Determination of surface layer parameters at the edge of a suburban area
- 101 Downloads
Abstract
Vertical wind and air temperature profile related parameters in the surface layer at the edge of suburban area of Zagreb (Croatia) have been considered. For that purpose, adopted Monin–Obukhov similarity theory and a set of observations of wind and air temperature at 2 and 10 m above ground, recorded in 2005, have been used. The root mean square differences (errors) principle has been used as a tool to estimate the effective roughness length as well as standard deviations of wind speed and wind gusts. The results of estimation are effective roughness lengths dependent on eight wind direction sectors unknown before. Gratefully to that achievement, representativeness of wind data at standard 10-m height can be clarified more deeply for an area of at least about 1 km in upwind direction from the observation site. Extrapolation of wind data for lower or higher levels from standard 10-m height are thus properly representative for a wider inhomogeneous suburban area and can be used as such in numerical models, flux and wind energy estimation, civil engineering, air pollution and climatological applications.
Keywords
Wind Speed Root Mean Square Error Roughness Length Richardson Number Wind DataNotes
Acknowledgements
Authors would like to thank the Ministry of Science, Education and Sport of Croatia for their financial support, their colleague Zvonko Žibrat for experiment establishment and data collection and anonymous reviewers for their useful comments and suggestions.
References
- Arya SP (1988) Introduction to micrometeorology. Academic Press, pp 303Google Scholar
- Beljaars ACM, Holtslag AAM (1991) Flux parameterization over land surfaces for atmospheric models. J Appl Meteor 30:327–341CrossRefGoogle Scholar
- Berkowicz R, Prahm LP (1982) Evaluation of the profile method for estimation of surface fluxes of momentum and heat. Atmos Environ 16:2809–2819CrossRefGoogle Scholar
- Businger JA, Wyngaard JC, Izumi Y, Bradley EF (1971) Flux-profile relationships in the atmospheric surface layer. J Atmos Sci 28:181–189CrossRefGoogle Scholar
- Davenport AG (1960) Rationale for determining design wind velocities. J Am Soc Civ Eng 86:39–68Google Scholar
- Dyer AJ (1974) A review of flux-profile relationships. Boundary-Layer Meteorol 7:363–372CrossRefGoogle Scholar
- Glickman TS (Managing Editor), 2000: Glossary of meteorology. American Meteorological Society. American Meteorological Society, pp 855Google Scholar
- Haltiner GJ, Martin FL (1957) Dynamical and physical meteorology. McGraw-Hill Company, pp 470Google Scholar
- Holtslag AAM (1984) Estimates od diabatic wind speed profiles from near-surface weather observations. Boundary-Layer Meteorol 29:225–250CrossRefGoogle Scholar
- Jacovides C, Kerkides P, Papaioannou G (1991) Evapotranspiration and sensible heat flux estimation above grass: comparison of methods and correlation of several attributes to routinely measured data. Water Resour Manag 5:305–319CrossRefGoogle Scholar
- Kondo J, Kanechika O, Yasuda N (1978) Heat and momentum transfer under strong stability in the atmospheric surface layer. J Atmos Sci 35:1012–1021CrossRefGoogle Scholar
- Koračin D, Mastnak-Car I (1983) The estimation of the universal parameters of the atmospheric boundary layer by the iterative method. (In Croatian). Peti znanstveni skup ‘Proracunavanje i projektiranje pomocu racunala’, Stubicke Toplice (Hrvatska), 11–15 rujna 1983, Zbornik radova: 555–559Google Scholar
- Laikhtman DL (1964) Physics of the boundary layer of the atmosphere. Silvan Press, IsraelGoogle Scholar
- Lee HN (1997) Improvement of surface flux calculations in the atmospheric surface layer. J Appl Meteor 36:1416–1423CrossRefGoogle Scholar
- Martano P (2000) Estimation of surface roughness length and displacement height from single-level sonic anemometer data. J Appl Meteor 39:708–715CrossRefGoogle Scholar
- Monin AS, Obukhov AM (1954) Basic law of turbulent mixing in the atmosphere near ground. Trudy Geofiz Inst AN SSSR 24(151):163–187Google Scholar
- Oke TR (1987) Boundary layer climates. Methuen, pp 434Google Scholar
- Pandžić K, Likso T (2010) Homogeneity of average annual air temperature time series for Croatia. Int J Climatol 30:1215–1225Google Scholar
- Paulson CA (1970) The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J Appl Meteor 9:857–861CrossRefGoogle Scholar
- Pielke RA (2002) Mesoscale meteorological modeling. Academic Press, pp 676Google Scholar
- Prandtl L (1925) Bericht über Untersuchungen zur ausgebildeten Turbulenz. Zeitschr Angew Math Mech 5:136–139Google Scholar
- Rotach MW (1994) Determination of the zero plane displacement in an urban environment. Boundary-Layer Meteorol 67:187–193CrossRefGoogle Scholar
- Stanski HR, Wilson LJ, Burrows WR (1989) Survey on common verification methods in meteorology. Geneva: World Meteorological Organization (WMO = TD No. 358), 114Google Scholar
- Stull RB (2009) An introduction to boundary layer meteorology. Springer, pp 670Google Scholar
- Verkaik JW, Holtslag AAM (2007) Wind profiles, momentum fluxes and roughness lengths at Cabauw revisited. Boundary-Layer Meteorol 122:701–719CrossRefGoogle Scholar
- Wieringa J (1973) Gust factor over open water and built-up country. Boundary Layer Meteorol 3:424–441CrossRefGoogle Scholar
- Wieringa J (1976) An objective exposure correction method for average wind speeds measured at the sheltered locations. Quart Roy Meteorol Soc 102:241–253CrossRefGoogle Scholar
- Wieringa J (1980) Representativeness of wind observations at the airports. Bull Amer Met Soc 61:962–971CrossRefGoogle Scholar
- Wieringa J (1986) Roughness-dependent geographical interpolation of surface wind speed average. Quart J R Met Soc 112:867–889CrossRefGoogle Scholar
- Wyngaard JC (2010) Turbulence in the atmosphere. Cambridge University Press, pp 393Google Scholar
- Zeng X, Dickinson RE (1998) Effect of surface sublayer on surface skin temperature and fluxes. J Clim 11:537–550CrossRefGoogle Scholar