Articles | Volume 19, issue 12
https://doi.org/10.5194/amt-19-4099-2026
https://doi.org/10.5194/amt-19-4099-2026
Research article
 | 
24 Jun 2026
Research article |  | 24 Jun 2026

Evaluation of ice hydrometeor retrieval using multi-band radar and millimeter-wave radiometer measurements from the IMPACTS campaign

Keiichi Ohara and Hirohiko Masunaga

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Synergy of millimeter-wave radar and radiometer measurements for retrieving frozen hydrometeors in deep convective systems
Keiichi Ohara and Hirohiko Masunaga
Atmos. Meas. Tech., 18, 4791–4807, https://doi.org/10.5194/amt-18-4791-2025,https://doi.org/10.5194/amt-18-4791-2025, 2025
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Cited articles

Aoki, S., Kubota, T., and Turk, F. J.: Exploring vertical motions in convective and stratiform precipitation using spaceborne radar observations: insights from EarthCARE and GPM coincidence dataset, Atmos. Meas. Tech., 19, 79–100, https://doi.org/10.5194/amt-19-79-2026, 2026. 
Austin, R. T., Heymsfield, A. J., and Stephens, G. L.: Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature, J. Geophys. Res., 114, https://doi.org/10.1029/2008jd010049, 2009. 
Bailey, M. and Hallett, J.: Growth rates and habits of ice crystals between −20° and −70 °C, J. Atmos. Sci., 61, 514–544, 2004. 
Bailey, M. P. and Hallett, J.: A Comprehensive Habit Diagram for Atmospheric Ice Crystals: Confirmation from the Laboratory, AIRS II, and Other Field Studies, J. Atmos. Sci., 66, 2888–2899, 2009. 
Cazenave, Q., Ceccaldi, M., Delanoë, J., Pelon, J., Groß, S., and Heymsfield, A.: Evolution of DARDAR-CLOUD ice cloud retrievals: new parameters and impacts on the retrieved microphysical properties, Atmos. Meas. Tech., 12, 2819–2835, https://doi.org/10.5194/amt-12-2819-2019, 2019. 
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Short summary
The properties of cloud ice, snow, and graupel remain difficult to estimate accurately. This study synergistically uses two airborne radars and millimeter-wave radiometer observations to estimate vertical distribution of ice mass, size, number density, fall speed, and vertical air motion. The proposed algorithm is proven to attain reasonable performance in comparison with in-situ measurements of cloud properties, demonstrating improved accuracy in deep cloud layers owing to multi-sensor synergy.
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