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dc.contributor.authorOrtiz Amezcua, Pablo
dc.contributor.authorAndújar Maqueda, Juana
dc.contributor.authorBenavent Oltra, José Antonio
dc.contributor.authorCasquero Vera, Juan Andrés 
dc.contributor.authorAlados Arboledas, Lucas 
dc.contributor.authorGuerrero Rascado, Juan Luis 
dc.date.accessioned2022-10-28T10:59:54Z
dc.date.available2022-10-28T10:59:54Z
dc.date.issued2022-09-08
dc.identifier.citationPablo Ortiz-Amezcua... [et al.]. Dynamics of the Atmospheric Boundary Layer over two middle-latitude rural sites with Doppler lidar, Atmospheric Research, Volume 280, 2022, 106434, ISSN 0169-8095, [https://doi.org/10.1016/j.atmosres.2022.106434]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/77615
dc.description.abstractThe 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.es_ES
dc.description.sponsorshipFundacion Ramon Areceses_ES
dc.description.sponsorshipEuropean Space Agency 4000119961/16/NL/FF/mges_ES
dc.description.sponsorshipPolish National Science Centre (NCN) 2021/40/C/ST10/00023es_ES
dc.description.sponsorshipSpanish Government CGL2015-73250-JIN CGL201681092-R CGL2017-83538-C3-1-R CGL2017-90884-REDT PID2020117825GB-C21 PID2020-120015RB-100es_ES
dc.description.sponsorshipAndalusian Regional Government P18-RT-3820es_ES
dc.description.sponsorshipFEDER-UGR program ARNM-430-UGR20es_ES
dc.description.sponsorshipUniversity of Granadaes_ES
dc.description.sponsorshipACTRIS-2 Research Infrastructure Project of the European Union's Horizon 2020 research and innovation program 654109es_ES
dc.description.sponsorshipEuropean Cooperation in Science and Technology (COST) CA18235es_ES
dc.description.sponsorshipUniversidad de Granada/CBUAes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDoppler lidares_ES
dc.subjectWindes_ES
dc.subjectTurbulencees_ES
dc.subjectRural boundary layeres_ES
dc.subjectOlive orchardes_ES
dc.subjectPeatlandes_ES
dc.titleDynamics of the Atmospheric Boundary Layer over two middle-latitude rural sites with Doppler lidares_ES
dc.typejournal articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/654109es_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.atmosres.2022.106434
dc.type.hasVersionVoRes_ES


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