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Title: The use of an atmospheric chemistry-transport model (FRAME) over the UK and the development of its numerical and physical schemes
Author: Vieno, Massimo
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2005
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The relatively long runtime (days) of the FRAME model (Fine Resolution Atmospheric Multi-pollutant Exchange) was a limitation for using the model as a policymaker’s tool. Introducing a new and faster numerical scheme (Finite Volume Method) reduced the runtime by a factor of ~36. The FRAME model is now capable of performing 100 runs in 3 days. Introducing high-stack point sources in the emissions inventory led the FRAME model to overestimate sulphur concentrations in areas near strong point sources. The missing process was the plume rise of high-stack emissions which improved surface sulphur concentrations in those areas. The low-level emissions injection height has also been improved introducing a specific sector emission height (i.e. NOx emissions from cars at 1 m and ammonia emissions from housed livestock at 3 m) giving a better performance in predicting ammonia and oxidised nitrogen surface concentrations. The FRAME model used a wind dataset derived from Jones (1981). This dataset uses the geostrophic wind rose and has an unusually high frequency of winds from a northerly direction. A different approach was chosen and a new wind dataset has been derived from radiosonde measurements from various stations across the FRAME domain. The new wind dataset enhanced the export of pollutants with an associated reduced deposition within the FRAME domain. Validation of the FRAME model was made carrying out a comparison between observations from various measurement networks, for surface concentrations and wet deposition and model prediction. A detailed analysis of model versus observations was made focusing on how the model is representative of an entire grid square (5 x 5 km2) whereas observation sites are more representative of the land-use type in which they are located.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available