Comparison of different radar-raingauge rainfall merging techniques.

The improvement of precipitation estimation with the use of radar-rain gauge rainfall merging techniques is influenced by several factors, such as topography, storm types, rain gauge network density for adjustment, data quality and the rainfall accumulation time. However, the influence of the rain gauge network configuration on the performance of radar-rain gauge merging methods is often ignored. The aim of this study is to compare and evaluate the performance of different radarra in gauge merging methods on various densities of rain gauge network and rain gauge network configurations. The analysis of the effect of the rain gauge network density shows that the performance of Kriging merging methods increases with the increase of rain gauge network density. The results also showed that the influence of rain gauge network configuration on the spatial distribution of precipitation of the merged products is relatively smaller for the Kriging with radar based error correction (KRE) and Kriging with external drift (KED) methods than for the ordinary Kriging method. This indicates that the inclusion of radar data in the KRE and KED methods helps to maintain the spatial distribution of precipitation on an hourly timescale. According to the statistical performance indicators and visual inspection of the merged rainfall fields, the KED outperforms the other radar-raingauge merging techniques, regardless of raingauge network density and configuration. [ABSTRACT FROM AUTHOR]