Jeremy White
Dr. Jeremy White is a Supervisory Hydrologic Technician at the Virginia and West Virginia Water Science Center.
He completed his B.S. in computer science at West Texas A&M, and M.S. and Ph.D. in geology at the University of South Florida. Dr. White has extensive experience with parameter estimation and uncertainty quantification in environmental and geophysical models, as well as simulation of surface water and groundwater interactions and density-dependent groundwater flow. Dr. White also has experience using high-performance computing systems to solve massively and embarrassingly parallel problems.
Science and Products
Filter Total Items: 50
The importance of parameterization when simulating the hydrologic response of vegetative land-cover change The importance of parameterization when simulating the hydrologic response of vegetative land-cover change
Computer models of hydrologic systems are frequently used to investigate the hydrologic response of land-cover change. If the modeling results are used to inform resource-management decisions, then providing robust estimates of uncertainty in the simulated response is an important consideration. Here we examine the importance of parameterization, a necessarily subjective process, on...
Authors
Jeremy T. White, Victoria G. Stengel, Samuel H. Rendon, John Banta
Forecast first: An argument for groundwater modeling in reverse Forecast first: An argument for groundwater modeling in reverse
Numerical groundwater models are important compo-nents of groundwater analyses that are used for makingcritical decisions related to the management of ground-water resources. In this support role, models are oftenconstructed to serve a specific purpose that is to provideinsights, through simulation, related to a specific func-tion of a complex aquifer system that cannot be observeddirectly...
Authors
Jeremy T. White
A python framework for environmental model uncertainty analysis A python framework for environmental model uncertainty analysis
We have developed pyEMU, a python framework for Environmental Modeling Uncertainty analyses, open-source tool that is non-intrusive, easy-to-use, computationally efficient, and scalable to highly-parameterized inverse problems. The framework implements several types of linear (first-order, second-moment (FOSM)) and non-linear uncertainty analyses. The FOSM-based analyses can also be...
Authors
Jeremy T. White, Michael N. Fienen, John E. Doherty
Scripting MODFLOW model development using Python and FloPy Scripting MODFLOW model development using Python and FloPy
Graphical user interfaces (GUIs) are commonly used to construct and postprocess numerical groundwater flow and transport models. Scripting model development with the programming language Python is presented here as an alternative approach. One advantage of Python is that there are many packages available to facilitate the model development process, including packages for plotting, array
Authors
Mark Bakker, Vincent E. A. Post, Christian D. Langevin, Joseph D. Hughes, Jeremy T. White, Jeffrey Starn, Michael N. Fienen
Potential effects of alterations to the hydrologic system on the distribution of salinity in the Biscayne aquifer in Broward County, Florida Potential effects of alterations to the hydrologic system on the distribution of salinity in the Biscayne aquifer in Broward County, Florida
To address concerns about the effects of water-resource management practices and rising sea level on saltwater intrusion, the U.S. Geological Survey in cooperation with the Broward County Environmental Planning and Community Resilience Division, initiated a study to examine causes of saltwater intrusion and predict the effects of future alterations to the hydrologic system on salinity...
Authors
Joseph D. Hughes, Dorothy F. Sifuentes, Jeremy T. White
New insights into the Edwards Aquifer—Brackish-water simulation, drought, and the role of uncertainty analysis New insights into the Edwards Aquifer—Brackish-water simulation, drought, and the role of uncertainty analysis
The Edwards aquifer is an important water resource in south-central Texas, providing water for residents, businesses, and ecosystems. The aquifer is a highly complex karst system characterized by areas of rapid groundwater flow, faulted and fractured Cretaceous-age rocks, and multiple water-quality zones. Karst aquifer systems include soluble rocks such as limestone and dolomite that can...
Authors
Linzy K. Foster, Jeremy T. White
Non-USGS Publications**
White, J.T., Fienen, M.N, and Doherty,J.E. 2016. A python framework for environmental model uncertainty analysis, Environmental Modelling & Software, Volume 85, Pages 217-228, ISSN 1364-8152
**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: 50
The importance of parameterization when simulating the hydrologic response of vegetative land-cover change The importance of parameterization when simulating the hydrologic response of vegetative land-cover change
Computer models of hydrologic systems are frequently used to investigate the hydrologic response of land-cover change. If the modeling results are used to inform resource-management decisions, then providing robust estimates of uncertainty in the simulated response is an important consideration. Here we examine the importance of parameterization, a necessarily subjective process, on...
Authors
Jeremy T. White, Victoria G. Stengel, Samuel H. Rendon, John Banta
Forecast first: An argument for groundwater modeling in reverse Forecast first: An argument for groundwater modeling in reverse
Numerical groundwater models are important compo-nents of groundwater analyses that are used for makingcritical decisions related to the management of ground-water resources. In this support role, models are oftenconstructed to serve a specific purpose that is to provideinsights, through simulation, related to a specific func-tion of a complex aquifer system that cannot be observeddirectly...
Authors
Jeremy T. White
A python framework for environmental model uncertainty analysis A python framework for environmental model uncertainty analysis
We have developed pyEMU, a python framework for Environmental Modeling Uncertainty analyses, open-source tool that is non-intrusive, easy-to-use, computationally efficient, and scalable to highly-parameterized inverse problems. The framework implements several types of linear (first-order, second-moment (FOSM)) and non-linear uncertainty analyses. The FOSM-based analyses can also be...
Authors
Jeremy T. White, Michael N. Fienen, John E. Doherty
Scripting MODFLOW model development using Python and FloPy Scripting MODFLOW model development using Python and FloPy
Graphical user interfaces (GUIs) are commonly used to construct and postprocess numerical groundwater flow and transport models. Scripting model development with the programming language Python is presented here as an alternative approach. One advantage of Python is that there are many packages available to facilitate the model development process, including packages for plotting, array
Authors
Mark Bakker, Vincent E. A. Post, Christian D. Langevin, Joseph D. Hughes, Jeremy T. White, Jeffrey Starn, Michael N. Fienen
Potential effects of alterations to the hydrologic system on the distribution of salinity in the Biscayne aquifer in Broward County, Florida Potential effects of alterations to the hydrologic system on the distribution of salinity in the Biscayne aquifer in Broward County, Florida
To address concerns about the effects of water-resource management practices and rising sea level on saltwater intrusion, the U.S. Geological Survey in cooperation with the Broward County Environmental Planning and Community Resilience Division, initiated a study to examine causes of saltwater intrusion and predict the effects of future alterations to the hydrologic system on salinity...
Authors
Joseph D. Hughes, Dorothy F. Sifuentes, Jeremy T. White
New insights into the Edwards Aquifer—Brackish-water simulation, drought, and the role of uncertainty analysis New insights into the Edwards Aquifer—Brackish-water simulation, drought, and the role of uncertainty analysis
The Edwards aquifer is an important water resource in south-central Texas, providing water for residents, businesses, and ecosystems. The aquifer is a highly complex karst system characterized by areas of rapid groundwater flow, faulted and fractured Cretaceous-age rocks, and multiple water-quality zones. Karst aquifer systems include soluble rocks such as limestone and dolomite that can...
Authors
Linzy K. Foster, Jeremy T. White
Non-USGS Publications**
White, J.T., Fienen, M.N, and Doherty,J.E. 2016. A python framework for environmental model uncertainty analysis, Environmental Modelling & Software, Volume 85, Pages 217-228, ISSN 1364-8152
**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.