Seasonal forecasting of streamflows can be highly valuable for water resources
management. In this paper, a Bayesian joint probability (BJP) modeling approach for …

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 …

Subseasonal to seasonal (S2S) precipitation forecasts can fill the gap between weather and
seasonal forecasts. While raw forecasts from S2S models are informative, calibration is …

Parameter identification is one of the key elements in the construction of models in
geosciences. However, inherent difficulties such as the instability of ill-posed problems or …

The Murray–Darling Basin (MDB) in south-eastern Australia has been in the grip of a serious
drought for over a decade. Recent reductions in runoff have been unprecedented in the …

Many water resource investigations require an estimate of evaporation from water supply
reservoirs. Despite its recognised limitations, the pan coefficient method for estimating …

In the last few decades tremendous progress has been made in the use of catchment
models for the analysis and understanding of hydrologic systems. A common application …

It is now standard practice for water supply agencies to use stochastic models to generate
synthetic hydroclimate sequences that preserve the key statistics contained in the …

The primary objective of this study is to develop a stochastic rainfall generation model that
can match not only the short resolution (daily) variability but also the longer resolution …

A quantitative definition of and ability to predict the onset and duration of the dominant
rainfall season in a region are important for agricultural and natural resources management …