4. Discussion

    4.1 Location Errors in the ERA5 datasets

The distribution of temperature based on satellite measurements, on a given time and date, can be seen for the 25 stations in Fig. 3. From this graph, it is clear that in the surrounding areas of Frankfurt, the temperature values are spread evenly. The even spread of temperatures shows that the temperature data produced by ERA5 is potentially reliable, as opposed to a dataset with large fluctuations between data points. The high spatial resolution of ERA5 means that temperatures can potentially be mapped out accurately over relatively small geographical areas. This would make it a valuable dataset, which has been noted in Figure 4. It is clear that for each year, the temperature difference varies in a cyclic pattern. This can be observed when following the median of each location as the maximum likelihood parameter. Location 7 , 8, 9, 12, 13, 14, 17, 18, 19 were chosen to continue further analysis of true mean with promising value for a normal distribution with the result shown in Figure 5.