Analysis of the microphysical properties of snowfall using scanning polarimetric and vertically pointing multi-frequency Doppler radars

Oue, Mariko; Kollias, Pavlos; Matrosov, Sergey Y.; Battaglia, Alessandro; Ryzhkov, Alexander V.

doi:https://doi.org/10.5194/amt-14-4893-2021

Articles | Volume 14, issue 7

https://doi.org/10.5194/amt-14-4893-2021

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

https://doi.org/10.5194/amt-14-4893-2021

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

Articles | Volume 14, issue 7

Research article

|

12 Jul 2021

Research article |

| 12 Jul 2021

Analysis of the microphysical properties of snowfall using scanning polarimetric and vertically pointing multi-frequency Doppler radars

Mariko Oue, Pavlos Kollias, Sergey Y. Matrosov, Alessandro Battaglia, and Alexander V. Ryzhkov

Data sets

Stony Brook Radar Observatory radar data for February 20, 2019 (2021) M. Oue https://commons.library.stonybrook.edu/somasdata/11

Short summary

Multi-wavelength radar measurements provide capabilities to identify ice particle types and growth processes in clouds beyond the capabilities of single-frequency radar measurements. This study introduces Doppler velocity and polarimetric radar observables into the multi-wavelength radar reflectivity measurement to improve identification analysis. The analysis clearly discerns snowflake aggregation and riming processes and even early stages of riming.