## 5 Conclusions  
In this paper, an attempt was made to present the philosophy and specific features of two software packages developed at the Radar Department of the Slovak Hydrometeorological Institute. Both the _qRad_ and _qPrec_ packages are based on the concept of quality information (QI) of the radar measurements. Different QIs express different factors (environmental, meteorological, technological, etc.) that influence the radar data and their quality. The overall quality of the individual radars can then be considered in the construction of radar composites, and consequently a wide spectrum of unwanted features can be suppressed or completely eliminated in the new, clean radar composites. The _qPrec_ package also takes advantage of the radar quality information in the quantitative estimation of precipitation amounts and intensities.  
We demonstrated the value of the software packages via different use-cases. These involved clean radar composites that may directly contribute to increased flight safety, high quality estimation and mapping of long-term precipitation, and improved performance of hydrological modelling as a result of the QI-based estimation of catchment precipitation.  
Improved radar composites also offer indirect benefits in accordance with sustainability and environmental protection. These are, for instance, fuel savings in the case of effective planning or modification of flight routes based on the clean (QI-based) radar composites. A further, sustainability-compatible benefit of the QI-based QPE is the estimation of the risk of aquaplaning on runways. Having information on the runway surface conditions, pilots may avoid runway excursions and, thus, reduce the risk of ecological or other forms of disasters.  
The results of this study present a positive answer to the research question, which is reflected in the created software tools _qRad_ and _qPrec_, verified on various praxeological examples from various fields of hydrology and meteorology. The presented solutions provide innovative contributions for academic discussion and practice, particularly the strengthening of situational awareness to increase flight safety and to support sustainable and environmentally friendly aviation activities.  
Conceptualization, L.M. and M.J.; methodology, L.M. and M.J.; software, L.M.; validation, L.M.; formal analysis, M.G. ([PERSON]) and M.G. ([PERSON]); investigation, L.G.; resources, M.J.; data curation, J.B.; writing--original draft preparation, L.G. and J.B.; writing--review and editing, L.G. and M.K.; visualization, L.M.; supervision, M.K. and M.G. ([PERSON]); project administration, M.G. ([PERSON]) and M.G. ([PERSON]); funding acquisition, M.J. and J.B. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the project \"System of More Accurate Prediction of Convective Precipitation over the Regional Territorial Unit\" (No. VI20192022134, Ministry of Interior of the Czech Republic), and partially funded by SESAR JU, Grant Agreement No. 874472, under EU's Horizon2020 Research and Innovation Program. This publication is also partially a result of the project implementation \"Scientific Support of Climate Change Adaptation in Agriculture and Mitigation of Soil Degradation\" (ITMS2014+ 313011W580) supported by the Integrated Infrastructure Operational Programme funded by the ERDF.  
**Institutional Review Board Statement**: Not applicable.  
**Informed Consent Statement**: Not applicable.  
**Acknowledgments**: The contribution of hydrologists of the Slovak Hydrometeorological Institute is acknowledged.  
**Conflicts of Interest**: The authors declare no conflict of interest.