Improved rain gauge network density enhances accuracy of hydrological models.
Rain gauge networks can be unreliable due to sparse coverage and variability in precipitation. This study in Lower Saxony used radar data corrected with rain gauge info to compare two interpolation methods. In winter, both methods performed better than in summer, with Ordinary Kriging slightly outperforming Inverse Distance Weighting. Increasing gauge density improved performance, with IDW being more consistent at higher densities. Ordinary Kriging was better up to 70% density, then equalled IDW. Hydrological modeling results mirrored the precipitation findings, with no improvement beyond 50% gauge density.