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Software

In addition to conducting innovative science investigations, the Upper Midwest Water Science Center also evaluates, expands, and creates environmental software, modeling, and statistical packages. We also provide data for software and model calibration. (Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.)

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USGS Analysis Ready Data Python Examples USGS Analysis Ready Data Python Examples

This product contains Jupyter Notebooks demonstrating how to retrieve, process, and analyze USGS analysis ready data (ARD) using Python. The purpose of these examples is to introduce novice Python users to real-life earth science data workflows. The examples include using the data retrieval package to pull NWIS data, pulling NOAA NOS CO-OPs water level data to visualize hurricane Helene...

Navy Northrop Grumman Particle Tracking version 0.1 Navy Northrop Grumman Particle Tracking version 0.1

This software release contains a generalized workflow to setup particle tracking analyses to assess groundwater travel times at the Navy-Northrop-Grumman site, in Nassau County, New York. This approach uses the posterior "texture model" inset model described by Fienen and others (2024) and made available in Corson-Dosch and others (2023) that simulates groundwater flow in the sole-source...

toxEval 4.1 toxEval 4.1

The toxEval R-package includes a set of functions to analyze, visualize, and organize measured concentration data as it relates to https://www.epa.gov/comptox-tools/toxicity-forecasting-toxcast or other user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological...

WRTDSplus: Extensions to the WRTDS method. WRTDSplus: Extensions to the WRTDS method.

For some sites and constituents the three dimensions of the Weighted Regressions on Time, Discharge, and Season (WRTDS) model do not capture all the important aspects of water quality variability. For example, in some locations hysteresis or antecedent flow conditions are important influences on water quality concentration and loads. In other places, daily flow is less predictive than...

GW-NDST software v 1.1.2 GW-NDST software v 1.1.2

This version 1.1.2 release of the Groundwater Nitrate Decision Support Tool (GW-NDST) for Wisconsin supersedes the version 1.1.1 release. This version 1.1.2 release includes updated instructions in the readme file and fixes minor bugs.

Python for Hydrology Self Study Curriculum Python for Hydrology Self Study Curriculum

This repository contains study materials for python programming for hydrologic applications and a focus on groundwater modeling with flopy. The materials are used in an in-person curriculum at the USGS and provided here for reference for the larger hydrologic community.

GW-NDST software v 1.1.0 GW-NDST software v 1.1.0

Official version 1.1.0 software release of the Groundwater-Nitrate Decision Support Tool (GW-NDST) for Wisconsin. This release (v1.1.0) is matched with and described by Juckem, P.F., Corson-Dosch, N.T., Schachter, L.A., Green, C.T., Ferin, K.M., Booth, E.G., Kucharik, C.J., Austin, B.P., and Kauffman, L.J., 2024, Design and calibration of a Nitrate Decision Support Tool for Groundwater...

NO3GWT version 1.0.0 NO3GWT version 1.0.0

A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST was reviewed and approved by the journal via this official...

EGRET EGRET

An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS).

GageStats Services GageStats Services

The Gage Statistic (GageStats) Services were developed to provide gage characteristics and streamflow statistics to support the StreamStats application via RESTful principles. The StreamStats application uses GageStats Services to display the gages and related gage pages. These services provide U.S. Geological Survey developed and published gage characteristics such as drainage area or...

dataRetrieval dataRetrieval

The U.S. Geological Survey (USGS) developed an R package called dataRetrieval to help simplify the process of discovering and retrieving water quality sample data, streamflow, groundwater, and other data available from Federal hydrologic web services such as National Water Information Systems (NWIS), the EPA Water Quality Exchange (WQX) System, and the National Hydrologic Dataset via the...

StreamStats Channel Width Weighting Services StreamStats Channel Width Weighting Services

This software release contains Python functions for weighting multiple non-independent estimates of a variable. Weighting is determined by the standard error of prediction of each estimate and the correlation between the estimation methods. The methodology for weighting estimates from either two or three different methods is described in Chase and others (2020). A function is also...
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