LAGRANGIAN PARTICLE MODEL LAMBDA - EVALUATION AGAINST TRACER DATA

The capabilities of the Lagrangian particle model LAMBDA in simulating tracer dispersion are shown. Two different datasets of experimental c ampaigns proposed in the Manno Workshop (Copenhagen and Lillestrom) ar e used to compare measured and calculated concentrations. LAMBDA, whic h is based on the Langevin equation, can use as input higher moments ( like skewness and cross-correlations) of the atmospheric probability d ensity function (p.d.f.). The model can take into account the time and space variation of all the input parameters and can use numerical sch emes of different complexity depending on the number of available mome nts of the atmospheric p.d.f. However, it is able to correctly simulat e pollutant dispersion using simpler input datasets and proper paramet rizations, as was shown in previous papers. The comparisons of observe d and predicted concentrations and the model evaluation indicate that LAMBDA can yield reasonably good results.