Triple-frequency radar retrieval of microphysical properties of snow

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

doi:https://doi.org/10.5194/amt-14-7243-2021

Articles | Volume 14, issue 11

https://doi.org/10.5194/amt-14-7243-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-7243-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

ARTS Microwave Single Scattering Properties Database (1.1.0) Robin Ekelund, Manfred Brath, Jana Mendrok, and Patrick Eriksson https://doi.org/10.5281/zenodo.4646605

GPM Ground Validation UND Citation Cloud Microphysics OLYMPEX Michael R. Poellot, Andrew J. Heymsfield and Aaron Bansemer https://doi.org/10.5067/GPMGV/OLYMPEX/MULTIPLE/DATA201

GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS IPHEx Michael R. Poellot and Andrew J Heymsfield https://doi.org/10.5067/GPMGV/IPHEX/MULTIPLE/DATA201

PM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS MC3E David Delene and Michael R. Poellot https://doi.org/10.5067/GPMGV/MC3E/MULTIPLE/DATA201

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.