**5. Conclusions**

Traditionally, Precipitation Frequency Estimates (PFE) information is based on near-point observations of sparsely distributed rain gauges. The limited spatial availability of rain gauge stations, and their lack of areal representation, calls for exploring the utility of weather radar techniques for PFE analysis. This study examined the applicability of a spatial bootstrap regional approach to derive PFEs using radar-based Quantitative Precipitation Estimates (QPE). The focus was on whether the spatial bootstrap regional method can address typical limitations in using short-record radar datasets for PFE analysis. The analysis was performed over the domain of the state of Louisiana in southcentral USA. The key conclusions of our study are as follows:


The overall results of the current study indicate the potential power of regional spatial bootstrap technique in deriving PFEs from radar-based QPE at high spatial and temporal resolutions. Given the global coverage of satellite data at high spatiotemporal resolution, it is of interest, particularly in regions with scarce in-situ data, to advocate the use of satellite-based PFEs in the design, operation, and planning of infrastructure. Therefore, a robust regional approach, as the spatial bootstrap method, can be very useful in reducing uncertainties associated with satellite-based PFEs. Future studies can

also explore a viable approach that combines information from both radar and rain gauge sources to capitalize on their respective strengths and improve the PFE estimation process. Such accurate and regionally representative PFE information are critically needed for various water resources engineering planning and hydrologic design applications.

**Author Contributions:** H.E. conceived and designed the study, carried out data analysis and drafted the manuscript. E.H. participated in the design of the study, contributed to the interpretation of data and critically revised the draft of the manuscript providing substantial contributions to improve the presentation of results. Both authors read and approved the final manuscript. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding and was supported by internal institutional resources.

**Acknowledgments:** The authors acknowledge internal institutional funding for supporting the study through the Department of Civil Engineering and the Watershed Flood Center at the University of Louisiana at Lafayette.

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