Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …

Global hydrology has come a long way since the first introduction of the primitive land
surface model of Manabe (1969) and the declaration of the “Emergence of Global …

We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to
previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

The machine learning algorithm 'random forest'has been applied in many areas of water
resources research including discharge simulation. Due to low setup and operation cost …

Meteorological centres make sustained efforts to provide seasonal forecasts that are
increasingly skilful, which has the potential to benefit streamflow forecasting. Seasonal …

Small and medium-sized reservoirs play an important role in water systems that need to
cope with climate variability and various other man-made and natural challenges. Although …

Lakes and reservoirs affect the timing and magnitude of streamflow, and are therefore
essential hydrological model components, especially in the context of global flood …

Skilful hydrological forecasts at sub-seasonal to seasonal lead times would be extremely
beneficial for decision-making in water resources management, hydropower operations, and …

The development of advanced computational models for improving the accuracy of
streamflow forecasting could save time and cost for sustainable water resource …