Towards a fully distributed multivariable hydrological deep learning model with graph neural networks

Safely Building New Houses in the Geul Catchment: How to mitigate the impact on flooding?

Exploring Modelling Assumptions and their Impact on Extreme Discharges for the Meuse Catchment

Long-term water balance of a combined capillary barrier-methane oxidising landfill cover system

An Assessment of Predictive Models for Operational Management of a Reservoir in a Data-Scarce Basin: A Case Study of the Black Volta Basin

Water Resources Optimization using Receding Horizon Control and a Weather Generator: A Case Study of the Elqui Basin, Chile

Operational Streamflow Drought Forecasting for the Rhine River at Lobith Using the LSTM Deep Learning Approach

Assessing the applicability of Transformer-based architectures as rainfall-runoff models

Assessing the impact of climate change on streamflow in catchments across the United States, using an easily reproducible modeling approach

Evolution of the Greenland Ice Sheet under a Moderate Warming Scenario

Assessing the impact of deforestation on observed runoff and an analysis on simulated runoff by WFLOW in the Amazon

A systematic approach to characterize consecutive events in the Netherlands: From extremely dry to extremely wet

Reducing data and model errors in monthly water balance modeling based on remote sensing data

Lessons learned from hydrological models for the improvement of climate model

Assessing Global Applicability of a Long Short-Term Memory (LSTM) Neural Network for Rainfall-Runoff Modelling

White Volta Water Retention: Thesis on the Impact of Constructing Multiple Small Dams on Floods and Sedimentation in Northern Ghana

Defining the effectiveness of urban runoff measures: A model study

Regularizing GRACE mascon solutions using river run-off data

Monitoring the impact of droughts on vegetation in Australia using MetOp ASCAT Dynamic Vegetation Parameters

Mixed in place permeability reductive layer through Al and OM precipitation