Articles | Volume 10, issue 12
https://doi.org/10.5194/amt-10-4777-2017
https://doi.org/10.5194/amt-10-4777-2017
Research article
 | 
11 Dec 2017
Research article |  | 11 Dec 2017

Simultaneous and synergistic profiling of cloud and drizzle properties using ground-based observations

Stephanie P. Rusli, David P. Donovan, and Herman W. J. Russchenberg

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Cited articles

Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Austin, R. T. and Stephens, G. L.: Retrieval of stratus cloud microphysical parameters using millimeter-wave radar and visible optical depth in preparation for CloudSat: 1. Algorithm formulation, J. Geophys. Res., 106, 28233–28242, https://doi.org/10.1029/2000JD000293, 2001.
Baedi, R., Boers, R., and Russchenberg, H.: Detection of Boundary Layer Water Clouds by Spaceborne Cloud Radar, J. Atmos. Ocean. Tech., 19, 1915–1927, https://doi.org/10.1175/1520-0426(2002)019<1915:DOBLWC>2.0.CO;2, 2002.
Benmoshe, N., Pinsky, M., Pokrovsky, A., and Khain, A.: Turbulent effects on the microphysics and initiation of warm rain in deep convective clouds: 2-D simulations by a spectral mixed-phase microphysics cloud model, J. Geophys. Res.-Atmos., 117, D06220, https://doi.org/10.1029/2011JD016603, 2012.
Boers, R., Jensen, J. B., and Krummel, P. B.: Microphysical and short-wave radiative structure of stratocumulus clouds over the Southern Ocean: Summer results and seasonal differences, Q. J. Roy. Meteor. Soc., 124, 151–168, https://doi.org/10.1002/qj.49712454507, 1998.
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Short summary
A retrieval method exploiting a synergy of radar, lidar, and microwave radiometer measurements is developed to simultaneously derive microphysical properties of cloud and drizzle in a physically consistent way. After successful tests with simulated scenes, this technique is applied to data collected in Cabauw, the Netherlands. Evaluation of the results shows that the retrieved cloud and drizzle properties are consistent with what is derived from multiple independent retrieval methods.