Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach

Three-Dimensional Clustering in the Characterization of Spatiotemporal Drought Dynamics: Cluster Size Filter and Drought Indicator Threshold Optimization

Decision Support Framework for Optimal Reservoir Operation to Mitigate Cyanobacterial Blooms in Rivers

Integrating the flow regime and water quality effects into a niche-based metacommunity dynamics model for river ecosystems

Model-Based Assessment of Preventive Drought Management Measures’ Effect on Droughts Severity

Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review

Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems

Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin

Global and low-cost topographic data to support flood studies

Locating Multiple Leaks in Water Distribution Networks Combining Physically Based and Data-Driven Models and High-Performance Computing

Water Quality Modelling for Nitrate Nitrogen Control Using HEC-RAS: Case Study of Nakdong River in South Korea

Near-real-time satellite precipitation data ingestion into peak runoff forecasting models

A Classification-Based Machine Learning Approach to the Prediction of Cyanobacterial Blooms in Chilgok Weir, South Korea

Coevolution of machine learning and process-based modelling to revolutionize Earth and environmental sciences: A perspective

Spatio‐temporal hydrological model structure and parametrization analysis

Impact of dataset size on the signature-based calibration of a hydrological model

How well can machine learning models perform without hydrologists?: Application of rational feature selection to improve hydrological forecasting

Development and evaluation of flood forecasting models for forecast-based financing using a novel model suitability matrix

An approach to characterise spatio-temporal drought dynamics

Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning