
Project
Understanding cloud patterns to quantify Earth’s climate sensitivity
The tropical oceans are blanketed by shallow convective clouds, which cool the planet. These “trade cumuli” are almost always organised into striking patterns of tens to hundreds of kilometres across, which arise from a subtle interplay between clouds and circulations. In this project, we work to understand this cloud-circulation coupling, and its sensitivity to changes in climate, to ultimately understand how rapidly Earth is warming, from new observations and high-resolution modeling.
In recent years, we have made major advances in observing and simulating the spatial organisation of tropical shallow clouds. Yet we miss systematic theories for why they organise the way they do, and how they shape our climate. We advance this understanding by studying observations from the large, international field campaigns EUREC4A and ORCESTRA, satellite observations, and large-domain large-eddy simulations using the DALES and MicroHH models, across a hierarchy of realism.
Header image: NASA Worldview, captured by the MODIS instrument aboard the Terra satellite on 15 January 2024
Publications
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Cloud Patterns in the Trades Have Four Interpretable Dimensions
Geophysical Research Letters (2021), Volume: 48, Issue: 5 - ISSN 0094-8276 -
Cloud Botany: Shallow Cumulus Clouds in an Ensemble of Idealized Large‐Domain Large‐Eddy Simulations of the Trades
Journal of Advances in Modeling Earth Systems (2023), Volume: 15, Issue: 11 - ISSN 1942-2466 -
External Drivers and Mesoscale Self-Organization of Shallow Cold Pools in the Trade-Wind Regime
Journal of Advances in Modeling Earth Systems (2025), Volume: 17, Issue: 1 - ISSN 1942-2466 -
Symmetry in Mesoscale Circulations Explains Weak Impact of Trade Cumulus Self-Organization on the Radiation Budget in Large-Eddy Simulations
Geophysical Research Letters (2025), Volume: 52, Issue: 3 - ISSN 0094-8276