Editorial Type:
Article
Article Type:
Research Article

Urban Canopy Modeling of the New York City Metropolitan Area: A Comparison and Validation of Single- and Multilayer Parameterizations

Teddy Holt Marine Meteorology Division, Naval Research Laboratory, Monterey, California

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Julie Pullen Marine Meteorology Division, Naval Research Laboratory, Monterey, California

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Print Publication:
01 May 2007
DOI:
https://doi.org/10.1175/MWR3372.1
Page(s):
1906–1930
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Abstract

High-resolution numerical simulations are conducted using the Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS)1 with two different urban canopy parameterizations for a 23-day period in August 2005 for the New York City (NYC) metropolitan area. The control COAMPS simulations use the single-layer Weather Research and Forecasting (WRF) Urban Canopy Model (W-UCM) and sensitivity simulations use a multilayer urban parameterization based on Brown and Williams (BW-UCM). Both simulations use surface forcing from the WRF land surface model, Noah, and hourly sea surface temperature fields from the New York Harbor and Ocean Prediction System model hindcast. Mean statistics are computed for the 23-day period from 5 to 27 August (540-hourly observations) at five Meteorological Aviation Report stations for a nested 0.444-km horizontal resolution grid centered over the NYC metropolitan area. Both simulations show a cold mean urban canopy air temperature bias primarily due to an underestimation of nighttime temperatures. The mean bias is significantly reduced using the W-UCM (−0.10°C for W-UCM versus −0.82°C for BW-UCM) due to the development of a stronger nocturnal urban heat island (UHI; mean value of 2.2°C for the W-UCM versus 1.9°C for the BW-UCM). Results from a 24-h case study (12 August 2005) indicate that the W-UCM parameterization better maintains the UHI through increased nocturnal warming due to wall and road effects. The ground heat flux for the W-UCM is much larger during the daytime than for the BW-UCM (peak ∼300 versus 100 W m−2), effectively shifting the period of positive sensible flux later into the early evening. This helps to maintain the near-surface mixed layer at night in the W-UCM simulation and sustains the nocturnal UHI. In contrast, the BW-UCM simulation develops a strong nocturnal stable surface layer extending to approximately 50–75-m depth. Subsequently, the nocturnal BW-UCM wind speeds are a factor of 3–4 less than W-UCM with reduced nighttime turbulent kinetic energy (average < 0.1 m2 s−2). For the densely urbanized area of Manhattan, BW-UCM winds show more dependence on urbanization than W-UCM. The decrease in urban wind speed is most prominent for BW-UCM both in the day- and nighttime over lower Manhattan, with the daytime decrease generally over the region of tallest building heights while the nighttime decrease is influenced by both building height as well as urban fraction. In contrast, the W-UCM winds show less horizontal variation over Manhattan, particularly during the daytime. These results stress the importance of properly characterizing the urban morphology in urban parameterizations at high resolutions to improve the model’s predictive capability.

Corresponding author address: Dr. Teddy R. Holt, Marine Meteorology Division, Naval Research Laboratory, 7 Grace Hopper Ave., Monterey, CA 93943. Email: holt@nrlmry.navy.mil

Abstract

High-resolution numerical simulations are conducted using the Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS)1 with two different urban canopy parameterizations for a 23-day period in August 2005 for the New York City (NYC) metropolitan area. The control COAMPS simulations use the single-layer Weather Research and Forecasting (WRF) Urban Canopy Model (W-UCM) and sensitivity simulations use a multilayer urban parameterization based on Brown and Williams (BW-UCM). Both simulations use surface forcing from the WRF land surface model, Noah, and hourly sea surface temperature fields from the New York Harbor and Ocean Prediction System model hindcast. Mean statistics are computed for the 23-day period from 5 to 27 August (540-hourly observations) at five Meteorological Aviation Report stations for a nested 0.444-km horizontal resolution grid centered over the NYC metropolitan area. Both simulations show a cold mean urban canopy air temperature bias primarily due to an underestimation of nighttime temperatures. The mean bias is significantly reduced using the W-UCM (−0.10°C for W-UCM versus −0.82°C for BW-UCM) due to the development of a stronger nocturnal urban heat island (UHI; mean value of 2.2°C for the W-UCM versus 1.9°C for the BW-UCM). Results from a 24-h case study (12 August 2005) indicate that the W-UCM parameterization better maintains the UHI through increased nocturnal warming due to wall and road effects. The ground heat flux for the W-UCM is much larger during the daytime than for the BW-UCM (peak ∼300 versus 100 W m−2), effectively shifting the period of positive sensible flux later into the early evening. This helps to maintain the near-surface mixed layer at night in the W-UCM simulation and sustains the nocturnal UHI. In contrast, the BW-UCM simulation develops a strong nocturnal stable surface layer extending to approximately 50–75-m depth. Subsequently, the nocturnal BW-UCM wind speeds are a factor of 3–4 less than W-UCM with reduced nighttime turbulent kinetic energy (average < 0.1 m2 s−2). For the densely urbanized area of Manhattan, BW-UCM winds show more dependence on urbanization than W-UCM. The decrease in urban wind speed is most prominent for BW-UCM both in the day- and nighttime over lower Manhattan, with the daytime decrease generally over the region of tallest building heights while the nighttime decrease is influenced by both building height as well as urban fraction. In contrast, the W-UCM winds show less horizontal variation over Manhattan, particularly during the daytime. These results stress the importance of properly characterizing the urban morphology in urban parameterizations at high resolutions to improve the model’s predictive capability.

Corresponding author address: Dr. Teddy R. Holt, Marine Meteorology Division, Naval Research Laboratory, 7 Grace Hopper Ave., Monterey, CA 93943. Email: holt@nrlmry.navy.mil

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  • Avissar, R., and R. A. Pielke, 1989: A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology. Mon. Wea. Rev., 117 , 2113–2136.

    • Search Google Scholar
    • Export Citation

  • Blumberg, A. F., and G. L. Mellor, 1987: A description of a three-dimensional coastal ocean circulation model. Three-Dimensional Coastal Ocean Models, N. S. Heaps, Ed., Amer. Geophys. Union, 1–16.

    • Search Google Scholar
    • Export Citation

  • Bornstein, R. D., 1968: Observations of the urban heat island effect in New York City. J. Appl. Meteor., 7 , 575–582.

  • Bornstein, R. D., and W. T. Thompson, 1981: Effects of frictionally retarded sea breeze and synoptic frontal passages on sulfur dioxide concentrations in New York City. J. Appl. Meteor., 20 , 843–858.

    • Search Google Scholar
    • Export Citation

  • Bornstein, R. D., and M. LeRoy, 1990: Urban barrier effects on convective and frontal thunderstorms. Extended Abstracts, Fourth Conf. on Mesoscale Processes, Boulder, CO, Amer. Meteor. Soc., 120–121.

  • Brown, M. J., and M. Williams, 1998: An urban canopy parameterization for mesoscale meteorological models. Preprints, Second Symp. on the Urban Environment, Albuquerque, NM, Amer. Meteor. Soc., 144–147.

  • Bruno, M. S., and A. F. Blumberg, 2004: An urban ocean observatory—Real-time assessments and forecasts of the New York Harbor marine environment. Sea Technol., 45 , 8. 27–32.

    • Search Google Scholar
    • Export Citation

  • Burian, S. J., A. McKinnon, J. Hartman, and W. Han, 2005: National building statistics database: New York City. Los Alamos National Laboratory Final Rep. LA-UR-05-8154, National Building Statistics Database Project, 1 March 2005, 17 pp.

  • Ca, V. T., Y. Ashie, and T. Asaeda, 2002: A k-ϵ turbulence closure model for the atmospheric boundary layer including urban canopy. Bound.-Layer Meteor., 102 , 459–490.

    • Search Google Scholar
    • Export Citation

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

    • Search Google Scholar
    • Export Citation

  • Chen, F., and Coauthors, 1996: Modeling of land-surface evaporation by four schemes and comparison with FIFE observations. J. Geophys. Res., 101 , 7251–7268.

    • Search Google Scholar
    • Export Citation

  • Chen, F., K. Manning, D. Yates, M. LeMone, S. Trier, R. Cuenca, and D. Niyogi, 2004a: Development of a High-Resolution Land Data Assimilation System (HRLDAS). Preprints, 16th Conf. on Numerical Weather Prediction, Seattle, WA, Amer. Meteor. Soc., CD-ROM, 22.3.

  • Chen, F., H. Kusaka, M. Tewari, J-W. Bao, and H. Hirakuchi, 2004b: Utilizing the coupled WRF/LSM urban modeling system with detailed urban classification to simulate the urban heat island phenomena over the greater Houston area. Preprints, Fifth Conf. on Urban Environment, Vancouver, BC, Canada, Amer. Meteor. Soc., CD-ROM, 9.11.

  • Chen, S., and Coauthors, 2003: COAMPS® version 3 model description. Naval Research Laboratory Publication NRL/PU/7500-03-448, Marine Meteorology Division, Monterey, CA, 143 pp.

  • Childs, P. P., and S. Raman, 2005: Observations and numerical simulations of urban heat island and sea breeze circulations over New York City. Pure Appl. Geophys., 162 , 1955–1980.

    • Search Google Scholar
    • Export Citation

  • Chin, H-N. S., M. J. Leach, G. A. Sugiyama, J. M. Leone Jr., H. Walker, J. S. Nasstrom, and M. J. Brown, 2005: Evaluation of an urban canopy parameterization in a mesoscale model using VTMX and URBAN 2000 data. Mon. Wea. Rev., 133 , 2043–2068.

    • Search Google Scholar
    • Export Citation

  • Colle, B. A., J. B. Olson, and J. S. Tongue, 2003: Multi-season verification of the MM5. Part I: Comparison with the Eta model over the central and eastern United States and impact of MM5 resolution. Wea. Forecasting, 18 , 431–457.

    • Search Google Scholar
    • Export Citation

  • Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J. D. Tarpley, 2003: Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J. Geophys. Res., 108 .8851, doi:10.1029/2002JD003296.

    • Search Google Scholar
    • Export Citation

  • Fan, S., A. Blumberg, M. Bruno, D. Kruger, and B. Fullerton, 2006: The skill of an urban ocean forecast system. Proc. Ninth Int. Conf. on Estuarine and Coastal Modeling, Charleston, SC, ASCE, 603–618.

  • Gedzelman, S. D., S. Austin, R. Cermak, N. Stefano, S. Partridge, S. Quesenberry, and D. A. Robinson, 2003: Mesoscale aspects of the urban heat island around New York City. Theor. Appl. Climatol., 75 , 29–42.

    • Search Google Scholar
    • Export Citation

  • Grimmond, C. S. B., and T. R. Oke, 1995: Comparison of heat fluxes from summertime observations in the suburbs of four North American cities. J. Appl. Meteor., 34 , 873–889.

    • Search Google Scholar
    • Export Citation

  • Grossman-Clarke, S., J. A. Zehnder, W. L. Stefanov, Y. Liu, and M. A. Zoldak, 2005: Urban modifications in a mesoscale meteorological model and the effects on near-surface variables in an arid metropolitan region. J. Appl. Meteor., 44 , 1281–1297.

    • Search Google Scholar
    • Export Citation

  • Harshvardhan, and Davies, R., D. A. Randall, and T. G. Corsetti, 1987: A fast radiation parameterization for atmospheric circulation models. J. Geophys. Res., 92 , 1009–1016.

    • Search Google Scholar
    • Export Citation

  • Hodur, R. M., 1997: The Naval Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Mon. Wea. Rev., 125 , 1414–1430.

    • Search Google Scholar
    • Export Citation

  • Holt, T. R., D. Niyogi, F. Chen, K. Manning, M. A. LeMone, and A. Qureshi, 2006: Effect of land–atmosphere interactions on the IHOP 24–25 May 2002 convection case. Mon. Wea. Rev., 134 , 113–133.

    • Search Google Scholar
    • Export Citation

  • Kain, J. S., and J. M. Fritsch, 1993: Convective parameterization for mesoscale models: The Kain–Fritsch scheme. The Representation of Cumulus Convection in Numerical Models, Meteor. Monogr., No. 24, Amer. Meteor. Soc., 165–170.

    • Search Google Scholar
    • Export Citation

  • Khairoutdinov, M., and Y. Kogan, 2000: A new cloud physics parameterization in a large eddy simulation model of marine stratocumulus. Mon. Wea. Rev., 128 , 229–243.

    • Search Google Scholar
    • Export Citation

  • Kimura, F., 1989: Heat flux on mixture of different land-use surface: Test of a new parameterization scheme. J. Meteor. Soc. Japan, 67 , 401–409.

    • Search Google Scholar
    • Export Citation

  • Kusaka, H., and F. Kimura, 2004a: Thermal effects of urban canyon structure on the nocturnal heat island: Numerical experiment using a mesoscale model coupled with an urban canopy model. J. Appl. Meteor., 43 , 1899–1910.

    • Search Google Scholar
    • Export Citation

  • Kusaka, H., and F. Kimura, 2004b: Coupling a single-layer urban canopy model with a simple atmospheric model: Impact on urban heat island simulation for an idealized case. J. Meteor. Soc. Japan, 82 , 67–80.

    • Search Google Scholar
    • Export Citation

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

    • Search Google Scholar
    • Export Citation

  • Liu, Y., F. Chen, T. Warner, and J. Basara, 2006: Verification of a mesoscale data-assimilation and forecasting system for the Oklahoma City area during the Joint Urban 2003 field project. J. Appl. Meteor. Climatol., 45 , 912–929.

    • Search Google Scholar
    • Export Citation

  • Loose, T., and R. D. Bornstein, 1977: Observations of mesoscale effects on frontal movement through an urban area. Mon. Wea. Rev., 105 , 563–571.

    • Search Google Scholar
    • Export Citation

  • Louis, J-F., M. Tiedtke, and J. F. Geleyn, 1982: A short history of the operational PBL-parameterization of ECMWF. Workshop on Planetary Boundary Layer Parameterization, Reading, Berkshire, United Kingdom, European Centre for Medium-Range Weather Forecasts, 59–79.

  • Mahrt, L., and M. Ek, 1984: The influence of atmospheric stability on potential evaporation. J. Climate Appl. Meteor., 23 , 222–234.

  • Mahrt, L., and H. L. Pan, 1984: A two-layer model of soil hydrology. Bound.-Layer Meteor., 29 , 1–20.

  • Martilli, A., A. Clappier, and M. W. Rotach, 2002: An urban surface exchange parameterization for mesoscale models. Bound.-Layer Meteor., 104 , 261–304.

    • Search Google Scholar
    • Export Citation

  • Masson, V., 2000: A physically-based scheme for the urban energy budget in atmospheric models. Bound.-Layer Meteor., 94 , 357–397.

  • Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys., 20 , 851–875.

    • Search Google Scholar
    • Export Citation

  • Mills, G., 1997: An urban canopy-layer climate model. Theor. Appl. Climatol., 57 , 229–244.

  • Novak, D. R., and B. A. Colle, 2006: Observations of multiple sea breeze boundaries during an unseasonably warm day in metropolitan New York City. Bull. Amer. Meteor. Soc., 87 , 169–174.

    • Search Google Scholar
    • Export Citation

  • Pan, H-L., and L. Mahrt, 1987: Interaction between soil hydrology and boundary-layer development. Bound.-Layer Meteor., 38 , 185–202.

  • Pullen, J., T. Holt, A. F. Blumberg, and R. D. Bornstein, 2007: Atmospheric response to local upwelling in the vicinity of New York–New Jersey harbor. J. Appl. Meteor. Climatol., in press.

    • Search Google Scholar
    • Export Citation

  • Rutledge, S. A., and P. V. Hobbs, 1983: The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. VIII. A model for the “seeder-feeder” process in warm-frontal rainbands. J. Atmos. Sci., 40 , 1185–1206.

    • Search Google Scholar
    • Export Citation

  • Sailor, D. J., and L. Lu, 2004: A top-down methodology for developing diurnal and seasonal anthropogenic heating profiles for urban areas. Atmos. Environ., 38 , 2737–2748.

    • Search Google Scholar
    • Export Citation

  • Swaid, H., 1993: The role of radiative-convective interaction in creating the microclimate of urban street canyons. Bound.-Layer Meteor., 64 , 231–259.

    • Search Google Scholar
    • Export Citation

  • Tanaka, S., H. Takeda, T. Adechi, and T. Tsuchiya, 1993: Architectural Environmental Engineering. Inoue Co., 301 pp.

  • Thompson, W. T., T. Holt, and J. Pullen, 2007: Investigation of a sea breeze in an urban environment. Quart. J. Roy. Meteor. Soc., in press.

    • Search Google Scholar
    • Export Citation

  • Uno, I., X-M. Cai, D. G. Steyn, and S. Emori, 1995: A simple extension of the Louis method for rough surface layer modeling. Bound.-Layer Meteor., 76 , 395–409.

    • Search Google Scholar
    • Export Citation

  • Vu, T. C., T. Asaeda, and Y. Ashie, 1999: Development of a numerical model for the evaluation of the urban thermal environment. J. Wind Eng. Ind. Aerodyn., 81 , 181–191.

    • Search Google Scholar
    • Export Citation

  • Yamada, T., 1982: A numerical model study of turbulent airflow in and above a forest canopy. J. Meteor. Soc. Japan, 60 , 439–454.

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