Articles | Volume 11, issue 12
Atmos. Meas. Tech., 11, 6511–6523, 2018
https://doi.org/10.5194/amt-11-6511-2018
Atmos. Meas. Tech., 11, 6511–6523, 2018
https://doi.org/10.5194/amt-11-6511-2018

Research article 06 Dec 2018

Research article | 06 Dec 2018

Boundary-layer water vapor profiling using differential absorption radar

Richard J. Roy et al.

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Cited articles

Abel, S. J. and Boutle, I. A.: An improved representation of the raindrop size distribution for single-moment microphysics schemes, Q. J. Roy. Meteor. Soc., 138, 2151–2162, 2012. a
Battaglia, A., Westbrook, C. D., Kneifel, S., Kollias, P., Humpage, N., Löhnert, U., Tyynelä, J., and Petty, G. W.: G band atmospheric radars: new frontiers in cloud physics, Atmos. Meas. Tech., 7, 1527–1546, https://doi.org/10.5194/amt-7-1527-2014, 2014. a
Beard, K. V.: Terminal Velocity and Shape of Cloud and Precipitation Drops Aloft, J. Atmos. Sci., 33, 851–864, 1976. a
Browell, E., Ismail, S., and Grant, W.: Differential absorption lidar (DIAL) measurements from air and space, Appl. Phys. B, 67, 399–410, 1998. a
Browell, E. V., Wilkerson, T. D., and Mcilrath, T. J.: Water vapor differential absorption lidar development and evaluation, Appl. Optics, 18, 3474–3483, 1979. a
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Short summary
The measurement of water vapor profiles inside clouds with high spatial resolution represents an outstanding problem in atmospheric remote sensing. Here we present measurements from a proof-of-concept millimeter-wave (170 GHz) cloud radar aimed at filling this observational gap, and demonstrate the ability to retrieve in-cloud water vapor profiles with high precision and resolution. This technology could meaningfully impact future satellite-based measurements of water vapor.