The open-source programming language R has gained a central place in the hydrological
sciences over the last decade, driven by the availability of diverse hydro-meteorological data …

The accurate representation of spatio-temporal patterns of precipitation is an essential input
for numerous environmental applications. However, the estimation of precipitation patterns …

Accurate representation of the real spatio-temporal variability of catchment rainfall inputs is
currently severely limited. Moreover, spatially interpolated catchment precipitation is subject …

How useful are satellite-based rainfall estimates (SRFE) as forcing data for hydrological
applications? Which SRFE should be favoured for hydrological modelling? What could …

Hydrological models have to be calibrated accurately to provide reasonable model results.
For a concise model evaluation, the different phases of the hydrograph have to be …

Gridded precipitation products (GPPs) represent an alternative to and a complement to
gauge-based observations of precipitation, improving the representation of spatio-temporal …

Interactions between surface water (SW) and groundwater (GW) have been identified as a
major contributing factor to non-stationarity in rainfall-runoff relationships. However, because …

This work presents and illustrates the application of hydroPSO, a novel multi-OS and model-
independent R package used for model calibration. hydroPSO allows the modeller to …

Hydrological models are useful tools to analyze present and future conditions of water
quantity and quality. The integrated modelling of water and nutrients needs an adequate …

This study investigated temporal variabilities and trends of rainfall and discharges in Tana
River Basin in Kenya using Mann–Kendall non-parametric test. Monthly rainfall data from …