Software

Github repository that contains python code workflows for generating 3-dimensional images of topography, hydrography, and other remote sensing data with Blender, an open-source visualization software.

MODFLOW is a popular open-source groundwater flow model distributed by the U.S. Geological Survey.

NLDI Flowtools is a Python package for basin delineation and flow path tracing from any point within CONUS. It can return either the full upstream drainage basin or just the portion within the local NHD catchment (i.e., splitcatchment). The flow path tracing tool follows terrain downhill until it intersects the nearest NHD stream line, returning both the traced path and the intersected...

ModelMuse is a graphical user interface (GUI) for the U.S. Geological Survey (USGS) models MODFLOW 6, MODFLOW–2005, MODFLOW-LGR, MODFLOW-LGR2, MODFLOW-NWT, MODFLOW-CFP, MODFLOW-OWHM versions 1 and 2, MODPATH, ZONEBUDGET, PHAST, SUTRA 2.2, SUTRA 3.0, SUTRA 4.0, MT3D-USGS, and WellFootprint and the non-USGS programs MT3DMS and PEST.

STACS: Software Tool for Approximating Channel Shapes Description The software application made available through this repository provides an integrated end-to-end workflow for modeling the geometry of river channel cross sections. This standalone program is called the Software Tool for Approximating Channel Shapes, or STACS for short, and provides convenient access to a flexible...

This standalone software application provides an integrated set of tools for inferring river discharge Q from remotely sensed data based on critical flow theory, a method introduced by Legleiter et al. (2025). This approach can yield accurate streamflow estimates in rivers with well-defined standing wave trains, referred to as undular hydraulic jumps (UHJ's). Once an image with clearly...

This product is a series of Jupyter Notebook tutorials that are designed to help researchers preprocess data and statistically compare modelled and observational precipitation, temperature, and radiation data. The first notebook walks researchers through setting up their environment, important concepts, querying data sources, and filtering their data to the same temporal and spatial...

DynRat was developed by the USGS to develop dynamic rating models using a method called DYNPOUND, which accommodates compound and compact channel geometry to model hysteresis. The latest release can be downloaded from the releases section in the repository. Additions, bug fixes, changes, and links to releases can be viewed in the [/dynamic-rating/dynrat/-/blob/master/userguide/docs...

This standalone software application provides a means of inferring water depth from passive optical remotely sensed data via a machine learning-based workflow: Hyperspectral Imaging of River Bathymetry using an Ensemble of Regression Trees, or HIRBERT for short. This approach could provide accurate depth estimates in clear-flowing, relatively shallow streams but is less likely to yield...

The need to assess the effects of variability in climate, biota, geology, and human activities on water availability and flow can be assessed with computer models that simulate the hydrologic cycle at a watershed scale. The Precipitation-Runoff Modeling System (PRMS) is a deterministic, distributed-parameter, physical process-based modeling system developed to evaluate the response of...

The Precipitation-Runoff Modeling System is a deterministic, distributed-parameter, physical process based modeling system developed to evaluate the response of various combinations of climate and land use on streamflow and general watershed hydrology.

This pipeline uses the data from the 2012 regional Sparrow models (see **Input datasets** below) to produce four types of outputs: 1. Maps of SPARROW-estimated total nitrogen, total phosphorus, and total suspended-sediment yields and concentrations across the conterminous United States (CONUS); 2. Bar plots showing the amount of total nitrogen, total phosphorus, and suspended sediment...