Estimating drizzle drop size and precipitation rate using two-colour lidar measurements

A method to estimate the size and liquid water content of drizzle drops using lidar measurements at two wavelengths is described. The method exploits the differential absorption of infrared light by liquid water at 905 nm and 1.5 μm, which leads to a different backscatter cross section for water dro...

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Main Authors: C. D. Westbrook, R. J. Hogan, E. J. O'Connor, A. J. Illingworth
Format: Article
Language:English
Published: Copernicus Publications 2010-06-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/3/671/2010/amt-3-671-2010.pdf
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spelling doaj-55cdc770d1b34f0a85452b0d649bfb172020-11-24T22:23:49ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482010-06-013367168110.5194/amt-3-671-2010Estimating drizzle drop size and precipitation rate using two-colour lidar measurementsC. D. WestbrookR. J. HoganE. J. O'ConnorA. J. IllingworthA method to estimate the size and liquid water content of drizzle drops using lidar measurements at two wavelengths is described. The method exploits the differential absorption of infrared light by liquid water at 905 nm and 1.5 μm, which leads to a different backscatter cross section for water drops larger than ≈50 μm. The ratio of backscatter measured from drizzle samples below cloud base at these two wavelengths (the colour ratio) provides a measure of the median volume drop diameter <i>D</i><sub>0</sub>. This is a strong effect: for <i>D</i><sub>0</sub>=200 μm, a colour ratio of ≈6 dB is predicted. Once <i>D</i><sub>0</sub> is known, the measured backscatter at 905 nm can be used to calculate the liquid water content (LWC) and other moments of the drizzle drop distribution. <br></br> The method is applied to observations of drizzle falling from stratocumulus and stratus clouds. High resolution (32 s, 36 m) profiles of <i>D</i><sub>0</sub>, LWC and precipitation rate <i>R</i> are derived. The main sources of error in the technique are the need to assume a value for the dispersion parameter μ in the drop size spectrum (leading to at most a 35% error in <i>R</i>) and the influence of aerosol returns on the retrieval (≈10% error in <i>R</i> for the cases considered here). Radar reflectivities are also computed from the lidar data, and compared to independent measurements from a colocated cloud radar, offering independent validation of the derived drop size distributions. http://www.atmos-meas-tech.net/3/671/2010/amt-3-671-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C. D. Westbrook
R. J. Hogan
E. J. O'Connor
A. J. Illingworth
spellingShingle C. D. Westbrook
R. J. Hogan
E. J. O'Connor
A. J. Illingworth
Estimating drizzle drop size and precipitation rate using two-colour lidar measurements
Atmospheric Measurement Techniques
author_facet C. D. Westbrook
R. J. Hogan
E. J. O'Connor
A. J. Illingworth
author_sort C. D. Westbrook
title Estimating drizzle drop size and precipitation rate using two-colour lidar measurements
title_short Estimating drizzle drop size and precipitation rate using two-colour lidar measurements
title_full Estimating drizzle drop size and precipitation rate using two-colour lidar measurements
title_fullStr Estimating drizzle drop size and precipitation rate using two-colour lidar measurements
title_full_unstemmed Estimating drizzle drop size and precipitation rate using two-colour lidar measurements
title_sort estimating drizzle drop size and precipitation rate using two-colour lidar measurements
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2010-06-01
description A method to estimate the size and liquid water content of drizzle drops using lidar measurements at two wavelengths is described. The method exploits the differential absorption of infrared light by liquid water at 905 nm and 1.5 μm, which leads to a different backscatter cross section for water drops larger than ≈50 μm. The ratio of backscatter measured from drizzle samples below cloud base at these two wavelengths (the colour ratio) provides a measure of the median volume drop diameter <i>D</i><sub>0</sub>. This is a strong effect: for <i>D</i><sub>0</sub>=200 μm, a colour ratio of ≈6 dB is predicted. Once <i>D</i><sub>0</sub> is known, the measured backscatter at 905 nm can be used to calculate the liquid water content (LWC) and other moments of the drizzle drop distribution. <br></br> The method is applied to observations of drizzle falling from stratocumulus and stratus clouds. High resolution (32 s, 36 m) profiles of <i>D</i><sub>0</sub>, LWC and precipitation rate <i>R</i> are derived. The main sources of error in the technique are the need to assume a value for the dispersion parameter μ in the drop size spectrum (leading to at most a 35% error in <i>R</i>) and the influence of aerosol returns on the retrieval (≈10% error in <i>R</i> for the cases considered here). Radar reflectivities are also computed from the lidar data, and compared to independent measurements from a colocated cloud radar, offering independent validation of the derived drop size distributions.
url http://www.atmos-meas-tech.net/3/671/2010/amt-3-671-2010.pdf
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