Development and test of a multifactorial parameterization scheme of land surface aerodynamic roughness length for flat land surfaces with short vegetation
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  • 作者:Qiang Zhang ; Tong Yao ; Ping Yue
  • 关键词:flat land surface with short vegetation ; multifactorial influence ; aerodynamic roughness length ; parameterization scheme ; friction velocity
  • 刊名:Science China Earth Sciences
  • 出版年:2016
  • 出版时间:February 2016
  • 年:2016
  • 卷:59
  • 期:2
  • 页码:281-295
  • 全文大小:3,529 KB
  • 参考文献:Arya S P S. 1975. Buoyancy effects in a horizontal flat-plate boundary layer. J Fluid Mech, 68: 321–343CrossRef
    Blihco R G, Partheniades E. 1971. Turbulence characteristics in free surface flows over smooth and rough boundaries. J Hyd Res, 9: 43–69CrossRef
    Cao W J. 1991. An overview of roughness length, China (in Chinese). Meteor Mon, 17: 46–47
    Charnock H. 1955. Wind stress over a water surface. Q J R Meteorol Soc, 81: 639–640CrossRef
    Chen J Y, Wang J M, Guang T N. 1993. An independent method to determine the surface roughness length, China (in Chinese). Chin J Atmos Sci, 17: 21–26
    Coelho S L V, Hunt J C R. 1989. Vorticity dynamics of the near field of strong jets in cross flows. J Fluid Mech, 200: 411–445CrossRef
    Dickinson R E, Kenney P J. 1986. Biosphere-Atmosphere Transfer Scheme (BATS) for the NCAR Community Climate Model National Center for Atmospheric Research. Boulder, CO, Tech Note/TN-275+ STR
    Dyer A J. 1974. A review of flux-profile relationships. Bound-Layer Meteor, 7: 363–372CrossRef
    Dyer A J, Bradley E F. 1982. An alternative analysis of flux-gradient relationships at the 1976 ITCE. Bound-Layer Meteor, 22: 3–19CrossRef
    Garratt J R. 1992. The Atmospheric Boundary Layer. Cambridge: Cambridge University Press
    Huang J, Guan X, Ji F. 2012. Enhanced cold-season warming in semi-arid regions. Atmos Chem Phys, 12: 4627–4653CrossRef
    Huang J P. 2008. An overview of the semi-arid climate and environment research observatory over the Loess Plateau. Adv Atmos Sci, 25: 906–921CrossRef
    Jia L, Wang J M, Hu Z Y. 2000. The characteristics of roughness length for heat and its influence on determination of sensible heat flux in arid zone, China (in Chinese). Plateau Meteor, 19: 395–503
    Joffre S M. 1982. Momentum and heat transfers in the surface layer over a frozen sea. Bound-Layer Meteor, 24: 211–229CrossRef
    Kaimal J C, Finnigan J J. 1994. Atmospheric Boundary Layer Flows. New York: Oxford University Press. 70
    Kondo J, Yamazawa H. 1986. Aerodynamic roughness over an inhomogeneous ground surface. Bound-Layer Meteor, 35: 331–348CrossRef
    Lettau H. 1969. Note on aerodynamic roughness-parameter estimation on the basis of roughness element description. J Appl Meteorol, 8: 828–832CrossRef
    Li Z S, Chen G T. 1997. A review of roughness length, China (in Chinese). J Desert Res, 17: 99–102
    Martano P. 2000. Estimation of surface roughness length and displacement height from SingleLevel Sonic Anemometer Data. J Appl Meteorol, 39: 708–715CrossRef
    Mei F M, Rajot J, Alfaro S, et al. 2006. Variation of aerodynamic roughness length in flat sandlot and its physical significance, China (in Chinese). Prog Nat Sci, 16: 325–330
    Monin A S, Obukhov A M. 1954. Basic laws of turbulence mixing in the surface layer of the atmosphere. Trudy Geofiz Inst AN SSSR, 24: 163–187
    Monteith J L. 1973. Principles of Environmental Physics. London: Edward Arnold. 241
    Mwenderaa E J, Feyen J. 1994. Effects of tillage and rainfall on soil surface roughness and properties. Soil Tech, 7: 93–103CrossRef
    Paulson C A. 1970. The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J Appl Meteorol, 9: 857–861CrossRef
    Schmid H P, Bunzli B. 1995. The influence of surface texture on the effective roughness length. Q J R Meteorol Soc, 121: 1–21CrossRef
    Sellers P J, Mintz Y, Sud Y C, et al. 1986. A simple biosphere model (SIB) for use within general circulation models. J Atmos Sci, 43: 505–531CrossRef
    Stull R B. 1988. An Introduction to Boundary Layer Meteorology. Dordrecht: Kluwer Academic PublishersCrossRef
    Stull R B. 1991. An Introduction to Boundary Layer Meteorology (in Chinese). Translated by Yang C X. Beijing: China Meteorological Press. 719
    Wang G, Huang J, Guo W, et al. 2011. Observation analysis of landatmosphere interactions over the Loess Plateau of northwest China. J Geophys Res, 115: D00K17, doi: 10.​1029/​2009JD013372
    Wood N, Mason P. 1991. The influence of static stability on the effective roughness lengths for momentum and heat transfer. Q J R Meteorol Soc, 117: 1025–1056CrossRef
    Wu J. 1988. On nondimensional correlation between roughness length and wind-friction velocity. J Oceanogr Soc Jpn, 44: 254–260CrossRef
    Yan H R, Huang J, Minnis P, et al. 2011. Comparison of CERES surface radiation fluxes with surface observations over Loess Plateau. Remote Sens Environ, 115: 1489–1500CrossRef
    Yao T, Zhang Q, Yin H. 2014. The annual variation and its influence mechanism of surface roughness length of Yuzhong in semi-arid mountains area, China (in Chinese). J Appl Meteor Sci, 25: 454–462
    Zhang H S, Chen J Y. 1997. Estimation of aerodynamic parameters on non-single horizontal homogeneous underlying surface, China (in Chinese). J Appl Meteor Sci, 8:310–315
    Zhang Q, Hu X J, Wang S, et al. 2009b. Some technological and scientific issues about the experimental study of land surface processes in Chinese Loess Plateau (LOPEX), China (in Chinese). Adv Earth Sci, 24: 363–371
    Zhang Q, Hu Y J. 2001. Scientific problems and advance of atmospheric boundary physics, China (in Chinese). Adv Earth Sci, 16: 526–532
    Zhang Q, Li H Y, Yue P. 2013a. Responses of the land-surface process and its parameters over the natural vegetation underlying surface of the middle of Gansu in loess plateau to precipitation fluctuation, China (in Chinese). Acta Phys Sin, 62: 019201
    Zhang Q, Li H Y, Zhao J H, et al. 2012c. Modification of the land surface energy balance relationship by introducing vertical sensible heat advection and soil heat storage over the Loess Plateau. Sci China Earth Sci, 55: 580–589CrossRef
    Zhang Q, Lü S H. 2003. The determination of roughness length over city surface, China (in Chinese). Plateau Meteor, 22: 25–31
    Zhang Q, Wang S. 2008. On Land surface processes and its experimental study in Chinese Loess Plateau, China (in Chinese). Adv Earth Sci, 23: 167–173
    Zhang Q, Wang S, Zhang J, et al. 2009a. The progress on land surface processes and atmospheric boundary layer in arid regions, China (in Chinese). Adv Earth Sci, 24: 1185–1194
    Zhang Q, Yao T, Yue P, et al. 2013b. The influences of thermodynamic characteristics on aerodynamic roughness length over land surface. Acta Meteor Sin, 27: 249–262CrossRef
    Zhang Q, Zeng J, Yao T. 2012a. Interaction of aerodynamic roughness length and windflow condition and its parameterization over vegetation surface. Chin Sci Bull, 57: 1559–1567CrossRef
    Zhang Q, Zeng J, Zhang L Y. 2012b. Characteristics of land surface thermal-hydrologic processes for different regions over North China during prevailing summer monsoon period. Sci China Earth Sci, 55: 1872–1880CrossRef
    Zhou Y L, Sun X M, Zhu Z L, et al. 2006. Surface roughness length dynamic over several different surfaces and its effects on modeling fluxes. Sci China Earth Sci, 49 (Suppl): 262–272CrossRef
    Zilitinkevich S S, Mammarella I, Baklanov A A, et al. 2008. The effect of stratification on the aerodynamic roughness length and displacement height. Bound-Layer Meteor, 129: 179–190CrossRef
    Zuo J, Huang J, Wang J, et al. 2009. Surface turbulent flux measurements over the Loess Plateau for a semi-arid climate change study. Adv Atmos Sci, 26: 679–691CrossRef
  • 作者单位:Qiang Zhang (1) (2) (3) (4)
    Tong Yao (1) (2) (3) (5)
    Ping Yue (1) (2) (3)

    1. Institute of Arid Meteorology of CMA, Lanzhou, China
    2. Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province, Lanzhou, China
    3. Key Open Laboratory of Arid Climatic Change and Disaster Reduction of CMA, Lanzhou, 730020, China
    4. Meteorological Bureau of Gansu, Lanzhou, 730020, China
    5. College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
  • 刊物主题:Earth Sciences, general;
  • 出版者:Springer Berlin Heidelberg
  • ISSN:1869-1897
文摘
Aerodynamic roughness length is an important physical parameter in atmospheric numerical models and micrometeorological calculations, the accuracy of which can affect numerical model performance and the level of micrometeorological computations. Many factors influence the aerodynamic roughness length, but formulas for its parameterization often only consider the action of a single factor. This limits their adaptive capacity and often introduces considerable errors in the estimation of land surface momentum flux (friction velocity). In this study, based on research into the parameterization relations between aerodynamic roughness length and influencing factors such as windflow conditions, thermodynamic characteristics of the surface layer, natural rhythm of vegetation growth, ecological effects of interannual fluctuations of precipitation, and vegetation type, an aerodynamic roughness length parameterization scheme was established. This considers almost all the factors that affect aerodynamic roughness length on flat land surfaces with short vegetation. Furthermore, using many years’ data recorded at the Semi-Arid Climate and Environment Observatory of Lanzhou University, a comparative analysis of the application of the proposed parameterization scheme and other experimental schemes was performed. It was found that the error in the friction velocity estimated by the proposed parameterization scheme was considerably less than that estimated using a constant aerodynamic roughness length and by the other parameterization schemes. Compared with the friction velocity estimated using a constant aerodynamic roughness length, the correlation coefficient with the observed friction velocity increased from 0.752 to 0.937, and the standard deviation and deviation decreased by about 20% and 80%, respectively. Its mean value differed from the observed value by only 0.004 m s−1 and the relative error was only about 1.6%, which indicates a significant decrease in the estimation error of surface-layer momentum flux. The test results show that the multifactorial universal parameterization scheme of aerodynamic roughness length for flat land surfaces with short vegetation can offer a more scientific parameterization scheme for numerical atmospheric models. Keywords flat land surface with short vegetation multifactorial influence aerodynamic roughness length parameterization scheme friction velocity

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