Sunglint imprints of steady subcloud cells anchoring intermittent trade cumulus

Abstract How can seemingly random, shallow trade-wind clouds be predicted and their climate impact better evaluated? These clouds cool the planet but are hard to represent because they appear sparse and short-lived. We show that, beneath this apparent disorder, the flow is organized as a dense lattice of steady convective cells that tile the subcloud layer. These cells form the dynamic backbone of the cloud field, with their updraft walls serving as persistent launch points for cloud plumes. Spaceborne ocean-sunglint observations reveal a matching 1-2 km cellular texture beneath sparse cloud cover, consistent with the subcloud convective cells’ morphology. Together, the modeled dynamics and sunglint fingerprint reframe trade cumulus as organized from below, suggesting a physics-based route to reduce climate-model uncertainty.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2026-05-12
DOI
https://doi.org/10.1038/s41612-026-01427-3
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
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article

Sunglint imprints of steady subcloud cells anchoring intermittent trade cumulus

Y. Arieli, Bar Moisa, Orit Altaratz, Ilan Koren
npj Climate and Atmospheric Science
Atmospheric aerosols and clouds
article

Sunglint imprints of steady subcloud cells anchoring intermittent trade cumulus

Y. Arieli, Bar Moisa, Orit Altaratz, Ilan Koren
article en

Abstract

Abstract How can seemingly random, shallow trade-wind clouds be predicted and their climate impact better evaluated? These clouds cool the planet but are hard to represent because they appear sparse and short-lived. We show that, beneath this apparent disorder, the flow is organized as a dense lattice of steady convective cells that tile the subcloud layer. These cells form the dynamic backbone of the cloud field, with their updraft walls serving as persistent launch points for cloud plumes. Spaceborne ocean-sunglint observations reveal a matching 1-2 km cellular texture beneath sparse cloud cover, consistent with the subcloud convective cells’ morphology. Together, the modeled dynamics and sunglint fingerprint reframe trade cumulus as organized from below, suggesting a physics-based route to reduce climate-model uncertainty.

npj Climate and Atmospheric Science
Weizmann Institute of Science (IL)
Climate action
Openalex Percentile: Top 5%
Atmospheric aerosols and clouds
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Sunglint imprints of steady subcloud cells anchoring intermittent trade cumulus — Y. Arieli, Bar Moisa, et al. · npj Climate and Atmospheric Science (2026) | TGRS Research Map | TGRS