Predictive performance is one of the most important issues for practical applications of
ensemble hydroclimatic forecasts. While different forecasting studies tend to use different …

Accurate forecasting in hydrologic modeling is crucial for sustainable water resource
management across various sectors, where predicting extreme flow phases holds particular …

Modeling framework for simulation at a finer scale is important for long-term water resources
planning for management. It has always been a challenge to select the appropriate model to …

For much of the last century, forecasting centers around the world have offered seasonal
streamflow predictions to support water management. Recent work suggests that the two …

Hydrologic models are an approximation of reality, and thus, are not able to perfectly
simulate observed streamflow because of various sources of uncertainty. On the other hand …

The frequent occurrence of floods during the rainy season is one of the threats in rainfed
river basins, especially in river basins of India. This study implemented a Bayesian …

Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are bacterial cell membrane lipids
that, when preserved in sedimentary archives, can be used to infer continental …

This paper introduces for the first time the concept of Bayesian model averaging (BMA) with
multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model …

Understanding and characterizing the spatial distribution of snow are critical to represent the
energy balance and runoff production in mountain environments. In this study, we …

As large, high‐severity forest fires increase and snowpacks become more vulnerable to
climate change across the western USA, it is important to understand post‐fire disturbance …