Posts tagged groundwater flow
GOLEM
- 12 February 2026
GOLEM is a modelling platform for thermal-hydraulic-mechanical and non-reactive chemical processes in fractured and faulted porous media. GOLEM makes use of the flexible, object-oriented numerical framework MOOSE (developed at the Idaho National Laboratories), which provides a high-level interface to state of the art nonlinear solver technology. In GOLEM, the governing equations of groundwater flow, heat and mass transport, and rock deformation are solved in a weak sense (by classical Newton–Raphson or by free Jacobian inexact Newton-Krylow schemes) on an underlying unstructured mesh. Non-linear feedback among the active processes are enforced by considering evolving fluid and rock properties depending on the thermo-hydro-mechanical state of the system and the local structure, i.e. degree of connectivity, of the fracture system. GOLEM has been one-way coupled to the distributed mesoscale hydrological modelling (mHM) in order to be able to simulate groundwater variability and its resilience in the region of Brandenburg under the ongoing climate change projections (the latter derived from ensemble of GCMs predictions downscale to the region of Brandenburg via a stochastic weather generator)
ParFlow - Parallel Watershed Flow Model
- 12 December 2024
ParFlow is a parallel, integrated hydrology model that simulates spatially distributed surface and subsurface flow, as well as land surface processes including evapotranspiration and snow. It solves saturated and variably saturated flow in three dimensions using either an orthogonal or terrain-following, semi-structured mesh that enables fine vertical resolution near the land surface and deep (~1 km) confined and unconfined aquifers. ParFlow models dynamic surface and subsurface flow solving the simplified shallow water equations implicitly coupled to Richards’ equation; this allows for dynamic two-way groundwater surface water interactions and intermittency in streamflow. The model uses robust linear and nonlinear solution techniques and exhibits efficient parallel scaling to large processor counts, more than 100K cores, enabling very large extent simulations with fine spatial resolution. ParFlow has been coupled to various land surface and atmospheric models such as CLM, WRF, and TerrSysMP.