Articles | Volume 8, issue 9
Atmos. Meas. Tech., 8, 3555–3562, 2015
Atmos. Meas. Tech., 8, 3555–3562, 2015
Research article
03 Sep 2015
Research article | 03 Sep 2015

Marine boundary layer drizzle properties and their impact on cloud property retrieval

P. Wu et al.

Related authors

Cloud properties over the Southern Ocean during the MARCUS field campaign
Baike Xi, Xiquan Dong, Xiaojian Zheng, and Peng Wu
Atmos. Meas. Tech. Discuss.,,, 2022
Revised manuscript under review for AMT
Short summary
Environmental effects on aerosol–cloud interaction in non-precipitating marine boundary layer (MBL) clouds over the eastern North Atlantic
Xiaojian Zheng, Baike Xi, Xiquan Dong, Peng Wu, Timothy Logan, and Yuan Wang
Atmos. Chem. Phys., 22, 335–354,,, 2022
Short summary
Impacts of long-range transport of aerosols on marine-boundary-layer clouds in the eastern North Atlantic
Yuan Wang, Xiaojian Zheng, Xiquan Dong, Baike Xi, Peng Wu, Timothy Logan, and Yuk L. Yung
Atmos. Chem. Phys., 20, 14741–14755,,, 2020
Short summary
Organized Variations in MBL Cloud Microphysical Properties Observed by Aircraft and Satellite and Simulated by Model
Dale M. Ward, Xiquan Dong, Baike Xi, Peng Wu, Xiaojian Zheng, and Yuan Wang
Atmos. Chem. Phys. Discuss.,,, 2020
Preprint withdrawn
Short summary
Investigation of aerosol–cloud interactions under different absorptive aerosol regimes using Atmospheric Radiation Measurement (ARM) southern Great Plains (SGP) ground-based measurements
Xiaojian Zheng, Baike Xi, Xiquan Dong, Timothy Logan, Yuan Wang, and Peng Wu
Atmos. Chem. Phys., 20, 3483–3501,,, 2020
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Towards the use of conservative thermodynamic variables in data assimilation: a case study using ground-based microwave radiometer measurements
Pascal Marquet, Pauline Martinet, Jean-François Mahfouf, Alina Lavinia Barbu, and Benjamin Ménétrier
Atmos. Meas. Tech., 15, 2021–2035,,, 2022
Short summary
Empirical model of multiple-scattering effect on single-wavelength lidar data of aerosols and clouds
Valery Shcherbakov, Frédéric Szczap, Alaa Alkasem, Guillaume Mioche, and Céline Cornet
Atmos. Meas. Tech., 15, 1729–1754,,, 2022
Short summary
Analytic characterization of random errors in spectral dual-polarized cloud radar observations
Alexander Myagkov and Davide Ori
Atmos. Meas. Tech., 15, 1333–1354,,, 2022
Short summary
Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms
Yuli Liu and Gerald G. Mace
Atmos. Meas. Tech., 15, 927–944,,, 2022
Short summary
Applying self-supervised learning for semantic cloud segmentation of all-sky images
Yann Fabel, Bijan Nouri, Stefan Wilbert, Niklas Blum, Rudolph Triebel, Marcel Hasenbalg, Pascal Kuhn, Luis F. Zarzalejo, and Robert Pitz-Paal
Atmos. Meas. Tech., 15, 797–809,,, 2022
Short summary

Cited articles

Albrecht, B. A.: The effects of drizzle on the thermodynamic structure of the trade-wind boundary layer, J. Geophys. Res., 98, 7327–7337, 1993.
American Meteorological Society: Virga, Glossary of Meteorology, available at:, last access: 24 August 2015.
Austin, P., Wang, Y., Pincus, R., and Kujala, V.: Precipitation in stratocumulus clouds: observations and modeling results, J. Atmos. Sci., 52, 2329–2352, 1995.
Chin, H., Rodriguez, D. J., Cederwall, R. T., Chuang, C. C., Grossman, A. S., Yio, J. J., Fu, Q., and Miller, M. A.: A microphysical retrieval scheme for continental low-level stratiform clouds: impacts of the subadiabatic character on microphysical properties and radiation budgets, Mon. Weather Rev., 128, 2511–2527, 2000.
Dong, X. and Mace, G. G.: Profiles of Low-level stratus cloud microphysics deduced from ground-based measurements, J. Atmos. Ocean. Tech., 20, 42–53, 2003.
Short summary
How does drizzle underneath marine boundary layer (MBL) clouds affect cloud property retrievals? How much liquid water is depleted by virga and rain? To our knowledge, no previous studies have quantitatively estimated the impact of drizzle on cloud property retrievals. Cloud parameterization and radiative transfer modeling researchers will be interested since we give quantitative estimations of drizzle and cloud effective radius, no. concentration, liquid water content, and optical thickness.