Randall J Hunt, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 150
Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013 Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013
The economic vitality and quality of life of many northern Wisconsin communities is closely associated with the ecological condition of the abundant water resources in the region. Climate change models predict warmer temperatures, changes to precipitation patterns, and increased evapotranspiration in the Great Lakes region. Recently (1950-2006), many regions of Wisconsin have experienced
Authors
Michael W. Meyer, John F. Walker, Kevin P. Kenow, Paul W. Rasmussen, Paul J. Garrison, Paul C. Hanson, Randall J. Hunt
Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization
The TSPROC (Time Series PROCessor) computer software uses a simple scripting language to process and analyze time series. It was developed primarily to assist in the calibration of environmental models. The software is designed to perform calculations on time-series data commonly associated with surface-water models, including calculation of flow volumes, transformation by means of basic
Authors
Stephen M. Westenbroek, John Doherty, John F. Walker, Victor A. Kelson, Randall J. Hunt, Timothy B. Cera
Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks
Models of environmental systems have become increasingly complex, incorporating increasingly large numbers of parameters in an effort to represent physical processes on a scale approaching that at which they occur in nature. Consequently, the inverse problem of parameter estimation (specifically, model calibration) and subsequent uncertainty analysis have become increasingly computation...
Authors
Marinko Karanovic, Christopher T. Muffels, Matthew J. Tonkin, Randall J. Hunt
Updating the debate on model complexity Updating the debate on model complexity
As scientists who are trying to understand a complex natural world that cannot be fully characterized in the field, how can we best inform the society in which we live? This founding context was addressed in a special session, “Complexity in Modeling: How Much is Too Much?” convened at the 2011 Geological Society of America Annual Meeting. The session had a variety of thought-provoking
Authors
Craig T. Simmons, Randall J. Hunt
Uncertainty Uncertainty
Management decisions will often be directly informed by model predictions. However, we now know there can be no expectation of a single ‘true’ model; thus, model results are uncertain. Understandable reporting of underlying uncertainty provides necessary context to decision-makers, as model results are used for management decisions. This, in turn, forms a mechanism by which groundwater...
Authors
Randall J. Hunt
Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models
An object-oriented parameter estimation code was developed to incorporate benefits of object-oriented programming techniques for solving large parameter estimation modeling problems. The code is written in C++ and is a formulation and expansion of the algorithms included in PEST, a widely used parameter estimation code written in Fortran. The new code is called PEST++ and is designed to...
Authors
David E. Welter, John E. Doherty, Randall J. Hunt, Christopher T. Muffels, Matthew J. Tonkin, Willem A. Schreuder
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
Filter Total Items: 150
Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013 Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013
The economic vitality and quality of life of many northern Wisconsin communities is closely associated with the ecological condition of the abundant water resources in the region. Climate change models predict warmer temperatures, changes to precipitation patterns, and increased evapotranspiration in the Great Lakes region. Recently (1950-2006), many regions of Wisconsin have experienced
Authors
Michael W. Meyer, John F. Walker, Kevin P. Kenow, Paul W. Rasmussen, Paul J. Garrison, Paul C. Hanson, Randall J. Hunt
Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization
The TSPROC (Time Series PROCessor) computer software uses a simple scripting language to process and analyze time series. It was developed primarily to assist in the calibration of environmental models. The software is designed to perform calculations on time-series data commonly associated with surface-water models, including calculation of flow volumes, transformation by means of basic
Authors
Stephen M. Westenbroek, John Doherty, John F. Walker, Victor A. Kelson, Randall J. Hunt, Timothy B. Cera
Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks
Models of environmental systems have become increasingly complex, incorporating increasingly large numbers of parameters in an effort to represent physical processes on a scale approaching that at which they occur in nature. Consequently, the inverse problem of parameter estimation (specifically, model calibration) and subsequent uncertainty analysis have become increasingly computation...
Authors
Marinko Karanovic, Christopher T. Muffels, Matthew J. Tonkin, Randall J. Hunt
Updating the debate on model complexity Updating the debate on model complexity
As scientists who are trying to understand a complex natural world that cannot be fully characterized in the field, how can we best inform the society in which we live? This founding context was addressed in a special session, “Complexity in Modeling: How Much is Too Much?” convened at the 2011 Geological Society of America Annual Meeting. The session had a variety of thought-provoking
Authors
Craig T. Simmons, Randall J. Hunt
Uncertainty Uncertainty
Management decisions will often be directly informed by model predictions. However, we now know there can be no expectation of a single ‘true’ model; thus, model results are uncertain. Understandable reporting of underlying uncertainty provides necessary context to decision-makers, as model results are used for management decisions. This, in turn, forms a mechanism by which groundwater...
Authors
Randall J. Hunt
Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models
An object-oriented parameter estimation code was developed to incorporate benefits of object-oriented programming techniques for solving large parameter estimation modeling problems. The code is written in C++ and is a formulation and expansion of the algorithms included in PEST, a widely used parameter estimation code written in Fortran. The new code is called PEST++ and is designed to...
Authors
David E. Welter, John E. Doherty, Randall J. Hunt, Christopher T. Muffels, Matthew J. Tonkin, Willem A. Schreuder
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