Articles | Volume 12, issue 2
Research article
01 Mar 2019
Research article |  | 01 Mar 2019

Dual-wavelength radar technique development for snow rate estimation: a case study from GCPEx

Gwo-Jong Huang, Viswanathan N. Bringi, Andrew J. Newman, Gyuwon Lee, Dmitri Moisseev, and Branislav M. Notaroš


Interactive discussion

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 Anna Wenzel on behalf of the Authors (05 Nov 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Nov 2018) by S. Joseph Munchak
RR by Anonymous Referee #2 (22 Nov 2018)
RR by Anonymous Referee #3 (17 Dec 2018)
ED: Publish subject to minor revisions (review by editor) (02 Jan 2019) by S. Joseph Munchak
AR by Branislav Notaros on behalf of the Authors (13 Jan 2019)  Author's response    Manuscript
ED: Publish as is (31 Jan 2019) by S. Joseph Munchak
Short summary
This paper proposes a method for snow rate (SR) estimation using observations collected by NASA dual-frequency dual-polarized (D3R) radar during the GPM Cold-season Precipitation Experiment (GCPEx). The new method utilizes dual-wavelength radar reflectivity ratio (DWR) and 2-D-video disdrometer (2DVD) measurements to improve SR estimation accuracy. It is validated by comparing the D3R radar-retrieved SR with accumulated SR directly measured by a Pluvio gauge for an entire GCPEx synoptic event.