Idealized simulations of the tropical atmosphere have predicted that clouds can spontaneously clump together in space, despite perfectly homogeneous settings. This phenomenon has been called self-aggregation, and it results in a state where a moist cloudy region with intense deep convective storms is surrounded by extremely dry subsiding air devoid of deep clouds.
Since the beginning of the project CLUSTER, our work helped clarify the physics of this phenomenon, in theoretical simple models and in numerical models in idealized settings, highlighting the physical processes believed to play a key role in convective self-aggregation. We investigated in detail the role of the two feedbacks recently identified as being key for aggregation, the radiative feedback and the moisture-memory (Hwong & Muller 2024, GRL). This led to several publications including a review article on theoretical advances in our understanding of cloud clustering (Muller et al 2022, ARFM) and a publication in physics today which was highlighted on their cover (Muller & Abramian 2023, Phys. Today).
Beyond idealized models and theory, more complex settings were investigated, as well as data collected during the observational campaign EUREC4A, which led to several publications (e.g. Albright et al 2021, ESCD; Fildier et al 2023, AGU Advances). We also contributed to the growing literature on the importance and implications of this phenomenon for the tropical atmosphere, notably for precipitation extremes (Bao et al, 2024 Sciences Advances) and tropical cyclones (Polesello et al 2025, JAMES). These results received media coverage, invited talks (including a keynote talk at a recent Hackathon (May 2025 MPI-Hamburg) and were presented in outreach events (such as Pint of Science, Think and Drink or high school climate events).
Overall, by combining theoretical analysis, high-resolution modelling, and both in-situ and satellite observations, CLUSTER has advanced our understanding of the physical mechanisms underpinning convective aggregation. It has also helped quantify the impact of convective organisation on tropical cyclones, precipitation extremes, and the overall energy balance of the tropics. Notably, as the climate warms, changes in convective organisation are expected to amplify precipitation extremes beyond what thermodynamics alone would predict. Therefore, incorporating convective organisation into climate models is essential for improving rainfall projections in a warming world.