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• W2280506973 abstract "The use of models to analyse the complex atmospheric processes deals with a lot of uncertainties of key parameters, most prominently the emission rates along with the initial values. Especially for campaigns, the ability to analyse the processes is dependent on the most precise state of the variables needed for the parametrisation of the system, notably the emissions. Using its 4D-var and inverse modelling scheme, the chemistry transport model EURAD-IM is able to provide optimised initial state variables, highlighting the optimisation of the emission factors for the gas phase. In order to address how emission plumes can be identified, real case studies were applied with EURAD-IM to study the dispersion of the anthropogenic emissions over regional to urban surface within the planetary boundary layer. To achieve a high analysis skill, some features needed to be updated and also some new to be developed and added to the model setup. The online calculation of emissions in the CTM has been coupled to the joint optimisation of initial values and emission rates, providing detailed spatial and temporal emission distribution per source and per grid cell. Moreover, improvement of the background emission factor error covariances is achieved by including additional correlations between the emitted species and rectifying the standard deviations of the emission factors, optimising, thus, the precondition of the minimisation problem. In addition, assimilation of the comprehensive observational set of PEGASOS project during campaign in the polluted region of Po valley, performed to study the vertical structure of the atmosphere, analysing the mixing within the PBL and to validate the airborne data influence on the model performance. Quality control of the assimilation procedure, obtained by χ2-validation and comparison with independent observations, shows successful minimisation performance of the 4D-var algorithm. The case study analysis concluded to optimised emission factors, addressing also the lack of representativity of observations (such as NO2) by the high resolution of the nesting technique - up to 1 km. The more in depth assessment of the vertical mixing in the PBL, by the assimilation of the airborne campaign measurements, captures fairly clear the temporal variations of the emission patterns, the influence of the inverse temperature on the concentrations of pollutants and the layered structure of the PBL. In general, considerable improvement of the forecast quality of the model is achieved and the system's ability to provide improved chemical consistent simulation results throughout the PBL, mainly in urban polluted regions, is demonstrated. Besides, the assimilation of airborne measurements could be applied to shed light to the development of the PBL and the processes there in, information that is shown to miss when no campaign data are available." @default.
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• W2280506973 date "2015-08-31" @default.
• W2280506973 modified "2023-09-27" @default.
• W2280506973 title "Inverse modelling for the tropospheric chemical state estimation by 4-dimensional variational data assimilation from routinely and campaign platforms" @default.
• W2280506973 hasPublicationYear "2015" @default.
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