Abstract
Abstract. During the EUREC4A field experiment that took place over the tropical Atlantic Ocean east of Barbados, the French ATR 42 environment research aircraft of SAFIRE aimed to characterize the shallow cloud properties near cloud base and the turbulent structure of the subcloud layer. For this purpose, the aircraft payload included radar and lidar remote sensing, microphysical probes, a laser spectrometer, and meteorological sensors. In particular, the aircraft was equipped with a five-hole radome nose as well as several temperature and moisture sensors allowing for measurements of wind, temperature and humidity at 25 Hz. This paper presents the high-frequency measurements made with these sensors and their translation in terms of turbulent fluctuations, turbulent moments and characteristic length scales of turbulence. A particular focus is on the calibration and the quality control of the air moisture measurements, which remain a challenge at fine scales. Level-2 and Level-3 data are distributed as an ensemble of NetCDF files available to the public at AERIS (https://doi.org/10.25326/128, Lothon and Brilouet, 2020).
Highlights
For many decades, difficulties in quantifying the strength of the low-level cloud feedback, especially in the trade-wind regions, have hindered precise estimates of the climate sensitivity
This paper describes the EUREC4A dataset containing the turbulent fluctuations and turbulent moments associated with the high-frequency measurements of temperature, moisture and wind from the SAFIRE ATR 42 aircraft computed over horizontal stabilized legs
This paper presents the EUREC4A turbulent dataset that has been produced based on the high-rate in situ measurements of wind, temperature and moisture from the SAFIRE ATR 42
Summary
Difficulties in quantifying the strength of the low-level cloud feedback, especially in the trade-wind regions, have hindered precise estimates of the climate sensitivity. The EUREC4A field campaign was designed to better understand what controls the trade-wind cloudiness, its mesoscale organization, and its interplay with convection and circulations over a wide range of scales (Bony et al, 2017). The characterization of the turbulence within the marine atmospheric boundary layer (MABL) plays a major role in EUREC4A, as it will help decipher the interactions between turbulence, convection and clouds, as well as the dependence of clouds on surface and large-scale conditions. This paper describes the EUREC4A dataset containing the turbulent fluctuations and turbulent moments associated with the high-frequency measurements of temperature, moisture and wind from the SAFIRE ATR 42 aircraft computed over horizontal stabilized legs.
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