Air-chemistry-models are used for doing research on how emissions are having impact on areas of interest. These models need emission input data for the simulations. The more accu-rate and higher resolved those input data are, the better are the results of the simulations.In this work it is shown, how highly resolved emission data are integrated into the air-chemistry-model WRF-Chem. The necessary emission data were acquired within the project PMinter (http://pminter.eu). A result of the project was the PMinter dataset. During the pro-ject, another dataset (MACC dataset) was acquired. The PMinter dataset is a highly resolved emission dataset, the MACC dataset has a lower resolution. In this work it is described, how those datasets are merged. The PMinter dataset does not cover whole Europe. Missing data are taken from the lower resolved MACC dataset.To achieve the merging of the datasets, existing software was modified and partly written new. The work on the software leaded to an enormous advantage in performance for the data processing. Program runs took originally several hours or days, after the modifications just some seconds or minutes. The changes also leaded to an ease in handling the software as well as a lower error-proneness due to handling. Emission data were processed with the modified software for a certain area. The output of the software were datasets with different resolutions. Those outputs were compared. The result of this investigation is, that higher resolutions are showing better structures of the emission data.Finally, results of simulations for one area of interest are shown. Once with high and once with low resolution. The comparison of the results show, that simulations with high resolu-tion correlate more to reality than those with low resolution.