Articles | Volume 17, issue 16
https://doi.org/10.5194/acp-17-9797-2017
https://doi.org/10.5194/acp-17-9797-2017
Research article
 | 
22 Aug 2017
Research article |  | 22 Aug 2017

Top-down and bottom-up aerosol–cloud closure: towards understanding sources of uncertainty in deriving cloud shortwave radiative flux

Kevin J. Sanchez, Gregory C. Roberts, Radiance Calmer, Keri Nicoll, Eyal Hashimshoni, Daniel Rosenfeld, Jurgita Ovadnevaite, Jana Preissler, Darius Ceburnis, Colin O'Dowd, and Lynn M. Russell

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 Kevin Sanchez on behalf of the Authors (13 Jul 2017)  Author's response    Manuscript
ED: Publish as is (15 Jul 2017) by Hailong Wang
AR by Kevin Sanchez on behalf of the Authors (25 Jul 2017)  Author's response    Manuscript
Download
Short summary
Unmanned aerial vehicles are equipped with meteorological sensors to measure cloud properties. The measurements are used to calculate the amount of solar radiation reflected by the clouds and compared to simulation results. The uncertainties related to radiative forcing in the simulations are from the lack of mixing in the boundary layer and mixing of dry air into the cloud top. Conservative variables are used to calculate the amount of air mixed into cloud top to minimize these uncertainties.
Altmetrics
Final-revised paper
Preprint