Articles | Volume 12, issue 6
Research article
06 Jun 2019
Research article |  | 06 Jun 2019

Revisiting particle sizing using greyscale optical array probes: evaluation using laboratory experiments and synthetic data

Sebastian J. O'Shea, Jonathan Crosier, James Dorsey, Waldemar Schledewitz, Ian Crawford, Stephan Borrmann, Richard Cotton, and Aaron Bansemer


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 Sebastian O'Shea on behalf of the Authors (24 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Mar 2019) by Andrew Sayer
RR by Jeff French (20 Apr 2019)
RR by David Delene (29 Apr 2019)
ED: Publish subject to minor revisions (review by editor) (03 May 2019) by Andrew Sayer
AR by Anna Wenzel on behalf of the Authors (07 May 2019)  Author's response
ED: Publish as is (08 May 2019) by Andrew Sayer
Short summary
Optical array probe measurements of clouds are widely used to inform and validate numerical weather and climate models. In this paper, we discuss artefacts which may bias data from these instruments. Using laboratory and synthetic datasets, we demonstrate how greyscale analysis can be used to filter data, constraining the sample volume and improving data quality particularly at small sizes where their measurements are considered unreliable.