Michael N Fienen
Mike Fienen is a Research Hydrologist with the Upper Midwest Water Science Center.
RESEARCH SUMMARY
My research mission is to provide decision-making support for environmental managers that considers uncertainty in all aspects of decisions and strives to extract the most information from the data. This mission is expressed through the main research threads of model calibration and inference of environmental systems. Specific applications include groundwater quantity and quality; statistical inference and prediction of recreational water quality on beaches; mercury in water and fish; and the groundwater and habitat impacts of sea-level rise. In support of these threads, aspects of computational efficiency, statistical analysis, and data management also play important roles.
Education and Certifications
Ph.D. Environmental Fluid Mechanics and Hydrology, Department of Civil and Environmental Engineering, Stanford University
M.Sc. Environmental Fluid Mechanics and Hydrology, Department of Civil and Environmental Engineering, Stanford University
B.A. Geology, Macalester College Spring Semester in the Rockies, National Outdoor Leadership School
Science and Products
Wrangling distributed computing for high-throughput environmental science: An introduction to HTCondor
Metamodeling for groundwater age forecasting in the Lake Michigan Basin
Capture versus capture zones: Clarifying terminology related to sources of water to wells
A tool for efficient, model-independent management optimization under uncertainty
Generalized hydrogeologic framework and groundwater budget for a groundwater availability study for the glacial aquifer system of the United States
Depletion mapping and constrained optimization to support managing groundwater extraction
Community for Data Integration 2016 annual report
Groundwater flow model for the Little Plover River basin in Wisconsin’s Central Sands
HESS Opinions: Repeatable research: what hydrologistscan learn from the Duke cancer research scandal
A python framework for environmental model uncertainty analysis
Assessment of groundwater availability in the Northern Atlantic Coastal Plain aquifer system From Long Island, New York, to North Carolina
Documentation of a groundwater flow model developed to assess groundwater availability in the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to North Carolina
Science and Products
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Filter Total Items: 87
Wrangling distributed computing for high-throughput environmental science: An introduction to HTCondor
Biologists and environmental scientists now routinely solve computational problems that were unimaginable a generation ago. Examples include processing geospatial data, analyzing -omics data, and running large-scale simulations. Conventional desktop computing cannot handle these tasks when they are large, and high-performance computing is not always available nor the most appropriate solution forAuthorsRichard A. Erickson, Michael N. Fienen, S. Grace McCalla, Emily L. Weiser, Melvin L. Bower, Jonathan M. Knudson, Greg ThainMetamodeling for groundwater age forecasting in the Lake Michigan Basin
Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can provide estimates of groundwater age, enabling interpretation of measured age tracers. However, to extend to national‐scale groundwater systems where numerical models are not routinely available, a more effiAuthorsMichael N. Fienen, B. Thomas Nolan, Leon J. Kauffman, Daniel T. FeinsteinCapture versus capture zones: Clarifying terminology related to sources of water to wells
The term capture, related to the source of water derived from wells, has been used in two distinct yet related contexts by the hydrologic community. The first is a water‐budget context, in which capture refers to decreases in the rates of groundwater outflow and (or) increases in the rates of recharge along head‐dependent boundaries of an aquifer in response to pumping. The second is a transport cAuthorsPaul M. Barlow, Stanley A. Leake, Michael N. FienenA tool for efficient, model-independent management optimization under uncertainty
To fill a need for risk-based environmental management optimization, we have developed PESTPP-OPT, a model-independent tool for resource management optimization under uncertainty. PESTPP-OPT solves a sequential linear programming (SLP) problem and also implements (optional) efficient, “on-the-fly” (without user intervention) first-order, second-moment (FOSM) uncertainty techniques to estimate modeAuthorsJeremy T. White, Michael N. Fienen, Paul M. Barlow, Dave E. WelterGeneralized hydrogeologic framework and groundwater budget for a groundwater availability study for the glacial aquifer system of the United States
The glacial aquifer system groundwater availability study seeks to quantify (1) the status of groundwater resources in the glacial aquifer system, (2) how these resources have changed over time, and (3) likely system response to future changes in anthropogenic and environmental conditions. The glacial aquifer system extends from Maine to Alaska, although the focus of this report is the part of theAuthorsHoward W. Reeves, Randall E. Bayless, Robert W. Dudley, Daniel T. Feinstein, Michael N. Fienen, Christopher J. Hoard, Glenn A. Hodgkins, Sharon L. Qi, Jason L. Roth, Jared J. TrostDepletion mapping and constrained optimization to support managing groundwater extraction
Groundwater models often serve as management tools to evaluate competing water uses including ecosystems, irrigated agriculture, industry, municipal supply, and others. Depletion potential mapping—showing the model-calculated potential impacts that wells have on stream baseflow—can form the basis for multiple potential management approaches in an oversubscribed basin. Specific management approacheAuthorsMichael N. Fienen, Kenneth R. Bradbury, Maribeth Kniffin, Paul M. BarlowCommunity for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponsoAuthorsMadison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-MyersGroundwater flow model for the Little Plover River basin in Wisconsin’s Central Sands
The Little Plover River is a groundwater-fed stream in the sand plains region of central Wisconsin. In this region, sandy sediment deposited during or soon after the last glaciation forms an important unconfined sand and gravel aquifer. This aquifer supplies water for numerous high-capacity irrigation, municipal, and industrial wells that support a thriving agricultural industry. In recent years tAuthorsKen Bradbury, Michael N. Fienen, Maribeth Kniffin, Jacob Krause, Stephen M. Westenbroek, Andrew T. Leaf, Paul M. BarlowHESS Opinions: Repeatable research: what hydrologistscan learn from the Duke cancer research scandal
In the past decade, difficulties encountered in reproducing the results of a cancer study at Duke University resulted in a scandal and an investigation which concluded that tools used for data management, analysis, and modeling were inappropriate for the documentation of the study, let alone the reproduction of the results. New protocols were developed which require that data analysis and modelingAuthorsMichael Fienen, Mark BakkerA 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 completed prioAuthorsJeremy T. White, Michael N. Fienen, John E. DohertyAssessment of groundwater availability in the Northern Atlantic Coastal Plain aquifer system From Long Island, New York, to North Carolina
Executive SummaryThe U.S. Geological Survey began a multiyear regional assessment of groundwater availability in the Northern Atlantic Coastal Plain (NACP) aquifer system in 2010 as part of its ongoing regional assessments of groundwater availability of the principal aquifers of the Nation. The goals of this national assessment are to document effects of human activities on water levels and groundAuthorsJohn P. Masterson, Jason P. Pope, Michael N. Fienen, Jack Monti, Jr., Mark R. Nardi, Jason S. FinkelsteinDocumentation of a groundwater flow model developed to assess groundwater availability in the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to North Carolina
The U.S. Geological Survey developed a groundwater flow model for the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to northeastern North Carolina as part of a detailed assessment of the groundwater availability of the area and included an evaluation of how these resources have changed over time from stresses related to human uses and climate trends. The assessment wasAuthorsJohn P. Masterson, Jason P. Pope, Michael N. Fienen, Jack Monti, Jr., Mark R. Nardi, Jason S. Finkelstein - Science
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