06 Jan 2021

06 Jan 2021

Review status: this preprint is currently under review for the journal ACP.

Deciphering Organization of GOES–16 Green Cumulus, through the EOF Lens

Tom Dror, Mickaël D. Chekroun, Orit Altaratz, and Ilan Koren Tom Dror et al.
  • Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel

Abstract. A subset of continental shallow convective Cumulus (Cu) cloud fields were shown to have unique spatial properties and to form mostly over forests and vegetated areas, thus referred to as green Cu. Green Cu fields are known to form organized mesoscale patterns, yet the underlying mechanisms as well as the time variability of these patterns are still lacking understanding. Here, we characterize the organization of green Cu in space and time, by using data driven organization metrics, and by applying an Empirical Orthogonal Function (EOF) analysis to a high-resolution GOES–16 dataset. We extract, quantify and reveal modes of organization present in a green Cu field, during the course of a day. The EOF decomposition is able to show the field's key organization features such as cloud streets, and it also delineates the less visible ones, as the propagation of gravity waves (GW), and the emergence of a highly organized grid on a spatial scale of hundreds of kilometers, over a time period that scales with the field's lifetime. Using cloud fields that were reconstructed from different subgroups of modes, we quantify the cloud street's wavelength and aspect ratio, as well as the GW dominant period.

Tom Dror et al.

Status: open (until 13 May 2021)

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 reply

Tom Dror et al.

Video supplement

Cloud field evolution – video Tom Dror, Mickael D. Chekroun, Orit Altaratz, and Ilan Koren

Tom Dror et al.


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Short summary
Part of continental shallow convective cumulus were shown to share properties such as their organization and formation over vegetated areas, thus named green Cu. The mechanisms behind the formed patterns and their evolution is not understood. We use different metrics and an EOF analysis to decompose the dataset, quantify organization factors such as cloud streets and gravity waves. We show that the clouds form a highly grid structure over hundreds of km, at a time span of the field lifetime.