Although deep learning applicability in various fields of earth sciences is rapidly increasing,
shallow multilayer-perceptron neural networks remain widely used for regression problems …

Water temperature is one of the most important indicators of aquatic system, and accurate
forecasting of water temperature is crucial for rivers. It is a complex process to accurately …

Precise estimation of water temperature plays a key role in environmental impact
assessment, aquatic ecosystems' management and water resources planning and …

The impact of climate change on the oxygen saturation content of the world's surface waters
is a significant topic for future water quality in a warming environment. While increasing river …

Stream water temperature (T s) is a variable of critical importance for aquatic ecosystem
health. T s is strongly affected by groundwater-surface water interactions which can be …

Water temperature in rivers is a crucial environmental factor with the ability to alter hydro-
ecological as well as socio-economic conditions within a catchment. The development of …

Accurate water temperature forecasting is essential for understanding thermal regimes of
rivers in the context of climate change and anthropogenic disturbances, such as dam …

The thermal suitability of riverine habitats for cold water adapted species may be reduced
under climate change. Riparian tree planting is a practical climate change mitigation …

River water temperature is a key control of many physical and bio-chemical processes in
river systems, which theoretically depends on multiple factors. Here, four different machine …

Daily land surface temperature (LST) forecasting is of great significance for application in
climate-related, agricultural, eco-environmental, or industrial studies. Hybrid data-driven …