphysics with a sub–grid–scale model, J. Atmos. Sci., https://doi.org/10.1175/JAS-D-20-0281.1, 2021. a
Clark, T. L. and Hall, W. D.: A numerical experiment on stochastic condensation theory, J. Atmos. Sci., 36, 470–483, https://doi.org/10.1175/1520-0469(1979)036<0470:ANEOSC>2.0.CO;2, 1979. a
Cooper, W. A.: Effects of variable droplet growth histories on Droplet size distributions. Part I: Theory, J. Atmos. Sci., 46, 1301–1311, https://doi.org/10.1175/1520-0469(1989)046<1301:EOVDGH>2.0.CO;2, 1989. a
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We provide various statistical properties for the stochastic model of eddy hopping, which is a novel cloud microphysical model that accounts for the effect of the supersaturation fluctuation at unresolved scales on the growth of cloud droplets and on spectral broadening in a turbulent cloud. Our results indicate that the model can be improved to have better fidelity to the reference data and to require less computational cost.
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