Radar-based rainfall information has been widely used in hydrological and meteorological
applications, as it provides data with a high spatial and temporal resolution that improve …

Meteorological forcing is a major source of uncertainty in hydrological modeling. The recent
development of probabilistic large‐domain meteorological data sets enables convenient …

The availability of accurate spatiotemporal rainfall data is of utmost importance for reliable
predictions from hydroclimatological studies. Challenges and limitations faced due to the …

Patterns of distinct preferential pathways for fluid flow and solute transport are ubiquitous in
heterogeneous, saturated and partially saturated porous media. Yet, the underlying reasons …

This research intends to predict the discharge (run-off) from rainfall for which the model is
built using W-flow. The research location is in the Gajah Mungkur reservoir (Wonogiri) in …

Stable isotopes (δ 18 O) and tritium (3 H) are frequently used as tracers in environmental
sciences to estimate age distributions of water. However, it has previously been argued that …

One of the persistent challenges of Land Surface Models (LSMs) is to determine a realistic
yet efficient sub‐grid representation of heterogeneous landscapes. This is particularly …

Accurate estimates of spatial patterns of daily precipitation are critically important for
numerous hydrologic applications. However, the estimation of daily precipitation is still …

Floods resulting from high‐intensity rainfall events are known to be difficult to simulate. The
catchment response to such events is very heterogeneous due to complex combinations of …

Identifying situations where a hydrological model yields poor performance is useful for
improving its predictive capability. Here we applied an evaluation methodology to diagnose …