usgs-map-gwmodels

USGS-MAP-gwmodels provides a single code base for preprocessing input data to the USGS Mississippi Alluvial Plain (MAP) project groundwater models. Input data are derived from other components within the MAP project and from external sources such as the National Water Information System (NWIS). Preprocessed data are output in clean formats that are independent of a particular model grid, allowing the model discretization to be easily changed without rerunning the preprocessing. By having a single code base that is well tested and documented, we avoid the many of the potential errors and confusion that are inherent in ad-hoc scripting. A single code base also facilitates reproducability in the modeling workflow,...

modflow-obs

Scripts assisting in creation of MODFLOW observation files such as creation of head observations from time series, including in-tandem processing of observation data and MODFLOW output creation of instruction files.

SFRmaker

SFRmaker translates hydrography data into input for the MODFLOW-2005 (Harbaugh, 2005) or MODFLOW-6 (Langevin, 2017) SFR package, using the open-source python geospatial stack. NHDPlus data (McKay and others, 2012) can be read directly, or any hydrography with routing information (in an attribute field) can be used. In general, SFRmaker is designed for the basic use case of a structured model grid and rectangular stream channel, where stage is estimated as part of the SFR package solution (ICALC=1 in MODFLOW-2005 parlance, or the input available in MODFLOW-6). Other options, such as specifying stream depth, unsaturated flow parameters and lake connections, can be accomplished by editing reach_data and segment_data...

modflow-setup

Modflow-setup is intended to facilitate automated setup of MODFLOW models, from source data including shapefiles, rasters, and other MODFLOW models that are geo-located. Input data and model construction options are summarized in a single configuration file. Source data are read from their native formats and mapped to a regular finite difference grid specified in the configuration file. An external array-based [flopy](https://github.com/modflowpy/flopy) model instance with the desired packages is created from the sampled source data and default settings. MODFLOW input can then be written from the flopy model instance.