Preprints
https://doi.org/10.5194/egusphere-2026-1974
https://doi.org/10.5194/egusphere-2026-1974
15 Apr 2026
 | 15 Apr 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

How rain shapes cloud-scale dynamics and mass flux in the trades

Florian Poydenot, Nina Robbins-Blanch, Zeen Zhu, and Raphaela Vogel

Abstract. Trade wind cumuli often precipitate, but the effect of rain processes on their dynamics and organization is still poorly understood. Previous observations of the vertical wind inside clouds were limited to non-precipitating conditions because the mean Doppler velocity from cloud radars is dominated by hydrometeor motion in precipitating clouds. Here, we retrieve the vertical air motion inside precipitating clouds by using the Doppler velocity spectrum from the ground-based Ka-band radars at the Barbados Cloud Observatory. We validate it against available lidar measurements. We combine the in-cloud radar-derived wind with lidar observations outside of clouds into a unified dataset spanning six years (2019–2025) at high (2s) resolution. We show that precipitating cumuli act as shallow squall lines, as predicted by recent large-eddy simulations. These clouds feature a narrow updraft at the gust front that develops up to cloud top. The wider precipitation downdraft is triggered slightly below cloud top, where the rain content is large enough, and extends down to the surface where it forms a cold pool. We show that updrafts and downdrafts contribute nearly equally to the cloud base mass flux. Their balance hinges on the downdraft intensity, likely controlled by microphysical processes. These observations can improve our understanding of tropical convection, shed light on the assumptions behind convective parameterizations and constrain cloud-resolving simulations.

Competing interests: Some authors are members of the editorial board of journal Atmospheric Chemistry and Physics.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Florian Poydenot, Nina Robbins-Blanch, Zeen Zhu, and Raphaela Vogel

Status: open (until 27 May 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Florian Poydenot, Nina Robbins-Blanch, Zeen Zhu, and Raphaela Vogel

Data sets

In-cloud vertical wind at the Barbados Cloud Observatory Florian Poydenot et al. http://doi.org/10.5281/zenodo.19221500

Florian Poydenot, Nina Robbins-Blanch, Zeen Zhu, and Raphaela Vogel
Metrics will be available soon.
Latest update: 15 Apr 2026
Download
Short summary
Trade wind cumuli often rain, which produces downward motion of the surrounding air as the raindrops evaporate. However, we do not understand well what controls this due to a lack of observations inside raining clouds. We use a combination of radar and lidar to obtain the vertical wind for six years at the Barbados Cloud Observatory. We show that trade wind cumuli are organized in similar ways to storms. These observations can help us design better models of clouds used to study the climate.
Share