There is now a large published literature on the strengths and weaknesses of downscaling
methods for different climatic variables, in different regions and seasons. However, little …

While reliable drought prediction is fundamental for drought mitigation and water resources
management, it is still a challenge to develop robust drought prediction models due to …

Nowadays, mathematical models are widely used to predict climate processes, but little has
been done to compare the models. In this study, multiple linear regression (MLR), multi-layer …

Thirteen regional climate model (RCM) integrations from the Prediction of Regional
Scenarios and Uncertainties for Defining European Climate change risks and Effects …

Streamflow forecasting is critical to water resources management in the western United
States. Yet, despite the passage of almost 50 years since the development of the first …

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

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 …

Ensemble prediction systems are used operationally to make probabilistic streamflow
forecasts for seasonal time scales. However, hydrological models used for ensemble …

Understanding streamflow patterns by incorporating climate signal information can
contribute remarkably to the knowledge of future local environmental flows. Three machine …

Selecting appropriate input variables for developing a rainfall prediction model is
significantly difficult. The present study proposed an innovative framework for input variable …