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Land Surface Fields

Land surface fields, or land surface characteristics, are of primary importance in numerical environmental prediction (weather, hydrology). The accuracy of land surface modeling directly depends on the quality of these fields, which provide information on the geometric and thermal characteristics of the surface.

The list of surface fields to be initialized for ISBA (land surface scheme of GEM and GEM-Surf) is the following: The general approach that is used to specify most of the surface parameters is schematically presented in the figure below.

surface_fields_org

This methodology is currently being used to produce a consistent set of surface characteristics for regions with urban areas (including buildings and roads) and / or natural areas (including bare soil and vegetation-covered surfaces). In the Surface Processor, the GenPhysX module read the appropriate databases and specify the orographic parameters (grid- and subgrid-scale), the water fractional coverage, the soil texture, and the fractional coverage for each type of vegetation land cover.

The GenPhysX module (Zadra et al., 2008) processes the databases for these specific aspects and perform spatial averaging, counting, as well as calculations for orography (mean height, slope, aspect, and subgrid-scale parameters). Some of the parameters are directly used by GEM and GEM-Surf, such as the soil texture, grid-scale orography, and water fractional coverage. Other GenPhysX outputs are provided to the Surface Pre-Processor (subgrid-scale orographic parameters, vegetation fractions). Together with other inputs, i.e., climatologies for albedo, NDVI, and LAI, the Surface Pre-Processor produces the rest of the surface parameters over land, including the LAI, vegetational fractional coverage, vegetation paramters, albedo, root-zone depth.

The UrbanX module, on the other hand, reads another set of databases to calculate the geometric parameters of city areas and uses a series of look-up tables to specify the thermal parameters for the urban areas. The list of surface parameters to be initialized for TEB (urban component) is the following:

NATFfraction of natural surface
BLDFfraction of building
PAVFfraction of paved area
BLDHbuilding height
Z0RFroof aerodynamic roughness length
Z0RDroad aerodynamic roughness length
ALRFalbedo roof
ALRDalbedo road
ALWLalbedo wall
EMRFemissivity roof
EMRDemissivity road
EMWLemissivity wall
HCRF(ip1=1199) heat capacity layer 1 roof
HCRD(ip1=1199) heat capacity layer 1 road
HCWL(ip1=1199) heat capacity layer 1 wall
HCRF(ip1=1198) heat capacity layer 2 roof
HCRD(ip1=1198) heat capacity layer 2 road
HCWL(ip1=1198) heat capacity layer 2 wall
HCRF(ip1=1197) heat capacity layer 3 roof
HCRD(ip1=1198) heat capacity layer 3 road
HCWL(ip1=1197) heat capacity layer 3 wall
TCRF(ip1=1199) thermal conductivity layer1 roof
TCRD(ip1=1199) thermal conductivity layer1 road
TCWL(ip1=1199) thermal conductivity layer1 wall
TCRF(ip1=1198) thermal conductivity layer2 roof
TCRD(ip1=1198) thermal conductivity layer2 road
TCWL(ip1=1198) thermal conductivity layer2 wall
TCRF(ip1=1197) thermal conductivity layer3 roof
TCRD(ip1=1197) thermal conductivity layer3 road
TCWL (ip1=1197) thermal conductivity layer3 wall
DPRF (ip1=1199) heat capacity layer 1 roof
DPRD (ip1=1199) heat capacity layer 1 road
DPWL (ip1=1199) thickness layer 1 wall
DPRF (ip1=1198) thickness layer 2 roof
DPRD (ip1=1198) thickness layer 2 road
DPWL (ip1=1198) thickness layer 2 wall
DPRF (ip1=1197) thickness layer 3 roof
DPRD (ip1=1197) thickness layer 3 road
DPWL (ip1=1197) thickness layer 3 wall
QHTR sensible anthropogenic heat flux generated by traffic road
QETR latent anthropogenic heat flux generated by traffic road
QHIN sensible anthropogenic heat flux generated by industry roof
QEIN latent anthropogenic heat flux generated by industry roof
WHOR S_wall/S_horizontal canopy
Z0TW canopy aerodynamic roughness length canopy


References
For more information on the methods used to generate the surface fields for MCS's operational and research systems, the following documents are available:

Bélair, S., 2012: Algorithms for land surface characteristics in GEM. Internal document. Link to PDF

Bélair, S., 2012: Algorithms for land surface characteristics in the high-resolution external land surface modeling system GEM-Surf. Internal document. Link to PDF

Lemonsu, A., A. Leroux, S. Bélair, S. Trudel, and J. Mailhot, 2008: A general methodology of urban land cover type classification for atmospheric modeling. Internal document. Link to PDF

Leroux, A., J.-P. Gauthier, A. Lemonsu, S. Bélair, and J. Mailhot, 2009: Automated urban land used and land cover classification for mesoscale atmospheric modeling over Canadian cities. Geomatica, 63, 393-406. Link to PDF

Zadra, A., J.-P. Gauthier, and A. Leroux, 2008: GenPhysX a user's guide to input/output and methods. Internal document. Link to PDF