Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Recognizing the importance for adaptation to the climate change impact on water resources, the IAEA has developed guidelines and recommendations on the selection and application of isotope-enabled ...

The knowledge of hydrological variables (e.g. soil moisture, evapotranspiration) are of pronounced importance in various applications including flood control, agricultural production and effective ...

Rapid advances in global hydrological model (GHM) resolution, model features, and in situ and remotely sensed datasets are driving progress towards local relevance and application. Despite their ...

Flooding poses significant risks to communities in wetlands and densely urbanized regions, necessitating robust prevention ...

URBANA, Ill. - Hydrologic models that simulate and predict water flow are used to estimate how natural systems respond to different scenarios such as changes in climate, land use, and soil management.

The distributed lag model (DLM), used most prominently in air pollution studies, finds application wherever the effect of a covariate is delayed and distributed through time. We specify modified ...

The project “Hydro-Resilience: Citizen and Open Science for Climate Adaptation” was developed to pilot Citizen and Open Science applications for climate risk management and to support water management ...