1. Dynamics of the Atmospheric Boundary Layer over two middle-latitude rural sites with Doppler lidar
- Author
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Pablo Ortiz-Amezcua, Juana Andújar-Maqueda, Antti J. Manninen, Pyry Pentikäinen, Ewan J. O'Connor, Iwona S. Stachlewska, Gregori de Arruda Moreira, José Antonio Benavent-Oltra, Juan Andrés Casquero-Vera, Patryk Poczta, Dongxiang Wang, Kamila M. Harenda, Bogdan H. Chojnicki, Dominika M. Szczepanik, Łucja Janicka, Dirk Schüttemeyer, Lucas Alados-Arboledas, Juan Luis Guerrero-Rascado, Institute for Atmospheric and Earth System Research (INAR), and INAR Physics
- Subjects
Turbulence ,Doppler lidar ,Olive orchard ,Atmospheric Science ,Rural boundary layer ,Peatland ,Wind ,114 Physical sciences - Abstract
The Atmospheric Boundary Layer (ABL) over two middle-latitude rural sites was characterized in terms of mean horizontal wind and turbulence sources using a standard classification methodology based on Doppler lidar. The first location was an irrigated olive orchard in Úbeda (Southern Spain), representing one of the most important crops in the Mediterranean basin and a typical site with Mediterranean climate. The second location was PolWET peatland site in Rzecin (Northwestern Poland), representing one of the largest natural terrestrial carbon storages that have a strong interaction with the climate system. The results showed typical situations for non cloud-topped ABL cases, where ABL is fully developed during daytime due to convection, with high turbulent activity and strong positive skewness indicating frequent and powerful updrafts. The cloud-topped cases showed the strong influence that clouds can have on ABL development, preventing it to reach the same maximum height and introducing top-down movements as an important contribution to mixing. The statistical analysis of turbulent sources allowed for finding a common diurnal cycle for convective mixing at both sites, but nocturnal wind shear driven turbulence with marked differences in its vertical distribution. This analysis demonstrates the Doppler lidar measurements and the classification algorithm strong potential to characterize the dynamics of ABL in its full extent and with high temporal resolution. Moreover, some recommendations for future improvement of the classification algorithm were provided on the basis of the experience gained., Fundacion Ramon Areces, European Space Agency 4000119961/16/NL/FF/mg, Polish National Science Centre (NCN) 2021/40/C/ST10/00023, Spanish Government CGL2015-73250-JIN CGL201681092-R CGL2017-83538-C3-1-R CGL2017-90884-REDT PID2020117825GB-C21 PID2020-120015RB-100, Andalusian Regional Government P18-RT-3820, FEDER-UGR program ARNM-430-UGR20, University of Granada, ACTRIS-2 Research Infrastructure Project of the European Union's Horizon 2020 research and innovation program 654109, European Cooperation in Science and Technology (COST) CA18235, Universidad de Granada/CBUA
- Published
- 2022
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