Concept: Hydrological modelling
The Potential of EO Data for Enhanced Flood Monitoring and Forecasting: A Consortium Assessment
Satellite data can improve flood predictions in regions with limited ground monitoring networks
Forestation and Hydrology: Lessons Learned from China
How massive tree-planting programs reshape water cycles and ecosystem services
An integrated sensitivity-optimisation framework for calibrating hydrodynamic and water-quality models in water systems: Application to the Nile River
Optimizing river models to predict water quality and flow in Egypt's Nile
DeepDiscover: towards autonomous discovery of bucket-type conceptual models – a proof of concept applied to hydrology
Automatic discovery of rainfall-runoff models without expert-defined equations
Dataset on Continuous Sewer Hydraulic and Pollutant Concentration Observations from 2008 to 2011 Including Precipitation Data, Laboratory Analysis and a Hydrodynamic Model
Four years of detailed measurements tracking water flow and pollution in an Austrian sewer system
Sensitivity of hydrological machine learning prediction accuracy to information quantity and quality
How data volume and quality affect machine learning predictions for water and nutrient flow
Human water management alters streamflow in key U.S. regions
Mapping human water management impacts on U.S. streamflow patterns
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