Articles | Volume 8, issue 5
https://doi.org/10.5194/amt-8-1913-2015
https://doi.org/10.5194/amt-8-1913-2015
Research article
 | 
05 May 2015
Research article |  | 05 May 2015

On the microwave optical properties of randomly oriented ice hydrometeors

P. Eriksson, M. Jamali, J. Mendrok, and S. A. Buehler

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Cited articles

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, D00A23, https://doi.org/10.1029/2008JD010049, 2009.
Baran, A. J.: From the single-scattering properties of ice crystals to climate prediction: A way forward, Atmos. Res., 112, 45–69, 2012.
Baran, A. J., Connolly, P. J., Heymsfield, A., and Bansemer, A.: Using in situ estimates of ice water content, volume extinction coefficient, and the total solar optical depth obtained during the tropical ACTIVE campaign to test an ensemble model of cirrus ice crystals, Q. J. Roy. Meteor. Soc., 137, 199–218, 2011.
Bauer, P., Moreau, E., Chevallier, F., and O'Keeffe, U.: Multiple-scattering microwave radiative transfer for data assimilation applications, Q. J. Roy. Meteor. Soc., 132, 1259–1281, 2006.
Bennartz, R. and Petty, G. W.: The sensitivity of microwave remote sensing observations of precipitation to ice particle size distributions, J. Appl. Meteorol., 40, 345–364, 2001.
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Short summary
The optical properties of randomly oriented ice hydrometeors are reviewed from a perspective of microwave mass retrievals. The soft particle approximation is found to be highly problematic, and the alternative approach presented by Geer and Baordo (2014) should instead be used. We present a simplified version of this approach, and point out several critical limitations of existing DDA data.