Groundwater is an essential resource for drinking water, food production, and industrial
applications worldwide. Over-exploitation and pollution pose significant risks to groundwater …

This study investigates the integration of machine learning (ML) and data assimilation (DA)
techniques, focusing on implementing surrogate models for Geological Carbon Storage …

Gravel-bed rivers are an important source of groundwater recharge in some regions of the
world. Their interactions with groundwater are complex and highly variable in space and …

Modelling of groundwater flow and transport in urban environments is complicated by
changes in recharge due to urbanization, and interactions between groundwater, water …

Groundwater modelers frequently grapple with the challenge of integrating aquifer test
interpretations into parameters used by regional models. This task is complicated by issues …

This article describes a modular ensemble-based data assimilation (DA) system, which is
developed for an integrated surface-subsurface hydrological model. The software …

The ability to make accurate predictions with quantified uncertainty provides a crucial
foundation for the successful management of a geothermal reservoir. Conventional …