By Carlos Borrego, Ann-Lise Norman
This quantity seeks to hide the newest clinical advancements within the box of pollution modelling. It comprises papers and posters offered on the lawsuits of the Twenty-Seventh NATO/CCMS foreign Technical assembly on pollution Modelling and Its software, November 2004.
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Extra info for Air Pollution Modeling and its Application XVII
Furthermore, an analytical model for wind velocity and diffusivity profiles inside the urban canopy is suggested (Zilitinkevich and Baklanov, 2004). 2. , 2003) for urban areas. Recently this module was coupled to the DMI-HIRLAM model for non-urban areas. The approach can be extended for urban canopies as well. However, experimental data are needed to verify parameterisations for urban areas. 3. implementation of special physical parameterisations for the urban sublayer into the NWP models. , 2003a,b).
3. implementation of special physical parameterisations for the urban sublayer into the NWP models. , 2003a,b). At the current stage of progress the following examples of ‘urbanisation’ within models have been completed (Baklanov and Joffre, 2003; Baklanov and Mestayer, 2004). 4. Urban Meteorology, Air Pollution and Population Exposure 35 1. Increased resolution and surface data bases for the roughness length calculation in NWP models was tested in DMI-HIRLAM, LM, MM5 and RAMS models. 4 km and 1 km land-use classification using 21 land classes and urban subclasses.
The harmonised analysis and evaluation of the model simulations with original, and increased model resolution, but unaltered physics for agreed cities and episodes, and 3. the controlled inter-comparison of the simulations of the various models. The NWP and meso-meteorological models considered for urbanisation include: 1. DMI-HIRLAM model (DMI); 2. Lokalmodell (LM) (DWD); 3. MM5 model (CORIA, DNMI, UH); 4. RAMS model (CEAM, Arianet); 5. Topographic Vorticity-Mode Mesoscale (TVM) Model (UCL); 6.