Articles | Volume 10, issue 7
Atmos. Meas. Tech., 10, 2557–2571, 2017
https://doi.org/10.5194/amt-10-2557-2017
Atmos. Meas. Tech., 10, 2557–2571, 2017
https://doi.org/10.5194/amt-10-2557-2017

Research article 20 Jul 2017

Research article | 20 Jul 2017

A variational technique to estimate snowfall rate from coincident radar, snowflake, and fall-speed observations

Steven J. Cooper et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Steven Cooper on behalf of the Authors (27 Apr 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 May 2017) by Dominique Ruffieux
RR by Anonymous Referee #1 (18 May 2017)
RR by Anonymous Referee #2 (24 May 2017)
ED: Publish subject to minor revisions (Editor review) (08 Jun 2017) by Dominique Ruffieux
AR by Steven Cooper on behalf of the Authors (12 Jun 2017)  Author's response    Manuscript
ED: Publish as is (13 Jun 2017) by Dominique Ruffieux
Download
Short summary
Estimates of snowfall rate as derived from radar observations can suffer large uncertainties due to great natural variability in snowflake microphysical properties. We used in situ observations of particle size, shape, and fall speed to refine radar-based estimates of snowfall for five snow events at the ARM Barrow Climate Research Facility. Estimated snowfall amounts agreed well with nearby snow gauge observations and demonstrated significant sensitivity to both particle shape and fall speed.