Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117373
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorYan, Ten_US
dc.creatorQin, Jen_US
dc.creatorZhang, Men_US
dc.creatorZhang, Cen_US
dc.creatorZhang, Jen_US
dc.creatorLi, Yen_US
dc.date.accessioned2026-02-13T09:39:34Z-
dc.date.available2026-02-13T09:39:34Z-
dc.identifier.issn1070-6631en_US
dc.identifier.urihttp://hdl.handle.net/10397/117373-
dc.language.isoenen_US
dc.publisherAmerican Institute of Physicsen_US
dc.rights© 2026 Author(s). Published under an exclusive license by AIP Publishing.en_US
dc.rightsThis is the accepted version of the publication.en_US
dc.rightsThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Tingyuan Yan, Jingxi Qin, Mingjin Zhang, Chengtao Zhang, Jinxiang Zhang, Yongle Li; Stability-corrected wind profile model for complex mountainous terrain based on turbulence analysis. Physics of Fluids 1 January 2026; 38 (1): 016606 and may be found at https://doi.org/10.1063/5.0304964.en_US
dc.titleStability-corrected wind profile model for complex mountainous terrain based on turbulence analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage016606-1en_US
dc.identifier.epage016606-37en_US
dc.identifier.volume38en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1063/5.0304964en_US
dcterms.abstractIn complex mountainous terrain, the vertical wind field is characterized by pronounced nonstationarity, elevated mean wind speeds, and intricate turbulence structures, all of which exert considerable influence on boundary-layer environments and related applications. This study proposes an improved atmospheric stability-corrected wind profile model that integrates both mean flow and turbulence characteristics. The model constructs an empirical stability function within the Monin–Obukhov similarity theory framework and explicitly incorporates the terrain-specific behavior of universal functions in mountainous environments. In this model, atmospheric stability is computed from a discrete wavelet transform-based decomposition of wind velocity signals, which effectively captures nonstationary fluctuations in mountain wind fields. The optimal decomposition level is determined via cospectral analysis of the coupled transport between turbulent velocity and temperature, while the decomposition performance is further evaluated through correlation analysis and evolutionary power spectral density. Finally, the proposed model is validated using long-term field measurements from a mountainous site and demonstrated through a case study, confirming its capability to accurately reconstruct stability-corrected wind profiles up to several hundred meters above ground.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysics of fluids, Jan. 2026, v. 38, no. 1, 016606, p. 016606-1 - 016606-37en_US
dcterms.isPartOfPhysics of fluidsen_US
dcterms.issued2026-01-
dc.identifier.scopus2-s2.0-105028161262-
dc.identifier.eissn1089-7666en_US
dc.identifier.artn016606en_US
dc.description.validate202602 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.SubFormIDG001050/2026-02-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work conducted for this paper was supported by the National Natural Science Foundation of China (No.52278533) and the Natural Science Foundation of Sichuan Province (Nos. 2023NSFSC1961 and 2022NSFSC0004).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-01-31 (Version of Record)en_US
dc.description.oaCategoryVoR alloweden_US
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