Abstract
Investigation of low-wind cases observed during the Urban Turbulent Project campaign (Torino, Italy) and at the Santa Maria meteorological station (Santa Maria, Brazil) provides insight into the wind-meandering phenomenon, i.e. large, non-turbulent oscillations of horizontal wind speed and temperature. Meandering and non-meandering cases are identified through analysis of the Eulerian autocorrelation functions of the horizontal wind-velocity components and temperature. When all three autocorrelation functions oscillate, meandering is present. As with weak turbulence, meandering shows no dependence on stability but is influenced by presence of buildings and depends on wind speed. We show that, while the standard deviation of the horizontal velocity is always large in low-wind conditions, the standard deviation of the vertical velocity shows very different behaviour in meandering and non-meandering conditions. In particular, the value of the ratio of the standard deviations of the vertical and horizontal velocities typifies the meandering condition.
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References
Acevedo O, Fitzjarrald D (2001) The early evening surface-layer transition: temporal and spatial variability. J Atmos Sci 58:2650–2667
Acevedo O, Oliveira P, Santos D, Silva G, Medeiros L, Quadro M, Fuentes M, Bastos M, Nedel A (2013) Estudo da turbulencencia atmosferica noturna sobre coxilhas (estancia): resultados preliminares. Ciencia e Natura 35:392–395
Agarwal P, Yadav A, Gulati A, Raman S, Rao S, Singh M, Nigam S, Reddy N (1995) Surface layer turbulence processes in low wind speeds over land. Atmos Environ 29:2089–2098
Anfossi D, Oettl D, Degrazia G, Goulart A (2005) An analysis of sonic anemometer observations in low wind speed conditions. Boundary-Layer Meteorol 114:179–203
Anfossi D, Alessandrini S, Trini Castelli S, Ferrero E, Oettl D, Degrazia G (2006) Tracer dispersion simulation in low wind speed conditions with a new 2-D Langevin equation system. Atmos Environ 40:7234–7245
Belušić D, Mahrt L (2008) Estimation of length scales from mesoscale networks. Tellus A 60:706–715
Belušić D, Güttler I (2010) Can mesoscale models reproduce meandering motions? Q J R Meteorol Soc 136:553–565
Brusasca G, Tinarelli G, Anfossi D (1992) Particle model simulation of diffusion in low wind speed stable conditions. Atmos Environ 26 A:707–723
Carvalho J, Vilhena M (2005) Pollutant dispersion simulation for low wind speed condition by the ils method. Atmos Environ 39:6282–6288
Cassardo C, Sacchetti D, Morselli M, Anfossi D, Brusasca G, Longhetto A (1995) A study of the assessment of air temperature, and sensible and latent heat fluxes from sonic anemometer observations. Nuovo Cimento 18C:419–440
Cirillo M, Poli A (1992) An inter comparison of semi empirical diffusion models under low wind speed, stable conditions. Atmos Environ 26 A:765–774
Davies B, Thomson D (1999) Comparisons of some parameterizations of wind direction variability with observations. Atmos Environ 33:4909–4917
Etling D (1990) On plume meandering under stable stratification. Atmos Environ 8:1979–1985
Ferrero E, Anfossi D, Richiardone R, Trini Castelli S, Mortarini L, Carretto E, Muraro M, Bande S, Bertoni D (2009) Urban Turbulence Project. the field experiment campaign. Internal Report ISAC-TO/02-2009 Institute of Atmospheric Sciences and Climate - CNR, Bologna, Italy, p pag. 37
Frenkiel F (1953) Turbulent diffusion: mean concentration distribution in a flow field of homogeneous turbulence. Adv App Mech 3:61–107
Gifford F (1959) Statistical properties of a fluctuating plume dispersion model. Adv Geophys 6:117–137
Goulart A, Degrazia G, Acevedo O, Anfossi D (2007) Theoretical considerations of meandering wind in simplified conditions. Boundary-Layer Meteorol 125:279–287
Hanna S (1983) Lateral turbulence intensity and plume meandering during stable conditions. J Clim App Meteorol 22:1424–1430
Hanna S (1990) Lateral dispersion in light wind stable conditions. Nuovo Cimento C 13:889–894
Hoover J, Stauffer D, Richardson S, Mahrt L, Gaudet B, Suarez A (2014) Submeso motions within the stable boundary layer and their relationships to local indicators and synoptic regime in moderately complex terrain. J Appl Meteorol 54:352–369
Joffre S, Laurila T (1988) Standard deviations of wind speed and direction from observations over a smooth surface. J Appl Meteorol 27:550–561
Kaimal J, Finnigan J (1994) Atmospheric boundary layer flows. Oxford University Press, Oxford
Kristensen L, Jensen N, Peterson E (1982) Lateral dispersion of pollutants in a very stable atmosphere—the effect of meandering. Atmos Environ 15:837–844
Luhar A (2012) Lagrangian modeling of the atmosphere, AGU Geophysical Monograph, vol 200. American Geophysical Union, chap Lagrangian particle modelling of dispersion in light winds, pp 37–51
Mahrt L (2007) Weak-wind mesoscale meandering in the nocturnal boundary layer. Environ Fluid Mech 7:331–347
Mahrt L (2011) The near-calm stable boundary layer. Boundary-Layer Meteorol 140:343–360
Mahrt L (2014) Stably stratified atmospheric boundary layers. Annu Rev Fluid Mech 46:23–45
Mahrt L, Sun J, Stauffer D (2015) Dependence of turbulent velocities on wind speed and stratification. Boundary-Layer Meteorol 155:55–71
Mortarini L, Ferrero E, Falabino S, Trini Castelli S, Richiardone R, Anfossi D (2013) Low-frequency processes and turbulence structure in a perturbed boundary layer. Q J R Meteorol Soc 139:1059–1072. doi:10.1002/qj.2015
Mortarini L, Anfossi D (2015) Proposal of an empirical velocity spectrum formula in low-wind speed conditions. Q J R Meteorol Soc 141:85–97. doi:10.1002/qj.2336
Mortarini L, Maldaner S, Moor L, Stefanello M, Acevedo O, Degrazia G, Anfossi D (2015) Temperature auto-correlation and spectra functions in low-wind meandering conditions. submitted to the Q J R Meteorol Soc
Murgatroyd R (1969) Estimations from geostrophic trajectories of horizontal diffusivity in the mid-latitude troposphere and lower stratosphere. Q J R Meteorol Soc 95:40–62
Oettl D, Almbauer R, Sturm P (2001) A new method to estimate diffusion in stable, low-wind conditions. J Appl Meteorol 40:259–268
Oettl D, Goulart A, Degrazia G, Anfossi D (2005) A new hypothesis on meandering atmospheric flows in low wind speed conditions. Atmos Environ 39:1739–1748
Qian W, Venkatram A (2011) Performance of steady-state dispersion models under low wind-speed conditions. Boundary-Layer Meteorol 138:475–491
R Core Team (2015) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Roberti DR, Acevedo OC, Moraes OLL (2012) A brazilian network of carbon flux stations. Eos Transa Am Geophys Union 93(21):203–203. doi:10.1029/2012EO210005
Sagendorf J, Dickson D (1974) Diffusion under low wind speed inversion conditions. noaa technical memo-erl-arl-52,. Technical report, Air Resources Laboratories, Silver Spring, MD
Sharan M, Yadav A, Singh M (1995) Comparison of sigma schemes for estimation of air pollutant dispersion in low winds. Atmos Environ 29:2051–2059
Sharan M, Modani M, Yadav A (2003) Atmospheric dispersion: an overview of mathematical modeling framework. Proc Indian Natl Sci Acad A 69:725–744
Sharan M, Singh M, Yadav A, Agarwal P, Nigam S (1996) A mathematical model for dispersion of air pollutants in low windcond itions. Atmos Environ 30:1209–1220
Steeneveld G, Holtslag A (2011) Air quality in the 21st century, Nova Science, chap Meteorological aspects of air quality, pp 67–114
Sun J, Mahrt L, Banta R, Pichugina Y (2012) Turbulence regimes and turbulence intermittency in the stable boundary layer during cases-99. J Atmos Sci 69:338–351
Teixeira J, Ferreira J, Miranda P, Haack T, Doyle J, R Salgado APS (2004) A new mixing-length formulation for the parameterization of dry convection: implementation and evaluation in a mesoscale model. Mon Weather Rev 132:2698–2707
Trini Castelli S, Falabino S, Mortarini L, Ferrero E, Richiardone R, Anfossi D (2014) Experimental investigation of the surface layer parameters in low-wind conditions in a suburban area. Q J R Meteorol Soc 140:2023–2036
Trini Castelli S, Falabino S (2013) Parameterization of the wind velocity fluctuation standard deviations in the surface layer in low-wind conditions. Meteorol Atmos Phys 119:91–107. doi:10.1007/s00703-012-0219-3
Vickers D, Mahrt L, Belušić D (2008) Particle simulations of dispersion using observed meandering and turbulence. Acta Geophys 56(1):234–256
Vickers D, Mahrt L (2007) Observations of the cross-wind velocity variance in the stable boundary layer. Environ Fluid Mech 7:55–71
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Mortarini, L., Stefanello, M., Degrazia, G. et al. Characterization of Wind Meandering in Low-Wind-Speed Conditions. Boundary-Layer Meteorol 161, 165–182 (2016). https://doi.org/10.1007/s10546-016-0165-6
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DOI: https://doi.org/10.1007/s10546-016-0165-6