Global land water underpins livelihoods, socioeconomic development, and ecosystems. It
remains unclear how water availability has changed in recent decades. Using an ensemble …

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

Modeling and forecasting are impressive and active research areas, which have been
widely used in diverse theoretical and practical applications, successfully. Accuracy is the …

Solar radiation (SR) is considered as a critical factor in determining energy management. In
this research, the potential of the Bayesian averaging model (BMA) was investigated for …

Temperature logs are an important tool in the geothermal industry. Temperature
measurements from boreholes are used for exploration, system design, and monitoring. The …

Building cyberinfrastructure for the reuse and reproducibility of large-scale hydrologic
modeling studies requires overcoming a number of data management and software …

Groundwater management practices, such as sustainable drinking water extraction or
contamination protection, can have significant socioeconomic impacts. A complete …

Recurrent neural networks (RNNs) are a class of artificial neural networks capable of
learning complicated nonlinear relationships and functions from a set of data. Catchment …

Streamflow forecasts are traditionally effective in mitigating water scarcity and flood defense.
This study developed an artificial intelligence (AI)-based management methodology that …

Accurate estimates of groundwater modeling in arid regions have a crucial role in reaching a
sustainable management of groundwater sources. However, groundwater modeling has …