Abstract
We examine the performance of several methods to estimate meteorological inputs for modelling dispersion in urban areas during convective conditions. Sensible heat flux, surface friction velocity and turbulent velocities are estimated from measurements of mean wind speed and the standard deviation of temperature fluctuations at a single level on a tower at two suburban sites and at one urban site in Riverside, California. These estimates are compared with observations made at these sites during a field study conducted in 2007. The sensible heat flux is overestimated in the urban area, while it is underestimated at a suburban site when temperature fluctuations are used in the free convection formulation to estimate heat flux. The bias in heat flux estimates can be reduced through a correction that depends on stability. It turns out that the bias in heat flux estimates has a minor effect on the prediction of surface friction velocity and turbulent velocities. Estimates of sensible heat flux, surface friction velocity and turbulent velocities are sensitive to estimates of aerodynamic roughness length, and we suggest estimating the aerodynamic roughness length through detailed micrometeorological measurements made during a limited field study. An examination of the impact of the uncertainty in estimating surface micrometeorology on concentrations indicates that, at small distances from a surface release, ground-level concentrations computed using estimates of heat flux and surface friction compare well with the those based on observed values: the bias is small and the 95% confidence interval of the ratio of the two concentrations is 1.7. However, at distances much larger than the Obukhov length, this confidence interval is close to 2.3 because errors in both friction velocity and heat flux affect plume spread. Finally, we show that using measurements of temperature fluctuations in estimating heat flux is an improvement on that based on the surface energy balance, even when net radiation measurements are available.
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References
Albertson JD, Parlange MB, Katul GG, Chu CR, Stricker H, Tyler S (1995) Sensible heat flux from arid regions using a simple flux–variance method. Water Resour Res 31: 969–973
Barad ML (ed) (1958) Project Prairie Grass. A field program in diffusion, Geophysical Research Paper No. 59, vols I (300 pp) and II (221 pp), AFCRF-TR-58-235, Air Force Cambridge Research Center, Bedford, MA
Britter RE, Hanna SR (2003) Flow and dispersion in urban areas. Annu Rev Fluid Mech 35: 469–496
Businger JA (1973) Turbulent transfer in the atmospheric surface layer. In: Haugen DH (eds) Workshop on Micrometerology. American Meteorological Society, Boston, MA, pp 67–100
Camuffo D, Bernardi A (1982) An observational study of heat fluxes and their relationship with net radiation. Boundary-Layer Meteorol 23: 359–368
Carson DJ (1973) The development of a dry inversion-capped convectively unstable boundary layer. Q J Roy Meteorol Soc 99: 450–467
Chang JC, Hanna SR (2004) Air quality model performance evaluation. Meteorol Atmos Phys 87: 167–196
Ching JKS (1985) Urban-scale variations of turbulence parameters and fluxes. Boundary-Layer Meteorol 33: 335–361
Christen A (2005) Atmospheric turbulence and surface energy exchange in urban environments. PhD Thesis in Meteorology. Institute of Meteorology, Climatology and Remote Sensing, University of Basel, 142 pp
Cimorelli AJ, Perry SG, Venkatram A, Weil JC, Paine RJ, Wilson RB, Lee RF, Peters WD, Brode RW (2005) AERMOD: a dispersion model for industrial source applications. Part I: general model formulation and boundary layer characterization. J Appl Meteorol 44: 682–693
Clarke JF, Ching JKS, Godowitch JM (1982) An experimental study of turbulence in an urban environment. Tech. Rep. EPA 600/3-82-062, U.S. Environmental Protection Agency, Research Triangle Park, NC, 150 pp
De Bruin HAR, Kohsiek W, Van Den Hurk BJJM (1993) A verification of some methods to determine the fluxes of momentum, sensible heat and water vapour using standard deviation and structure parameter of scalar meteorological quantities. Boundary-Layer Meteorol 63: 231–257
Feigenwinter C (2000) The vertical structure of turbulence above an urban canopy. PhD thesis, Institue of Meteorology, Climatology and Remote Sensing, University of Basel, 84 pp
Garratt JR (1980) Surface influence upon vertical profiles in the atmospheric near-surface layer. Q J Roy Meteorol Soc 106: 803–819
Garratt JR (1983) Surface influence upon vertical profiles in the nocturnal boundary layer. Boundary-Layer Meteorol 26: 69–80
Garratt JR (1992) The atmospheric boundary layer. Cambridge University Press, U.K., 316 pp
Grimmond CSB, Oke TR (1999a) Heat storage in urban areas: local-scale observations and evaluation of a simple model. J Appl Meteorol 38: 922–940
Grimmond CSB, Oke TR (1999b) Aerodynamic properties of urban areas derived from analysis of surface form. J Appl Meteorol 38: 1261–1292
Grimmond CSB, Cleugh HA, Oke TR (1991) An objective urban heat storage model and its comparison with other schemes. Atmos Environ 25: 311–326
Hanna SR, Chang JC (1992) Boundary layer parameterizations for applied dispersion modeling over urban areas. Boundary-Layer Meteorol 58: 229–259
Harman IN, Finnigan JJ (2007) A simple unified theory for flow in the canopy and roughness sublayer. Boundary-Layer Meteorol 123: 339–363
Hicks B (1981) An examination of turbulence statistics in the surface boundary layer. Boundary-Layer Meteorol 21: 389–402
Holtslag AAM, Ulden AP (1983) A simple scheme for daytime estimates of the surface fluxes from routine weather data. J Clim Appl Meteorol 22: 517–529
Hsieh CI, Katul GG, Scheildge J, Sigmon JT, Knoerr KR (1996) Estimation of momentum and heat fluxes using dissipation and flux–variance methods in the unstable surface layer. Water Resour Res 8: 2453–2462
Kaimal JC, Finnigan JJ (1994) Atmospheric boundary layer flows, their structure and measurement. Oxford University Press, New York, 289 pp
Kastner-Klein P, Rotach MW (2004) Mean flow and turbulence characteristics in an urban roughenss sublayer. Boundary-Layer Meteorol 111: 55–84
Lloyd CR, Culf AD, Doman AJ, Gash JH (1991) Estimates of sensible heat flux from observations of temperature fluctuations. Boundary-Layer Meteorol 57: 311–322
Luhar A, Venkatram A, Lee SM (2006) On relationships between urban and rural near-surface meteorology for diffusion applications. Atmos Environ 40: 6541–6553
Monin AS, Yaglom AM (1971) Statistical fluid mechanics: mechanics of turbulence, vol 1. MIT Press, Cambridge, MA, 769 pp
Monteith JL (1981) Evaporation and surface temperature. Q J Roy Meteorol Soc 107: 1–27
Nieuwstadt FTM (1980) Application of mixed-layer similarity to the observed dispersion from a ground-level source. J Appl Meteorol 19: 157–162
Oikawa S, Meng Y (1995) Turbulence characteristics and organized motion in a suburban roughness sublayer. Boundary-Layer Meteorol 74: 289–312
Panofsky HA, Tennekes H, Lenschow DH, Wyngaard JC (1977) The characteristics of turbulent velocity components in the surface layer under convective conditions. Boundary-Layer Meteorol 11: 355–359
Princevac M, Venkatram A (2007) Estimating micrometeorological inputs for modeling dispersion in urban areas during stable conditions. Atmos Environ 41: 5345–5356
Raupach MR, Antonia RA, Rajagopalan S (1991) Rough-wall turbulent boundary layers. Appl Mech Rev 44: 1–25
Rotach MW (1993) Turbulence close to a rough urban surface, Part II: variances and gradients. Boundary-Layer Meteorol 66: 75–92
Rotach MW (1999) On the influence of the urban roughness sublayer on turbulence and dispersion. Atmos Environ 33: 4001–4008
Roth M (1993) Turbulent transfer relationships over an urban surface. II. Integral statistics. Q J Roy Meteorol Soc 119: 1105–1120
Roth M, Oke TR (1995) Relative efficiencies of turbulent transfer of heat, mass and momentum over a patchy urban surface. J Atmos Sci 52: 1863–1874
Tillman JE (1972) The indirect determination of stability, heat and momentum fluxes in the atmospheric boundary layer from simple scalar variables during dry unstable conditions. J Appl Meteorol 11: 783–792
van Ulden AP, Holtslag AAM (1985) Estimation of atmospheric boundary layer parameters for diffusion applications. J Clim Appl Meteorol 24: 1196–1207
Venkatram A (1992) Vertical dispersion of ground-level releases in the surface boundary layer. Atmos Environ 26: 947–949
Venkatram A (2008) Computing and displaying model performance statistics. Atmos Environ 24: 6862–6868
Venkatram A, Princevac M (2008) Using measurements in urban areas to estimate turbulent velocities for modeling dispersion. Atmos Environ 42: 3833–3841
Wang IT, Chen PC (1980) Estimation of heat and momentum fluxes near the ground. In: Proceedings of 2nd joint conference on applications on air pollution. American Meteorological Society, 45 Beacon St., Boston, MA 02108, pp 764–769
Weaver HL (1990) Temperature and humidity flux–variance relations determined by one-dimensional eddy correlation. Boundary-Layer Meteorol 53: 77–91
Wesely ML (1988) Use of variance techniques to measure dry air-surface exchange rates. Boundary-Layer Meteorol 44: 13–31
Wieringa J (1993) Representative roughness parameters for homogeneous terrain. Boundary-Layer Meteorol 63: 323–393
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The research was sponsored by the National Science Foundation under grant ATMOS 0430776 and the California Energy Commission.
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Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Qian, W., Princevac, M. & Venkatram, A. Using Temperature Fluctuation Measurements to Estimate Meteorological Inputs for Modelling Dispersion During Convective Conditions in Urban Areas. Boundary-Layer Meteorol 135, 269–289 (2010). https://doi.org/10.1007/s10546-010-9479-y
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DOI: https://doi.org/10.1007/s10546-010-9479-y