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A Mechanical Drag Coefficient Formulation and Urban Canopy Parameter Assimilation Technique for Complex Urban Environments

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Abstract

A mechanical drag coefficient formulation was implemented into the Building Effect Parameterization + Building Energy Model system coupled with the mesoscale Weather Research Forecasting model to improve the representation of the wind speed in complex urban environments. Previously, this formulation had been assessed only against spatially-averaged results from computational fluid dynamical simulations in idealized urban configurations. The main objective is to evaluate its performance over a real city. The introduction of a drag coefficient that varies with the building plan-area fraction increases the accuracy of the mesoscale model in predicting surface wind speed in complex urban environments (i.e. New York City) particularly in areas with tall buildings. Additionally, a methodology to implement local building information and a new land-cover land-use distribution is proposed that improves the representation of the urban morphology.

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References

  • Ashie Y, Vu Thanh C, Asaeda T (1999) Building canopy model for the analysis of urban climate. J Wind Eng Ind Aerodyn 81:237–248

    Article  Google Scholar 

  • Bornstein RD (1975) The two-dimensional URBMET urban boundary layer model. J Appl Meteorol 14:1459–1477

    Article  Google Scholar 

  • Bougeault P, Lacarrere P (1989) Parameterization of orography induced turbulence in a mesobeta-scale model. Mon Weather Rev 117:1872–1890

    Article  Google Scholar 

  • Brown M, Williams M (1998) An urban canopy parameterization for mesoscale meteorological models. In: AMS second urban environment symposium, Albuquerque

  • Burian S, Augustus N, Jeyachandran I, Brown M (2008) National building statistics database: version 2. Technical Report. Los Alamos National Laboratory, New Mexico, 18 pp

  • Chen F, Dudhia J (2001) Coupling and advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity. Mon Weather Rev 129:569–585

    Article  Google Scholar 

  • Chen F, Miao S, Tewari M, Bao J, Kusaka H (2011) A numerical study of interactions between surface forcing and see breeze circulations and their effects on stagnation in the greater Houston area. J Geophys Res 116:D12105

    Article  Google Scholar 

  • Deru M, Field K, Studer D, Benne K, Griffith B, Torcellini P, Liu B, Halverson M, Winiarski D, Rosenberg M, Yazdanian M, Huang J, Crawley D (2011) U.S. Department of Energy commercial reference building models of the national building stock Technical Report NREL/TP-5500-46861. National Renewable Laboratory, Colorado, p 109

    Book  Google Scholar 

  • Dudhia J (1989) Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J Atmos Sci 46:3077–3107

    Article  Google Scholar 

  • Dupont S, Otte TL, Ching JKS (2004) Simulation of meteorological fields within and above urban and rural canopies with a mesoscale model (MM5). Boundary-Layer Meteorol 113:111–158

    Article  Google Scholar 

  • Fry J, Xian G, Jin S, Dewitz J, Homer C, Yang L, Barnes C, Herold N, Wickham J (2011) Completion of the 2006 national land cover database for the continuous United States. Photogramm Eng Remote Sens 77(9):858–864

    Google Scholar 

  • Gutierrez E, Gonzalez J, Bornstein R, Arend M, Martilli A (2013) A new modeling approach to forecast building energy demands during extreme heat events in complex cities. J Sol Energy Eng 135:040906-1–040906-7

    Article  Google Scholar 

  • Hong S, Dudhia J, Chen S (2004) A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon Weather Rev 132:103–120

    Article  Google Scholar 

  • Hu X-M, Klein PM, Xue M (2013) Evaluation of the updated YSU planetary boundary layer scheme within WRF for wind resource and air quality assessments. J Geophys Res 118(18):10490–10505

    Google Scholar 

  • Kusaka H, Kondo H, Kikegawa Y, Kimura F (2001) A simple single-layer urban canopy model for atmospheric models: comparison with multi-layer and slab models. Boundary-Layer Meteorol 101:329–358

    Article  Google Scholar 

  • Li D, Bou-Zeid E, Baeck ML, Jessup S, Smith J (2013) Modeling land surfaces processes and heavy rainfall in urban environments: sensitivity to urban surface parameterizations. J Hydrometeorol 14:1098–1118

    Article  Google Scholar 

  • Martilli A (2009) On the derivation of input parameters for urban canopy models from urban morphological datasets. Boundary-Layer Meteorol 130:301–306

    Article  Google Scholar 

  • Martilli A, Clappier A, Rotach MW (2002) An urban surface exchange parameterization for mesoscale models. Boundary-Layer Meteorol 104:261–304

    Article  Google Scholar 

  • Masson V (2000) A physically-based scheme for the urban energy budget in atmospheric models. Boundary-Layer Meteorol 94:357–397

    Article  Google Scholar 

  • Mlawer E, Taubman S, Brown P, Iacono M, Clough S (1997) Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for longwave. J Geophys Res 102(D14):16663–16682

    Article  Google Scholar 

  • Monin AS, Obukhov AM (1954) Basic laws of turbulent mixing in the surface layer of the atmosphere. Tr Akad Nauk SSSR Geophiz Inst 24(151):163–187

    Google Scholar 

  • Raupach MR (1992) Drag and drag partition on rough surfaces. Boundary-Layer Meteorol 60:375–395

    Article  Google Scholar 

  • Salamanca F, Krpo A, Martilli A, Clappier A (2009) A new building energy model coupled with an urban canopy parameterization for urban climate simulations- Part1 Formulation, verification and sensitivity analysis of the model. Theor Appl Clim 99(3–4):331–344. doi:10.1007/s00704-009-0142-9

    Google Scholar 

  • Salamanca F, Martilli A, Tewari M, Chen F (2011) A study of the urban boundary layer using different urban parameterizations and high-resolution urban canopy parameters with WRF. J Appl Meteorol Clim 50:1107–1128

    Article  Google Scholar 

  • Salamanca F, Georgescu M, Mahalov A, Moustaoui M, Wang M (2014) Anthropogenic heating of the urban environment due to air conditioning. J Geophys Res 119:1–17

    Google Scholar 

  • Santiago JL, Martilli A (2010) A dynamic urban canopy parameterization for mesoscale models based on computational fluid dynamics Reynolds-Averaged Navier–Stokes microscale simulations. Boundary-Layer Meteorol 137:417–439

    Article  Google Scholar 

  • Santiago JL, Coceal O, Martilli A, Belcher SE (2008) Variation of the sectional drag coefficient of a group of buildings with packing density. Boundary-Layer Meteorol 128:445–457

    Article  Google Scholar 

  • Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Duda M, Huang X, Wang W, Powers JG (2008) A description of the Advanced Research WRF, version 3. Technical Note TN-475+STR. NCAR, Colorado, 113 pp

  • Taha H (2008) Meso-urban meteorological and photochemical modeling of heat island mitigation. Atmos Environ 42:8795–8809

    Article  Google Scholar 

  • Uno I, Ueda H, Wakamatsu S (1989) Numerical modelling of the nocturnal urban boundary layer. Boundary-Layer Meteorol 49:77–98

    Article  Google Scholar 

  • Wang Z, Bou-Zeid E, Smith JA (2013) A coupled energy transport and hydrological model for urban canopies evaluated using a wireless sensor network. Q J R Meteorol Soc 139:1643–1657

    Article  Google Scholar 

Download references

Acknowledgments

The work of Alberto Martilli, and a visit of Estatio Gutiérrez to CIEMAT, have been partially supported by the project “Modelización de la Influencia de la Vegetación Urbana en la Calidad del Aire y Confort Climático” (CGL2011-26173) funded by Spanish Ministry of Economy and Competitiveness. This research was supported, in part, by a grant of computer time from the City University of New York High Performance Computing Center under National Science Foundation (NSF) Grants CNS-0855217, CNS-0958379 and ACI-1126113. Partial financial support was provided by NSF Grant IIP-1439606.

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Gutiérrez, E., Martilli, A., Santiago, J.L. et al. A Mechanical Drag Coefficient Formulation and Urban Canopy Parameter Assimilation Technique for Complex Urban Environments. Boundary-Layer Meteorol 157, 333–341 (2015). https://doi.org/10.1007/s10546-015-0051-7

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  • DOI: https://doi.org/10.1007/s10546-015-0051-7

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