Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-5071-2019
https://doi.org/10.5194/amt-12-5071-2019
Research article
 | 
23 Sep 2019
Research article |  | 23 Sep 2019

Toward autonomous surface-based infrared remote sensing of polar clouds: retrievals of cloud optical and microphysical properties

Penny M. Rowe, Christopher J. Cox, Steven Neshyba, and Von P. Walden

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 Penny Rowe on behalf of the Authors (20 Aug 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (21 Aug 2019) by Andrew Sayer
RR by Bryan A. Baum (21 Aug 2019)
ED: Publish subject to technical corrections (22 Aug 2019) by Andrew Sayer
AR by Penny Rowe on behalf of the Authors (22 Aug 2019)  Manuscript 
Download
Short summary
A better understanding of polar clouds is needed for predicting climate change, including cloud thickness and the sizes and amounts of liquid droplets and ice crystals. These properties can be estimated from an instrument (an infrared spectrometer) that sits on the surface and measures how much infrared radiation is emitted by the cloud. In this work we use model data to investigate how well such an instrument could retrieve cloud properties for different instrument and error characteristics.