Urban air pollution modelling and measurements of boundary layer height |
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| Affiliation: | 1. School of Environment and Life Sciences, Peel Building, University of Salford, Salford M5 4WT, UK;2. Met Office, FitzRoy Road, Exeter, Devon EX1 3PB, UK;1. Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece;2. Department of Meteorology and Climatology, Aristotle University of Thessaloniki, Thessaloniki, Greece;3. Finnish Meteorological Institute, Kuopio, Finland;4. Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens 15236, Greece;1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China;2. Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China;1. State Key Laboratory of Severe Weather & Key Laboratory for Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China;2. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China;1. University of Duisburg-Essen (UDE), Faculty of Biology, Department of Applied Climatology and Landscape Ecology, Schützenbahn 70, 45127 Essen, Germany;2. Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Department of Atmospheric Environmental Research (IMK-IFU), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany;1. Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China;2. Shanghai Meteorological Service, Shanghai, 200030, China;3. Key Laboratory of Aerosol Science and Technology, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi''an, 710000, China;4. CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen, 361021, China;5. National Center for Atmospheric Research (NCAR), Boulder, 80303, USA |
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| Abstract: | An urban field trial has been undertaken with the aim of assessing the performance of the boundary layer height (BLH) determination of two models: the Met Office Unified Model (UM) and a Gaussian-type plume model, ADMS. Pulsed Doppler lidar data were used to measure mixing layer height and cloud base heights for a variety of meteorological conditions over a 3 week period in July 2003. In this work, the daily growth and decay of the BLH from the lidar data and model simulations for 5 days are compared. The results show that although the UM can do a good job of reproducing the boundary layer growth, there are occasions where the BLH is overestimated by 30–100%. Within dispersion models it is the BLH that effectively limits the height to which pollution disperses, so these results have very important implications for pollution dispersion modelling. The results show that correct development of the boundary layer in the UM is critically dependant on morning cloud cover. The ADMS model is used routinely by local authorities in the UK for local air-quality forecasting. The ADMS model was run under three settings; an ‘urban’ roughness, a ‘rural’ roughness and a ‘transition’ roughness. In all cases, the ‘urban’ setting over estimated the BLH and is clearly a poor predictor of urban BLH. The ‘transition’ setting, which distinguishes between the meteorological data input site and the dispersion modelling site, gave the best results under the well mixed conditions of the trial. |
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