Articles | Volume 21, issue 16
Atmos. Chem. Phys., 21, 12261–12272, 2021
https://doi.org/10.5194/acp-21-12261-2021
Atmos. Chem. Phys., 21, 12261–12272, 2021
https://doi.org/10.5194/acp-21-12261-2021

Research article 16 Aug 2021

Research article | 16 Aug 2021

Deciphering organization of GOES-16 green cumulus through the empirical orthogonal function (EOF) lens

Tom Dror et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2020-1242', Anonymous Referee #1, 25 Mar 2021
  • RC2: 'Comment on acp-2020-1242', Anonymous Referee #2, 04 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ilan Koren on behalf of the Authors (13 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (14 Jul 2021) by Timothy Garrett
Download
Short summary
A part of continental shallow convective cumulus (Cu) was shown to share properties such as organization and formation over vegetated areas, thus named green Cu. Mechanisms behind the formed patterns are not understood. We use different metrics and an empirical orthogonal function (EOF) to decompose the dataset and quantify organization factors (cloud streets and gravity waves). We show that clouds form a highly organized grid structure over hundreds of kilometers at the field lifetime.
Altmetrics
Final-revised paper
Preprint