Quantification and assessment of the atmospheric boundary layer height measured during the AWAKEN experiment by a scanning LiDAR

• Published in: Journal of renewable and sustainable energy 2024-10, Vol.16 (5)
• Main Authors: Puccioni, M., Moss, C. F., Solari, M. S., Roy, S., Iungo, G. V., Wharton, S., Moriarty, P.
• Format: Article
• Language: English
• Subjects: Atmospheric boundary layer; Atmospheric science; Brunt-Vaisala frequency; Height; Lidar; Light detection and ranging; Parameters; Radiosondes; Remote sensing; Seasonal variations; Solar radiation; Stability; Velocity measurement; Wind energy
• ISSN: 1941-7012; 1941-7012
• DOI: 10.1063/5.0211259

The atmospheric boundary layer (ABL) height plays a key role in many atmospheric processes as one of the dominant flow length scales. However, a systematic quantification of the ABL height over the entire range of scales (i.e., with periods ranging from one minute to one year) is still lacking in literature. In this work, the ABL height is quantified based on high-resolution measurements collected by a scanning pulsed Doppler LiDAR during the recent American WAKE experimeNt (AWAKEN) campaign. The high availability of ABL height estimates ( ≈2200 collected over one year and each of them based on 10-min averaged statistics) allows to robustly assess five different ABL height models, i.e., one for convective thermal conditions and four for stable conditions. Thermal condition is quantified by a stability parameter spanning three orders of magnitude and probed by near-ground 3D sonic anemometry. The free-atmosphere stability, quantified by the Brunt–Väisälä frequency, is both calculated from simultaneous radiosonde measurements and obtained from the best fit of two of the chosen ABL height models. Good agreement is found between the data and three of the chosen models, quantified by mean absolute errors on the ABL height between 281 and 585 m. Furthermore, the seasonal variability of the convective ABL height model parameters (−15% to +23% with respect to the year baseline) agrees with the variability of buoyancy-generated turbulence caused by the variation in solar radiation throughout the year.