Articles | Volume 22, issue 2
Atmos. Chem. Phys., 22, 1159–1174, 2022
https://doi.org/10.5194/acp-22-1159-2022
Atmos. Chem. Phys., 22, 1159–1174, 2022
https://doi.org/10.5194/acp-22-1159-2022
Research article
24 Jan 2022
Research article | 24 Jan 2022

Subgrid-scale horizontal and vertical variation of cloud water in stratocumulus clouds: a case study based on LES and comparisons with in situ observations

Justin A. Covert et al.

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Cited articles

Ahlgrimm, M. and Forbes, R. M.: Regime dependence of cloud condensate variability observed at the Atmospheric Radiation Measurement Sites, Q. J. Roy. Meteorol. Soc., 142, 1605–1617, https://doi.org/10.1002/qj.2783, 2016. a
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ARM: Ka ARM Zenith Radar (KAZR2CFRGE), Atmospheric Radiation Measurement (ARM) user facility, edited by: Lindenmaier, I., Bharadwaj, N., Johnson, K., Nelson, D., Isom, B., Hardin, J., Matthews, A., Wendler, T., and Castro, V., ARM Data Center, https://doi.org/10.5439/1608607, 2019. a
Atmospheric Radiation Measurement: ACE-ENA field campaign data, available at: https://adc.arm.gov/discovery/#/results/s::ENA, last access: 11 January 2022. 
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Short summary
Stratocumulus play an important role in Earth's radiative balance. The simulation of these cloud systems in climate models is difficult due to the scale at which cloud microphysical processes occur compared with model grid sizes. In this study, we use large-eddy simulation to analyze subgrid-scale variability of cloud water and its implications on a cloud water to drizzle model enhancement factor E. We find current values of E may be too large and that E should be vertically dependent in models.
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