The MAESTRO turbulence dataset derived from the SAFIRE ATR42 aircraft

Abstract. The MAESTRO airborne field campaign took place between August 10 and September 10 2024 over the North Atlantic tropical ocean near the Cabo Verde Islands. Its goal was to investigate the processes that control the mesoscale organization of clouds with a payload of probes and sensors, as well as vertically and horizontally-pointing radars and lidars. A particular attention was paid to the role of coherent structures in the boundary layer and mesoscale cloud organization. This focus motivated the acquisition of high-resolution measurements of temperature and water vapor to capture turbulence dynamics in the subcloud layer. To achieve this, six hygrometers and four temperature sensors were deployed, including a new fast-rate hygrometer called FAST-WAVE. This article describes the turbulence dataset, prepared on the basis of these measurements. It consists in 25 Hz segmented time series of calibrated water vapor mixing ratio, temperature, and three-dimensional wind, their corresponding fluctuations, as well as turbulent moments, and integral length scales. In total, 40 hours of stabilized legs data were gathered in a wide range of mesoscale and local cloud conditions, with nearly 13 hours consisting of high-quality boundary-layer samples. This paper describes the methodological choices made for all the computations, calibrations, and corrections that were applied to the original measurements. The collection of NetCDF files composing this dataset is publicly available on the AERIS website.