Fine Scale Meteorology & Air Quality Models - School of Architecture ...
Fine Scale Meteorology & Air Quality Models - School of Architecture ...
Fine Scale Meteorology & Air Quality Models - School of Architecture ...
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ASI2_Lecture 3_7/12/2011<br />
Land Surface Modeling<br />
• Accounts for subgrid-scale sensible and latent<br />
fluxes<br />
• LSM becomes increasingly important:<br />
-More complex PBL schemes are sensitive<br />
to surface fluxes and cloud/cumulus schemes<br />
are sensitive to the PBL structures<br />
NWP models decrease their grid-spacing (1-km<br />
and sub 1-km). Need to capture mesoscale<br />
circulations forced by surface variability in<br />
albedo, soil moisture/temperature, landuse,<br />
and snow<br />
• Challenges:<br />
Tremendous land surface variability<br />
Complex land surface/hydrology processes<br />
Initialization <strong>of</strong> soil moisture & temperature<br />
WRF LSM provides surface energy flux<br />
- ground heat storage Q G<br />
- surface sensible heat flux Q H<br />
- surface latent heat flux Q E<br />
-upward longwave radiation Q lu<br />
Alternatively:<br />
-skin temperature and sfc emissivity<br />
-upward (reflected) shortwave radiation,<br />
Q S<br />
- surface albedo, including snow effect<br />
ASI 2: URBAN CLIMATE AND AIR POLLUTION <strong>School</strong> <strong>of</strong> <strong>Architecture</strong>, The Chinese University <strong>of</strong> Hong Kong, Hong Kong, 7-8 Dec 2011<br />
Land Surface Options in WRF (5)<br />
• =1 sf_surface_physics: 5-layer<br />
thermal diffusion model, no prediction <strong>of</strong><br />
soil moisture, snow, and vegetation.<br />
• =2 sf_surface_physics: Noah LSM<br />
(Unified ARW/NMM Version 3)<br />
• Vegetation effects<br />
• Predicts soil temperature and soil<br />
moisture in four layers and diagnoses<br />
skin temperature,<br />
• Predicts snow cover and canopy<br />
moisture, handles<br />
• Fractional snow cover and frozen soil<br />
• New time-varying snow albedo (in V3.1)<br />
• Noah is coupled with two Urban Canopy<br />
Model (UCM) options (sf_urban_physics,<br />
ARW only)<br />
=1 sf_urban_physics: single layer<br />
UCM (SLUCM)<br />
=2 sf_urban_physics: Multi-layer<br />
Building Environment<br />
Parameterization (BEP), Used with MYJ<br />
or BouLac to represent buildings<br />
higher than lowest model levels<br />
=3 sf_urban_physics: Building<br />
Energy Model (BEM). Works with<br />
BEP.<br />
• =3 sf_surface_physics: RUC LSM<br />
• • Vegetation effects included<br />
• • Predicts soil temperature and soil<br />
moisture in six layers<br />
• • Multi-layer snow model<br />
• =7 sf_surface_physics: Pleim-Xiu<br />
LSM (EPA)<br />
• • New in Version 3<br />
• • Vegetation effects included<br />
• • Predicts soil temperature and soil<br />
moisture in two layers<br />
• • Simple snow-cover model<br />
• =88 sf_surface_physics: GFDL slab<br />
model. Simple land treatment<br />
ASI 2: URBAN CLIMATE AND AIR POLLUTION <strong>School</strong> <strong>of</strong> <strong>Architecture</strong>, The Chinese University <strong>of</strong> Hong Kong, Hong Kong, 7-8 Dec 2011<br />
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