Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5471-2018
https://doi.org/10.5194/amt-11-5471-2018
Research article
 | 
05 Oct 2018
Research article |  | 05 Oct 2018

Retrieval of snowflake microphysical properties from multifrequency radar observations

Jussi Leinonen, Matthew D. Lebsock, Simone Tanelli, Ousmane O. Sy, Brenda Dolan, Randy J. Chase, Joseph A. Finlon, Annakaisa von Lerber, and Dmitri Moisseev

Data sets

GPM Ground Validation Airborne Precipitation Radar 3rd Generation (APR-3) OLYMPEX V2, Dataset available online from the NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, Huntsville, Alabama, USA S. L. Durden and S. Tanelli https://doi.org/10.5067/GPMGV/OLYMPEX/APR3/DATA201

GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar OLYMPEX V2. Dataset available online from the NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, Huntsville, Alabama, USA D. Wolff, D. Marks, W. A. Petersen, and J. Pippitt https://doi.org/10.5067/GPMGV/OLYMPEX/NPOL/DATA301

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Short summary
We developed a technique for inferring the physical properties (amount, size and density) of falling snow from radar observations made using multiple different frequencies. We tested this method using measurements from airborne radar and compared the results to direct measurements from another aircraft, as well as ground-based radar. The results demonstrate that multifrequency radars have significant advantages over those with a single frequency in determining the snow size and density.