Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
nlmod was built to allow users to write scripts to quickly download relevant data
from publicly available sources, and build and post-process groundwater flow and
transport models at different spatial and temporal scales to answer specific
geohydrological questions. Scripting these steps, from downloading data to building
groundwater models, makes models more reproducible and transparent.
The functions in nlmod have four main objectives:
- Create and adapt the temporal and spatial discretization of a MODFLOW model using an
xarray Dataset (
nlmod.dims). - Download and read data from external sources, project this data on the modelgrid and
add this data to an xarray Dataset (
nlmod.read). - Use data in an xarray Dataset to build modflow packages for both groundwater flow
and transport models using FloPy (
nlmod.sim,nlmod.gwfandnlmod.gwtfor Modflow 6 andnlmod.modpathfor Modpath). - Visualise modeldata in Python (
nlmod.plot) or GIS software (nlmod.gis).
More information can be found on the documentation-website: https://nlmod.readthedocs.io/.
