- Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach
- Sub-seasonal soil moisture anomaly forecasting using combinations of deep learning, based on the reanalysis soil moisture records
- Three-Dimensional Clustering in the Characterization of Spatiotemporal Drought Dynamics: Cluster Size Filter and Drought Indicator Threshold Optimization
- Investigating the Response of Vegetation to Flash Droughts by Using Cross-Spectral Analysis and an Evapotranspiration-Based Drought Index
- Waterschaarste: Hoe de beleidsontwikkelingen aangevuld kunnen worden om aan te sluiten op de veranderingen die optreden tot en met 2050
- Designing dynamic water storage systems to mitigate drought stress in urban environments: Investigating methods to design a digital representation of the Bajeskwartier water system
- Climate-induced conflict? The role of meteorological drought indicators for communal conflict prediction in North-Western Kenya
- Operational Streamflow Drought Forecasting for the Rhine River at Lobith Using the LSTM Deep Learning Approach
- Building a productive, future proof landscape: A spatial framework for a future proof water system of the Dommel watershed that provides local, natural building materials for the future building program.
- Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment