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

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jussi Leinonen on behalf of the Authors (17 Jul 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (30 Jul 2018) by Mark Kulie
RR by Anonymous Referee #2 (09 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (22 Aug 2018) by Mark Kulie
AR by Jussi Leinonen on behalf of the Authors (29 Aug 2018)  Author's response   Manuscript 
ED: Publish as is (12 Sep 2018) by Mark Kulie
AR by Jussi Leinonen on behalf of the Authors (13 Sep 2018)
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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.