**5. Conclusions**

The proprietary research presented in this article concerns the issue related to the quality analysis of information obtained from the weathers station's sensors. Currently, most scientific work is increasingly devoted to developing efficient and reliable sensors and weather station systems. A large body of studies also involves the analysis of data obtained from sensors of meteorological stations and their characteristic properties, estimating missing data in meteorological information and assessing the quality of weather information. This is a good research direction, but a broader perspective should also be adopted to assess the quality of information obtained from weather sensors. Such an approach is demonstrated in this article. The structure of a real meteorological station and the metrological data obtained from it were analysed. A set of factors influencing the indirect hypothesis was identified that constitute the final hypothesis (i.e., the data were correctly interpreted). The specific mathematical apparatus usage and the scrutiny carried out enabled the developing of an information quality model that uses calculations of the certainty factor (CF) of the hypothesis. The whole is a proprietary method of uncertainty modelling applied to estimate the quality of information obtained from meteorological station's sensors. The employment of the method allows, in practice, a more accurate defining of the value of information quality, taking into account many factors that determine it. In particular, it allows one to analyse the impact of individual information processing procedures on the quality of this information and the impact of quality dimensions and of redundancy on this quality. As a result, it becomes possible to identify those elements of the procedures of information acquisition and processing that negatively affect the quality of information.

The authors plan to continue their research with a model which includes a larger number of different sensors forming a meteorological station, with particular emphasis on the reliability and the exploitation dependencies between them.

**Author Contributions:** Conceptualization, M.S. and W.O.; methodology, M.S. and A.R.; software, M.S.; validation, W.O. and T.D.; formal analysis, M.S., A.R. and T.D.; investigation, M.S. and W.O.; resources, W.O. and T.D.; data curation, W.O.; writing—original draft preparation, M.S., W.O. and A.R.; writing—review and editing, A.R. and T.D.; visualization, M.S.; supervision, A.R. and T.D.; project administration, A.R. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Data Availability Statement:** The data presented in this study are available on request from the corresponding author.

**Conflicts of Interest:** The authors declare no conflict of interest.
