Articles | Volume 14, issue 7
Atmos. Meas. Tech., 14, 4959–4970, 2021
Atmos. Meas. Tech., 14, 4959–4970, 2021

Research article 16 Jul 2021

Research article | 16 Jul 2021

Estimating the optical extinction of liquid water clouds in the cloud base region

Karolina Sarna et al.

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Cited articles

Albrecht, B. A., Randall, D. A., and Nicholls, S.: Observations of marine stratocumulus clouds during FIRE, B. Am. Meteorol. Soc., 69, 618–626,<0618:OOMSCD>2.0.CO;2, 1988. a
Cao, X., Roy, G., Roy, N., and Bernier, R.: Comparison of the relationships between lidar integrated backscattered light and accumulated depolarization ratios for linear and circular polarization for water droplets, fog oil, and dust, Appl. Opt., 48, 4130–4141, 2009. a
Carnuth, W. and Reiter, R.: Cloud extinction profile measurements by lidar using Klett’s inversion method, Appl. Opt., 25, 2899,, 1986. a, b
Collis, R. T. H.: Lidar: A new atmospheric probe, Q. J. Roy. Meteorol. Soc., 92, 220–230,, 1966. a
Donovan, D. P., Klein Baltink, H., Henzing, J. S., de Roode, S. R., and Siebesma, A. P.: A depolarisation lidar-based method for the determination of liquid-cloud microphysical properties, Atmos. Meas. Tech., 8, 237–266,, 2015. a
Short summary
We show a method for obtaining cloud optical extinction with a lidar system. We use a scheme in which a lidar signal is inverted based on the estimated value of cloud extinction at the far end of the cloud and apply a correction for multiple scattering within the cloud and a range resolution correction. By applying our technique, we show that it is possible to obtain the cloud optical extinction with an error better than 5 % up to 90 m within the cloud.