Articles | Volume 14, issue 10
Atmos. Meas. Tech., 14, 6885–6904, 2021
https://doi.org/10.5194/amt-14-6885-2021
Atmos. Meas. Tech., 14, 6885–6904, 2021
https://doi.org/10.5194/amt-14-6885-2021

Research article 26 Oct 2021

Research article | 26 Oct 2021

Retrieving microphysical properties of concurrent pristine ice and snow using polarimetric radar observations

Nicholas J. Kedzuf et al.

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Cited articles

Abel, S. J., Cotton, R. J., Barrett, P. A., and Vance, A. K.: A comparison of ice water content measurement techniques on the FAAM BAe-146 aircraft, Atmos. Meas. Tech., 7, 3007–3022, https://doi.org/10.5194/amt-7-3007-2014, 2014. 
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Barrett, A. I., Westbrook, C. D., Nicol, J. C., and Stein, T. H. M.: Rapid ice aggregation process revealed through triple-wavelength Doppler spectrum radar analysis, Atmos. Chem. Phys., 19, 5753–5769, https://doi.org/10.5194/acp-19-5753-2019, 2019. 
Bennett, L.: NCAS mobile X-band radar scan data from 1st November 2016 to 4th June 2018 deployed on long-term observations at the Chilbolton Facility for Atmospheric and Radio Research (CFARR), Hampshire, UK, Centre for Environmental Data Analysis [data set], https://doi.org/10.5285/ffc9ed384aea471dab35901cf62f70be, 2020. 
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Short summary
Ice clouds play a key role in our climate system due to their strong controls on precipitation and the radiation budget. However, it is difficult to characterize co-existing ice species using radar observations. We present a new method that separates the radar signals of pristine ice embedded in snow aggregates and retrieves their respective abundances and sizes for the first time. The ability to provide their quantitative microphysical properties will open up many research opportunities.