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Randall J Hunt, Ph.D. (Former Employee)

Science and Products

USGS science for a changing world logo

Hunting Invasive Species with HTCondor: High Throughput Computing for Big Data and Next Generation Sequencing

Large amounts of data are being generated that require hours, days, or even weeks to analyze using traditional computing resources. Innovative solutions must be implemented to analyze the data in a reasonable timeframe. The program HTCondor (https://research.cs.wisc.edu/htcondor/) takes advantage of the processing capacity of individual desktop computers and dedicated computing resources...
By
Community for Data Integration (CDI)
Hunting Invasive Species with HTCondor: High Throughput Computing for Big Data and Next Generation Sequencing

Hunting Invasive Species with HTCondor: High Throughput Computing for Big Data and Next Generation Sequencing

Large amounts of data are being generated that require hours, days, or even weeks to analyze using traditional computing resources. Innovative solutions must be implemented to analyze the data in a reasonable timeframe. The program HTCondor (https://research.cs.wisc.edu/htcondor/) takes advantage of the processing capacity of individual desktop computers and dedicated computing resources as a
Learn More

Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks

A series of Jupyter notebooks documenting a self-guided, interactive curriculum for the PEST++ family of software codes for uncertainty analysis, parameter estimation, and management optimization. For a currently maintained version of these materials, please visit https://github.com/gmdsi/GMDSI_notebooks.
By
Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Airborne electromagnetic and magnetic survey data, northeast Wisconsin (ver. 1.1, June 2022) Airborne electromagnetic and magnetic survey data, northeast Wisconsin (ver. 1.1, June 2022)

Airborne electromagnetic (AEM) and magnetic survey data were collected during January and February 2021 over a distance of 3,170 line kilometers in northeast Wisconsin. These data were collected in support of an effort to improve estimates of depth to bedrock through a collaborative project between the U.S. Geological Survey (USGS), Wisconsin Department of Agriculture, Trade, and...
By
Geology, Geophysics, and Geochemistry Science Center

PEST++ Version 5.0 source code, pre-compiled binaries and example problem PEST++ Version 5.0 source code, pre-compiled binaries and example problem

PEST++ Version 5 software release. This release includes ASCII format C++11 source code, precompiled binaries for windows 10 and linux, and inputs files the example problem shown in the report
By
Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center
Filter Total Items: 150

Can hydrological models benefit from using global soil moisture, evapotranspiration, and runoff products as calibration targets? Can hydrological models benefit from using global soil moisture, evapotranspiration, and runoff products as calibration targets?

Hydrological models are usually calibrated to in-situ streamflow observations with reasonably long and uninterrupted records. This is challenging for poorly gage or ungaged basins where such information is not available. Even for gaged basins, the single-objective calibration to gaged streamflow cannot guarantee reliable forecasts because, as has been documented elsewhere, the inverse...
Authors
Yiwen Mei, Juliane Mai, Hong Xuan Do, Andrew Gronewold, Howard W. Reeves, Sandra M. Eberts, Richard G. Niswonger, R. Steve Regan, Randall J. Hunt
By
Water Resources Mission Area, Nevada Water Science Center, Upper Midwest Water Science Center

Hydrologic change in the St. Louis River Basin from iron mining on the Mesabi Iron Range, northeastern Minnesota Hydrologic change in the St. Louis River Basin from iron mining on the Mesabi Iron Range, northeastern Minnesota

This study compares the results of two regional steady-state U.S. Geological Survey Modular Three-Dimensional Finite-Difference Ground-Water Flow (MODFLOW) models constructed to quantify the hydrologic changes in the St. Louis River Basin from iron mining on the Mesabi Iron Range in northeastern Minnesota. The U.S. Geological Survey collaborated in this study with bands of the Minnesota...
Authors
Timothy K. Cowdery, Anna C. Baker, Megan J. Haserodt, Daniel T. Feinstein, Randall J. Hunt
By
Upper Midwest Water Science Center

Simulation of heat flow in a synthetic watershed: Lags and dampening across multiple pathways under a climate-forcing scenario Simulation of heat flow in a synthetic watershed: Lags and dampening across multiple pathways under a climate-forcing scenario

Although there is widespread agreement that future climates tend toward warming, the response of aquatic ecosystems to that warming is not well understood. This work, a continuation of companion research, explores the role of distinct watershed pathways in lagging and dampening climate-change signals. It subjects a synthetic flow and transport model to a 30-year warming signal based on...
Authors
Daniel T. Feinstein, Randall J. Hunt, Eric D. Morway
By
Water Resources Mission Area, Ecosystems Land Change Science Program, Nevada Water Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Comparison of radium analytical methods for municipal drinking water well operation Comparison of radium analytical methods for municipal drinking water well operation

Radium (Ra) is a geogenic contaminant that occurs at high levels in the Midwestern Cambrian-Ordovician aquifer system (MCOAS), a regionally important sandstone and carbonate drinking water aquifer. Water utilities using the MCOAS often must adopt treatment methods or use alternative water sources to maintain high-quality drinking water. Here, we show that Ra in water obtained from a...
Authors
Madeleine J Mathews, Sean R Scott, Randall J. Hunt, Matthew Ginder-Vogel
By
Water Resources Mission Area, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Isotopic analysis of radium geochemistry at discrete intervals in the Midwestern Cambrian-Ordovician aquifer system Isotopic analysis of radium geochemistry at discrete intervals in the Midwestern Cambrian-Ordovician aquifer system

Radium (Ra) is a geogenic radioactive contaminant that frequently occurs at elevated levels in the Midwestern Cambrian-Ordovician aquifer system (MCOAS). Geochemical indicators (e.g., redox conditions or total dissolved solids) can broadly characterize conditions associated with elevated Ra levels in groundwater, but do not consistently correlate to elevated Ra within specific...
Authors
Madeleine J Mathews, Sean R Scott, Madeline B Gotkowitz, Randall J. Hunt, Matthew Ginder-Vogel
By
Upper Midwest Water Science Center

Scientific results of the Hydrate-01 Stratigraphic Test Well Program, Western Prudhoe Bay Unit, Alaska North Slope Scientific results of the Hydrate-01 Stratigraphic Test Well Program, Western Prudhoe Bay Unit, Alaska North Slope

The United States Department of Energy, the MH21-S Research Consortium of Japan, and the United States Geological Survey are collaborating to enable gas hydrate scientific drilling and extended-duration reservoir response testing on the Alaska North Slope. To feasibly execute such a test, a location is required that is accessible from existing roads and gravel pads and that can be...
Authors
Roy Boswell, Timothy S. Collett, Koji Yamamoto, Norihiro Okinaka, Robert Hunter, Kiyofumi Suzuki, Machiko Tamaki, Jun Yoneda, David Itter, Seth S. Haines, Evgeniy Myshakin, George Moridis
By
Energy Resources Program, Central Energy Resources Science Center

Non-USGS Publications**

Abrams, D.B., Haitjema, H.M., Feinstein, D.T. and Hunt, R.J., 2015, Field test of a Hybrid Finite-Difference and Analytic Element regional model. Groundwater. doi: 10.1111/gwat.12319.

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

Science and Products

USGS science for a changing world logo

Hunting Invasive Species with HTCondor: High Throughput Computing for Big Data and Next Generation Sequencing

Large amounts of data are being generated that require hours, days, or even weeks to analyze using traditional computing resources. Innovative solutions must be implemented to analyze the data in a reasonable timeframe. The program HTCondor (https://research.cs.wisc.edu/htcondor/) takes advantage of the processing capacity of individual desktop computers and dedicated computing resources...
By
Community for Data Integration (CDI)
Hunting Invasive Species with HTCondor: High Throughput Computing for Big Data and Next Generation Sequencing

Hunting Invasive Species with HTCondor: High Throughput Computing for Big Data and Next Generation Sequencing

Large amounts of data are being generated that require hours, days, or even weeks to analyze using traditional computing resources. Innovative solutions must be implemented to analyze the data in a reasonable timeframe. The program HTCondor (https://research.cs.wisc.edu/htcondor/) takes advantage of the processing capacity of individual desktop computers and dedicated computing resources as a
Learn More

Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks

A series of Jupyter notebooks documenting a self-guided, interactive curriculum for the PEST++ family of software codes for uncertainty analysis, parameter estimation, and management optimization. For a currently maintained version of these materials, please visit https://github.com/gmdsi/GMDSI_notebooks.
By
Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Airborne electromagnetic and magnetic survey data, northeast Wisconsin (ver. 1.1, June 2022) Airborne electromagnetic and magnetic survey data, northeast Wisconsin (ver. 1.1, June 2022)

Airborne electromagnetic (AEM) and magnetic survey data were collected during January and February 2021 over a distance of 3,170 line kilometers in northeast Wisconsin. These data were collected in support of an effort to improve estimates of depth to bedrock through a collaborative project between the U.S. Geological Survey (USGS), Wisconsin Department of Agriculture, Trade, and...
By
Geology, Geophysics, and Geochemistry Science Center

PEST++ Version 5.0 source code, pre-compiled binaries and example problem PEST++ Version 5.0 source code, pre-compiled binaries and example problem

PEST++ Version 5 software release. This release includes ASCII format C++11 source code, precompiled binaries for windows 10 and linux, and inputs files the example problem shown in the report
By
Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center
Filter Total Items: 150

Can hydrological models benefit from using global soil moisture, evapotranspiration, and runoff products as calibration targets? Can hydrological models benefit from using global soil moisture, evapotranspiration, and runoff products as calibration targets?

Hydrological models are usually calibrated to in-situ streamflow observations with reasonably long and uninterrupted records. This is challenging for poorly gage or ungaged basins where such information is not available. Even for gaged basins, the single-objective calibration to gaged streamflow cannot guarantee reliable forecasts because, as has been documented elsewhere, the inverse...
Authors
Yiwen Mei, Juliane Mai, Hong Xuan Do, Andrew Gronewold, Howard W. Reeves, Sandra M. Eberts, Richard G. Niswonger, R. Steve Regan, Randall J. Hunt
By
Water Resources Mission Area, Nevada Water Science Center, Upper Midwest Water Science Center

Hydrologic change in the St. Louis River Basin from iron mining on the Mesabi Iron Range, northeastern Minnesota Hydrologic change in the St. Louis River Basin from iron mining on the Mesabi Iron Range, northeastern Minnesota

This study compares the results of two regional steady-state U.S. Geological Survey Modular Three-Dimensional Finite-Difference Ground-Water Flow (MODFLOW) models constructed to quantify the hydrologic changes in the St. Louis River Basin from iron mining on the Mesabi Iron Range in northeastern Minnesota. The U.S. Geological Survey collaborated in this study with bands of the Minnesota...
Authors
Timothy K. Cowdery, Anna C. Baker, Megan J. Haserodt, Daniel T. Feinstein, Randall J. Hunt
By
Upper Midwest Water Science Center

Simulation of heat flow in a synthetic watershed: Lags and dampening across multiple pathways under a climate-forcing scenario Simulation of heat flow in a synthetic watershed: Lags and dampening across multiple pathways under a climate-forcing scenario

Although there is widespread agreement that future climates tend toward warming, the response of aquatic ecosystems to that warming is not well understood. This work, a continuation of companion research, explores the role of distinct watershed pathways in lagging and dampening climate-change signals. It subjects a synthetic flow and transport model to a 30-year warming signal based on...
Authors
Daniel T. Feinstein, Randall J. Hunt, Eric D. Morway
By
Water Resources Mission Area, Ecosystems Land Change Science Program, Nevada Water Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Comparison of radium analytical methods for municipal drinking water well operation Comparison of radium analytical methods for municipal drinking water well operation

Radium (Ra) is a geogenic contaminant that occurs at high levels in the Midwestern Cambrian-Ordovician aquifer system (MCOAS), a regionally important sandstone and carbonate drinking water aquifer. Water utilities using the MCOAS often must adopt treatment methods or use alternative water sources to maintain high-quality drinking water. Here, we show that Ra in water obtained from a...
Authors
Madeleine J Mathews, Sean R Scott, Randall J. Hunt, Matthew Ginder-Vogel
By
Water Resources Mission Area, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Isotopic analysis of radium geochemistry at discrete intervals in the Midwestern Cambrian-Ordovician aquifer system Isotopic analysis of radium geochemistry at discrete intervals in the Midwestern Cambrian-Ordovician aquifer system

Radium (Ra) is a geogenic radioactive contaminant that frequently occurs at elevated levels in the Midwestern Cambrian-Ordovician aquifer system (MCOAS). Geochemical indicators (e.g., redox conditions or total dissolved solids) can broadly characterize conditions associated with elevated Ra levels in groundwater, but do not consistently correlate to elevated Ra within specific...
Authors
Madeleine J Mathews, Sean R Scott, Madeline B Gotkowitz, Randall J. Hunt, Matthew Ginder-Vogel
By
Upper Midwest Water Science Center

Scientific results of the Hydrate-01 Stratigraphic Test Well Program, Western Prudhoe Bay Unit, Alaska North Slope Scientific results of the Hydrate-01 Stratigraphic Test Well Program, Western Prudhoe Bay Unit, Alaska North Slope

The United States Department of Energy, the MH21-S Research Consortium of Japan, and the United States Geological Survey are collaborating to enable gas hydrate scientific drilling and extended-duration reservoir response testing on the Alaska North Slope. To feasibly execute such a test, a location is required that is accessible from existing roads and gravel pads and that can be...
Authors
Roy Boswell, Timothy S. Collett, Koji Yamamoto, Norihiro Okinaka, Robert Hunter, Kiyofumi Suzuki, Machiko Tamaki, Jun Yoneda, David Itter, Seth S. Haines, Evgeniy Myshakin, George Moridis
By
Energy Resources Program, Central Energy Resources Science Center

Non-USGS Publications**

Abrams, D.B., Haitjema, H.M., Feinstein, D.T. and Hunt, R.J., 2015, Field test of a Hybrid Finite-Difference and Analytic Element regional model. Groundwater. doi: 10.1111/gwat.12319.

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government

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