application of the urban version of mm5 for houston

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1/26 APPLICATION OF THE URBAN VERSION APPLICATION OF THE URBAN VERSION OF MM5 FOR HOUSTON OF MM5 FOR HOUSTON University Corporation for Atmospheric Research Sylvain Dupont Sylvain Dupont Collaborators: Steve Burian, Jason Collaborators: Steve Burian, Jason Ching Ching E-mail: [email protected] E-mail: [email protected]

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APPLICATION OF THE URBAN VERSION OF MM5 FOR HOUSTON. Sylvain Dupont Collaborators: Steve Burian, Jason Ching E-mail: [email protected]. University Corporation for Atmospheric Research. Urbanized version of MM5. DA-SM2-U. Soil Model for Sub-Meso scales - Urbanized version. - PowerPoint PPT Presentation

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  • APPLICATION OF THE URBAN VERSION OF MM5 FOR HOUSTONUniversity Corporation for Atmospheric ResearchSylvain DupontCollaborators: Steve Burian, Jason Ching

    E-mail: [email protected]

  • Urbanized version of MM5Drag-Force ApproachDA-SM2-USimulation of meteorological fields within and above rural and urban canopies.Neighborhood scale: 1-km horizontal grid spacing and few meter vertical grid spacing inside the canopyCanopy elements are not explicitly defined but spatially averagedSoil Model for Sub-Meso scales - Urbanized version

  • General ObjectiveModeling air-quality for estimating human exposure to air pollution in urban areas by using CMAQ.Specific Objectives of this presentationComputation of the Houston morphological parameters for DA-SM2-U.Influence of the Houston representation on the urban boundary layer structureWhat degree of urban representation detail do we need at neighborhood scales ?

  • DA-SM2-UIntroduced inside the Gayno-Seaman PBL scheme

    Latent heat flux

    Sensible heat flux

    roof

    LEpav

    natural soil

    water

    Ts pav

    Root zone layer

    Diffusion

    Drainage network

    Drainage outside the system

    Infiltration

    Deep soil layer

    Paved surface

    Surface layer

    Drainage

    Precipitation

    Anthropogenic

    heat flux

    Storage heat flux

    Net radiation

    Hsens pav

    Gs pav

    Roughness approach

    Drag-Force approach

    Ts roof

    wall

    Q

    int

    T

    bare soil

    Rn pav

    _1073736329.doc

    Rn can

    Tint

    Qwall

    Ts roof

    Ts can

    Hsens can

    LEcan

    Gs can

    _1029856457.unknown

    _1029856590.unknown

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    _1073736961.doc

    Rn can

    Tint

    Qwall

    Ts roof

    Ts can

    Hsens can

    LEcan

    Gs can

    _1029856457.unknown

    _1029856590.unknown

    _1030271372.unknown

    _1030271395.unknown

    _1030271291.unknown

    _1029856519.unknown

    _1020266708.unknown

    _1020267077.unknown

    _1020266243.unknown

    _1073735727.doc

    Rn can

    Tint

    Qwall

    Ts roof

    Ts can

    Hsens can

    LEcan

    Gs can

    _1029856457.unknown

    _1029856590.unknown

    _1030271372.unknown

    _1030271395.unknown

    _1030271291.unknown

    _1029856519.unknown

    _1020266708.unknown

    _1020267077.unknown

    _1020266243.unknown

  • Momentum equation = forcing terms(modification of vertical turbulent transport term)+ momentum sources due to building horizontal surfaces (friction force)+ momentum sources due to the pressure and viscous drag forces induced by the vegetation and the building vertical surfaces

  • Heat equation = forcing terms (modification of vertical turbulent transport term)+ sensible heat sources from surfaces+ anthropogenic heat sources (Taha, 1999)Humidity equation= forcing terms(modification of vertical turbulent transport term)+ humidity sources from surfaces + anthropogenic humidity sources (not considered)

  • TKE equation= forcing terms(modification of vertical turbulent transport) + shear production by building horizontal surfaces + buoyant production from the surface sensible heat fluxes + wake production due to the presence of vegetation and buildings

    + dissipation due to the accelerated cascade of TKE from large to small scales due to the canopy elements

  • Parameterization of the turbulent length scale of Bougeault and Lacarrre (1989) inside the Gayno-Seaman PBL model.

    Addition of a turbulent length scale in the dissipation rate of TKE to consider the size of the wake eddies inside the canopy (following Martilli et al. (2002) for building canopy).Turbulent Length Scale

  • SM2-U(3D)Dupont et al.: 2003a, Parameterisation of the Urban Water Budget by Using SM2-U model. (Submitted to Journal of the Applied Meteorology)Dupont et al.: 2003b, Parameterisation of the Urban Energy Budget with the SM2-U model for the Urban Boundary Layer Simulation.(Submitted to Boundary-Layer Meteorology)SM2-U(3D) is a multi-layers rural and urban canopy model derived from the one-layer canopy model SM2-U.The model estimates the sensible and latent heat fluxes at each level within the canopy.

  • Philadelphia case (July 14th, 1995)DA-SM2-U is capable of simulating the important features observed in the urban and rural roughness sub-layer.

    Comparison with measurements showed that the surface air temperature simulation above rural and urban areas is improved with DA-SM2-U compared to the standard version of MM5.Dupont et al.: 2003c, Simulation of Meteorological Fields within and above Urban and Rural Canopies with a Mesoscale Model (MM5).(Submitted to Boundary-Layer Meteorology)

  • Meteorological fields inside the canopy at 2 m above the ground

  • Houston caseAugust 25 September 1, 2000 (portion of the Texas 2000 Air Quality Study field program).

    MM5 has been run by Nielsen-Gammon in a one-way nested configuration: 108-, 36-, 12-, and 4-km horizontal grid spacing.

    DA-SM2-U is used for a 1-km horizontal grid spacing domain (141 x 133 x 48).

    Canopy morphological parameters computed by Steve Burian

  • Morphological parameter domainMM5 1-km domain

  • Land Use / Land Cover USGS level II (38 categories)

  • Airborne LIDAR dataset from TerraPoint LLCFor the all Harris county (compressed data is ~70 GB, uncompressed ~300+ GB)

    Give the earth elevation and the elevation of the top of canopy elements.

    1-m and 5-m horizontal grid spacing,

    Horizontal accuracy of 15 to 20 cm RMSE, Vertical accuracy of 5 to 10 cm RMSE

  • Example of Airborne LIDAR

  • High-resolution aerial photos (Harris A) Land Use / Land CoverAirborne LIDAR dataBuilding footprint dataset (Harris A)ArcView map calculator Morphological parameters for Harris A(1-km2 horizontal resolution and 1-m vertical resolution)Correlation between the morphological parameter values and the Land Use Morphological parameters for the all computational domain +

  • Mean building and vegetation height Building plan area densityVegetation plan area densityBuilding rooftop area densityVegetation top area densityBuilding frontal area density for 4 wind directionsVegetation frontal area densityWall-to-plan area ratioBuilding height-to-width ratioSurface fraction of vegetation, roads, rooftops, and waterSky view factor at ground level and as a function of heightAerodynamic roughness length and displacement height (Raupach, Macdonald, Bottema)Mean orientation of streetsApproximations for impervious area, directly connected impervious area, and building materialForDA-SM2-U

  • Detailed city: specific morphological parameters are deduced for each grid cell of Harris A, outside they are deduced following the Land Use from their correlations in Harris A.Average city: morphological parameters are deduced following the Land Use for the entire domain.Influence of the city representation:

  • Detailed cityAverage cityRoof fraction

  • Detailed cityAverage cityHeight-to-width ratio

  • Detailed cityAverage city

  • Detailed cityAverage cityDetailed cityAverage city4 p.m.12 a.m.

    Surface temperature

  • Detailed cityAverage cityDetailed cityAverage cityTKEPBL height

    4 p.m.

  • ConclusionsA neighborhood scale version of MM5 (DA-SM2-U) has been developed and tested successfully on Philadelphia.A huge morphological database has been constructed on Houston for DA-SM2-UThe choice of the representation of the city of Houston (detailed or average city) seems to have an impact on the UBL structure, especially during unstable conditions.This study needs to be continued with different average representations of the city.

  • Future plansComparison of simulated and observed surface meteorological fields (25 surface observation stations).The first results seem to indicate an improvement of the wind speed at 10 m by comparison to the results of the standard version of MM5. However, the see breeze seems to be too weak toward the city.CMAQ simulation on Houston by using meteorological fields from MM5-DA-SM2-U

    IntroductionIntroduction