2016
DOI: 10.1007/s00703-016-0482-9
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Observed turbulence characteristics in unstable conditions over the city of Tehran based on similarity theory

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Cited by 4 publications
(3 citation statements)
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“…Because of the lack of horizontally and vertically uniform flux density and constant flux conditions, the MOST cannot be directly applied in the RSL and ML 13 . The local scale approach provides a solution to this issue 14 so that the log‐law has been widely applied to study wind speed profiles and obtain surface roughness parameters in the UBL based on the framework of the MOST 15–18 …”
Section: Introductionmentioning
confidence: 99%
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“…Because of the lack of horizontally and vertically uniform flux density and constant flux conditions, the MOST cannot be directly applied in the RSL and ML 13 . The local scale approach provides a solution to this issue 14 so that the log‐law has been widely applied to study wind speed profiles and obtain surface roughness parameters in the UBL based on the framework of the MOST 15–18 …”
Section: Introductionmentioning
confidence: 99%
“…13 The local scale approach provides a solution to this issue 14 so that the log-law has been widely applied to study wind speed profiles and obtain surface roughness parameters in the UBL based on the framework of the MOST. [15][16][17][18] The 325-m-tall Beijing Meteorological Tower (BMT) is a convenient facility for studying the atmospheric boundary layer and pollution diffusion in the urban city, which has attracted widespread attention from scholars. In previous studies, based on the measured data from the BMT, researchers analyzed the characteristics of the UBL in Beijing, including the surface roughness, 19 vertical turbulent transfer, 20 vertical mean wind speed and turbulence profiles, 21 thunderstorm outflows, 22 wind speed spectra, 23,24 and so forth.…”
mentioning
confidence: 99%
“…For example, vertical wind velocity data from SODAR measurements were compared against both in‐situ (e.g. Thomas and Vogt, ; Ito, ; Pegahfar and Zawar‐Reza, ) and remote sensing instruments (e.g. Bradley et al ., ).…”
Section: Introductionmentioning
confidence: 99%