Drought is a complex natural hazard that impacts ecosystems and society in many ways.
Many of these impacts are associated with hydrological drought (drought in rivers, lakes …

Abstract The Prediction in Ungauged Basins (PUB) initiative of the International Association
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …

High-quality datasets are essential to support hydrological science and modeling. Several
CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets exist …

Discharge of pollution loads into natural water systems remains a global challenge that
threatens water and food supply, as well as endangering ecosystem services. Natural …

This review and commentary sets out the need for authoritative and concise information on
the expected error distributions and magnitudes in observational data. We discuss the …

Data assimilation (DA) holds considerable potential for improving hydrologic predictions as
demonstrated in numerous research studies. However, advances in hydrologic DA research …

This paper investigates the actual extrapolation capacity of three hydrological models in
differing climate conditions. We propose a general testing framework, in which we perform …

This paper reviews the use of the Generalized Likelihood Uncertainty Estimation (GLUE)
methodology in the 20 years since the paper by Beven and Binley in Hydrological …

Hydrologic data are at the core of our understanding of physical hydrologic processes, our
simulation models and forecasts of water resources and hazards, and our monitoring of …

In this study, a new hybrid model integrated adaptive neuro fuzzy inference system with
Firefly Optimization algorithm (ANFIS-FFA), is proposed for forecasting monthly rainfall with …