Articles | Volume 5, issue 2
https://doi.org/10.5194/wcd-5-609-2024
https://doi.org/10.5194/wcd-5-609-2024
Research article
 | 
25 Apr 2024
Research article |  | 25 Apr 2024

Exploring the daytime boundary layer evolution based on Doppler spectrum width from multiple coplanar wind lidars during CROSSINN

Nevio Babić, Bianca Adler, Alexander Gohm, Manuela Lehner, and Norbert Kalthoff

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Cited articles

Adler, B. and Kalthoff, N.: Multi-scale transport processes observed in the boundary layer over a mountainous island, Bound.-Lay. Meteorol., 153, 515–537, https://doi.org/10.1007/s10546-014-9957-8, 2014. a, b
Adler, B. and Kalthoff, N.: The impact of upstream flow on the atmospheric boundary layer in a valley on a mountainous island, Bound.-Lay. Meteorol., 158, 429–452, https://doi.org/10.1007/s10546-015-0092-y, 2016. a, b
Adler, B., Kalthoff, N., and Kiseleva, O.: Detection of structures in the horizontal wind field over complex terrain using coplanar Doppler lidar scans, Meteorol. Z., 29, 467–481, https://doi.org/10.1127/metz/2020/1031, 2020. a, b
Adler, B., Babić, N., Kalthoff, N., Corsmeier, U., Kottmeier, C., and Mallaun, C.: CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) – Aircraft data set [FDLR], KITopen [data set], https://doi.org/10.5445/IR/1000127862, 2021a. a
Adler, B., Babić, N., Kalthoff, N., and Wieser, A.: CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) – KITcube data sets [WLS200s], KITopen [data set], https://doi.org/10.5445/IR/1000127847, 2021b. a
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Short summary
Day-to-day weather over mountains remains a significant challenge in the domain of weather forecast. Using a combination of measurements from several instrument platforms, including Doppler lidars, aircraft, and radiosondes, we developed a method that relies primarily on turbulence characteristics of the lowest layers of the atmosphere. As a result, we identified new ways in which atmosphere behaves over mountains during daytime, which may serve to further improve forecasting capabilities.