HGS RESEARCH HIGHLIGHT – Using High-Resolution Data to Test Parameter Sensitivity of the Distributed Hydrological Model HydroGeoSphere

By integrating HydroGeoSphere in this study, the researchers demonstrate its versatility in accommodating high-resolution data and conducting sensitivity analyses across different spatial scales. Precipitation emerges as the most sensitive input data, significantly influencing total runoff and peak flow rates. Additionally, the study highlights the importance of spatially distributed land use parameterization in accurately simulating evapotranspiration components and patterns.