Articles | Volume 14, issue 11
Research article
17 Nov 2021
Research article |  | 17 Nov 2021

Triple-frequency radar retrieval of microphysical properties of snow

Kamil Mroz, Alessandro Battaglia, Cuong Nguyen, Andrew Heymsfield, Alain Protat, and Mengistu Wolde

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Cited articles

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,, 2020a. a
Battaglia, A., Tanelli, S., Tridon, F., Kneifel, S., Leinonen, J., and Kollias, P.: Satellite Precipitation Measurement, Advances in Global Change Research, Vol. 67, Springer, Cham, ISBN: 978-3-030-24567-2, 2020b. a
Delene, D. and Poellot, M. R.: GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS MC3E, NASA Global Hydrology Resource Center DAAC [data set], Huntsville, Alabama, U.S.A.,, 2012. a
Ekelund, R., Eriksson, P., and Kahnert, M.: Microwave single-scattering properties of non-spheroidal raindrops, Atmos. Meas. Tech., 13, 6933–6944,, 2020a. a
Ekelund, R., Brath, M., Mendrok, J., and Eriksson, P.: ARTS Microwave Single Scattering Properties Database (1.1.0), Zenodo [data set],, 2020b. a
Short summary
A method for estimating microphysical properties of ice clouds based on radar measurements is presented. The algorithm exploits the information provided by differences in the radar response at different frequency bands in relation to changes in the snow morphology. The inversion scheme is based on a statistical relation between the radar simulations and the properties of snow calculated from in-cloud sampling.