Articles | Volume 17, issue 23
https://doi.org/10.5194/amt-17-6965-2024
https://doi.org/10.5194/amt-17-6965-2024
Research article
 | 
12 Dec 2024
Research article |  | 12 Dec 2024

Dual-frequency (Ka-band and G-band) radar estimates of liquid water content profiles in shallow clouds

Juan M. Socuellamos, Raquel Rodriguez Monje, Matthew D. Lebsock, Ken B. Cooper, and Pavlos Kollias

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Cited articles

Albrecht, B. A., Fairall, C. W., Thomson, D. W., and White, A. B.: Surface-based Remote Sensing of the Observed and the Adiabatic Liquid Water Content of Stratocumulus Clouds, Geophys. Res. Lett., 17, 89–92, https://doi.org/10.1029/GL017i001p00089, 1990. 
Atlas, D.: The Estimation of Cloud Parameters by Radar, Atmos. Sci., 11, 309–317, https://doi.org/10.1175/1520-0469(1954)011<309:TEOCPB>2.0.CO;2, 1954. 
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. 
Battaglia, A., Kollias, P., Dhillon, R., Roy, R., Tanelli, S., Lamer, K., Grecu, M., Lebsock, M., Watters, D., Mroz, K., Heymsfield, G., Li, L., and Furukawa, K.: Spaceborne cloud and precipitation radars: status, challenges, and ways forward, Rev. Geophys., 58, e2019RG000686, https://doi.org/10.1029/2019rg000686, 2020. 
Bony, S. and Dufresne, J.: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models, Geophys. Res. Lett., 32, L20806, https://doi.org/10.1029/2005GL023851, 2005. 
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Short summary
This article presents a novel technique to estimate liquid water content (LWC) profiles in shallow warm clouds using a pair of collocated Ka-band (35 GHz) and G-band (239 GHz) radars. We demonstrate that the use of a G-band radar allows retrieving the LWC with 3 times better accuracy than previous works reported in the literature, providing improved ability to understand the vertical profile of LWC and characterize microphysical and dynamical processes more precisely in shallow clouds.