Combination of interpolated observational data and modelling results

FLADIS calculates a weighted mean concentration of the interpolated measured data and the employed model for each grid point at each point in time for which data is available. The weighting factor is the coefficient of determination between the measurements and the model results. It assigns a higher influence to model results for points in time at which the model is able to explain the measurements.

Model results may be provided from internal or external models. Internal models are a balance approach and a linear statistical model. External models, e.g. LASAT, RCG, EURAD or IMMIS, can be used via predefined interfaces. FLADIS includes a data assimilation module that calibrates the model background fields prior to their combination with the interpolated measured data. 

Parameters crucial to the distribution of air pollutants, such as the orography and the meteorology, are taken into account. The emission structure of individual pollutants can be processed directly from emission inventories using the uniform emission interface EES of FLADIS.





Weighted combination