Articles | Volume 16, issue 8
https://doi.org/10.5194/amt-16-2089-2023
https://doi.org/10.5194/amt-16-2089-2023
Research article
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20 Apr 2023
Research article | Highlight paper |  | 20 Apr 2023

Evaluation of polarimetric ice microphysical retrievals with OLYMPEX campaign data

Armin Blanke, Andrew J. Heymsfield, Manuel Moser, and Silke Trömel

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Cited articles

Allabakash, S., Lim, S., Chandrasekar, V., Min, K., Choi, J., and Jang, B.: X-band dual-polarization radar observations of snow growth processes of a severe winter storm: Case of 12 December 2013 in South Korea, J. Atmos. Ocean. Tech., 36, 1217–1235, https://doi.org/10.1175/JTECH-D-18-0076.1, 2019. a
Aydin, K. and Tang, C.: Relationships between IWC and polarimetric radar measurands at 94 and 220 GHz for hexagonal columns and plates, J. Atmos. Ocean. Tech., 14, 1055–1063, https://doi.org/10.1175/1520-0426(1997)014<1055:RBIAPR>2.0.CO;2, 1997. a
Baker, B. and Lawson, R. P.: Improvement in determination of ice water content from two-dimensional particle imagery. Part I: Image-to-mass relationships, J. Appl. Meteorol. Clim., 45, 1282–1290, https://doi.org/10.1175/JAM2398.1, 2006. a
Bansemer, A.: System for OAP Data Analysis, v2.23.0, Zenodo [code], https://doi.org/10.5281/zenodo.7803116, 2023. a
Baumgardner, D. and Rodi, A.: Laboratory and wind tunnel evaluations of the Rosemount icing detector, J. Atmos. Ocean. Tech., 6, 971–979, https://doi.org/10.1175/1520-0426(1989)006<0971:LAWTEO>2.0.CO;2, 1989. a
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Executive editor
This study evaluates many currently available conventional and polarimetric radar-based remote-sensing retrievals of ice water content, total number concentration and mean diameter of ice hydrometeors. It has the potential to become a reference for the assessment of measurement uncertainties from radar observations for which no in-situ reference data are available.
Short summary
We present an evaluation of current retrieval techniques in the ice phase applied to polarimetric radar measurements with collocated in situ observations of aircraft conducted over the Olympic Mountains, Washington State, during winter 2015. Radar estimates of ice properties agreed most with aircraft observations in regions with pronounced radar signatures, but uncertainties were identified that indicate issues of some retrievals, particularly in warmer temperature regimes.