Computer models are essential tools in the earth system sciences. They underpin our
search for understanding of earth system functioning and support decision-and policy …

This study applied a GR4J model in the ** countries, and the need for timely, reliable …

Following the rise of R as a scientific programming language, the increasing requirement for
more transferable research and the growth of data availability in hydrology, R packages …

Generally, reliable simulation results are obtained by calibrating and validating the
parameters of a hydrological model through a split-sample test. To obtain adequate and …

In this study, a particle copula Metropolis-Hastings (PCMH) approach was developed for
reliable uncertainty quantification of hydrological predictions. The proposed PCMH …

The consistency of hydrological models, ie their ability to reproduce observed system
dynamics, needs to be improved to increase their predictive power. As using streamflow …

Satellite precipitation estimates (SPE), characterized by high spatial-temporal resolution,
have been increasingly applied to hydrological modeling. However, the errors and bias …

In this study, a Bayesian model averaging (BMA)-based ensemble modeling system is
proposed to project future flood occurrences for the River Thames using downscaled high …