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

This perspective discusses the importance of characterizing, quantifying, and accounting for
various sources of uncertainties involved in different layers of hydrometeorological and …

Precipitation patterns in the tropics are characterized by extremely high spatial and temporal
variability that are difficult to adequately represent with rain gauge networks. Since …

Water resources planning and management efficacy is subject to capturing inherent
uncertainties stemming from climatic and hydrological inputs and models. Streamflow …

Skillful and reliable forecasts of seasonal streamflows are highly valuable to water
management. In a previous study, we developed a Bayesian joint probability (BJP) modeling …

This paper introduces and presents the Spatial Processes in HYdrology (SPHY) model (v2.
0), its development background, its underlying concepts, and some example applications …

Although information about climate change and its implications is becoming increasingly
available to water utility managers, additional tools are needed to translate this information …

Western US water management is underpinned by spring-summer water supply forecasts
(WSFs) from hydrologic models forced primarily by winter mountain snowpack data. The US …

The effective prediction and estimation of hydrometeorological variables are important for
water resources planning and management. In this study, we propose a multivariate …

Hydrological ensemble forecasting plays a critical role in decision-making and water
resource management. The skill of an ensemble forecasting system is limited by input data …