Clouds are the largest source of uncertainty in climate science, and remain a weak link in modeling tropical circulation. A major challenge is to establish connections between particulate microphysics and macroscale turbulent dynamics in cumulus clouds. Here we address the issue from the latter standpoint. First we show how to create bench-scale flows that reproduce a variety of cumulus-cloud forms (including two genera and three species), and track complete cloud life cycles-e.g., from a "cauliflower" congestus to a dissipating fractus. The flow model used is a transient plume with volumetric diabatic heating scaled dynamically to simulate latent-heat release from phase changes in clouds. Laser-based diagnostics of steady plumes reveal Riehl-Malkus type protected cores. They also show that, unlike the constancy implied by early self-similar plume models, the diabatic heating raises the Taylor entrainment coefficient just above cloud base, depressing it at higher levels. This behavior is consistent with cloud-dilution rates found in recent numerical simulations of steady deep convection, and with aircraft-based observations of homogeneous mixing in clouds. In-cloud diabatic heating thus emerges as the key driver in cloud development, and could well provide a major link between microphysics and cloud-scale dynamics.cloud fluid dynamics | off-source heating | anomalous entrainment | turbulent mixing C louds have been termed the "big bad player in global warming" (1) and are listed among the most urgent scientific problems requiring attention by the Intergovernmental Panel on Climate Change (2); more effective cumulus parameterization schemes can significantly improve predictions of the Indian monsoons. In particular, convective clouds (3) represent a set of complex interactions among microphysics, flow turbulence, and radiation (4). They involve multiple phases, some of which change into each other releasing or absorbing considerable quantities of heat, whereas many (including aerosols) affect radiative transfer. Much attention has recently been devoted to investigating the interaction between fine-scale cloud turbulence and waterdroplet distribution and growth, and between cloud and radiation (2, 4-6). However, cloud-scale dynamical processes, in particular the entrainment and mixing that affect microphysics (2), rain formation (7), and cloud lifespan, remain puzzles despite numerous studies over the last five decades. To this day there are no satisfactory fluid-dynamical models for cloud flows, and entrainment continues to remain a matter of deep concern (8). In fact, the connections between cloud fluid dynamics and microphysics pose a major scientific challenge (9).Here we show how a variety of observed cumulus-cloud types (sometimes even shapes), and their associated life cycles, can be successfully simulated in the laboratory. This capability enables direct measurement of entrainment rates using laser-Doppler and particle-image velocimetry. The data so obtained exhibit the so-called anomalous entrainment char...