Michael N Fienen
Biography
Mike Fienen is a Research Hydrologist at the USGS Wisconsin Water Science Center, an Assistant Adjunct Professor in the Department of Geoscience at the University of Wisconsin-Madison, and a member of the PhD Advisor Committee in the Civil and Environmental Engineering Department at the University of Parma, Italy (DICATeA – Dipartimento di Ingegneria Civile, dell’Ambiente e Territorio e Architettura – Università degli Studi di Parma).
EDUCATION
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
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.
EDITORIAL
Associate Editor, Groundwater
REVIEWER
- Water Resources Research
- Groundwater
- Ground Water Monitoring & Remediation
- Journal of Hydrology
- Journal of Contaminant Hydrology
- Advances in Water Resources
- Hydrogeology Journal
- Hydrological Sciences
- Entropy
- Hydrology and Earth Systems Science Discussions
- Journal of Climatology
- Computers and Geosciences
- Stochastic Environmental Research and Risk Assessment
- Journal of Environmental Informatics
- American Geophysical Union Geophysical Monograph Series
- Wisconsin Department of Natural Resources—Groundwater Coordinating Council Joint Solicitation (2010, 2011, 2012)
- United States Geological Survey/National Institutes for Water Resources Competitive Grants Program Panel (2010)
- Deutsche Forschungsgemeinschaft (German Research Foundation)
- National Science Foundation (NSF) Earth Sciences (EAR) – Hydrologic Sciences
- ARISTEIA – National Council for Research and Technology of Greece
Science and Products
Using Jupyter Notebooks to tell data stories and create reproducible workflows
Increasingly, USGS scientists seek to share and collaborate while working on data and code. Furthermore, these scientists often require advanced computing resources. Jupyter Notebooks are one such tool for creating these workflows. The files are interactive, code “notebooks” which allow users to combine code and text in one document, enabling scientists to share the stories held within their...
TC Chamberlin Modeling Center
The TC Chamberlin Modeling Center provides one-stop access to advanced computing so no project is limited by a lack of computer power. The Center can provide hardware access, assistance with migration and implementation, and training. We also develop, test, and disseminate state-of-the-art computational and analytical techniques and tools so models can be more effectively used in decision-...
Edwards Aquifer Groundwater Model Uncertainty Analysis
USGS Texas Water Science Center (TXWSC) is undertaking a 1.5-year study to assess parameter and predictive uncertainty in the Edwards Aquifer Authority MODFLOW Model using both linear and non-linear techniques. The Edwards Aquifer Authority (EAA) uses two models simulating the periods from 2001 to 2015 (verification model) and the drought of record of 1947-1958 (drought of record model).
Flocks of a feather dock together: Using Docker and HTCondor to link high-throughput computing across the USGS
USGS scientists often face computationally intensive tasks that require high-throughput computing capabilities. Several USGS facilities use HTCondor to run their computational pools but are not necessarily connected to the larger USGS pool. This project demonstrated how to connect HTCondor pools by flocking, or coordinating, within the USGS. In addition to flocking the Upper Midwest...
Empowering decision-makers: A dynamic web interface for running Bayesian networks
U.S. Geological Survey (USGS) scientists are at the forefront of research that is critical for decision-making, particularly through the development of models (Bayesian networks, or BNs) that forecast coastal change. The utility of these tools outside the scientific community has been limited because they rely on expensive, technical software and a moderate understanding of statistical...
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...
A digital crust to advance continental‐scale modeling of subsurface fluid flow in climate, crustal process, and Earth system models
Fluid circulation in the Earth’s crust plays an essential role in surface, near surface, and crustal dynamics. Near the surface, soil water and groundwater interact with each other and with rivers, lakes and wetlands, affecting weathering, soil formation, ecosystem evolution and biogeochemical cycles. Further down (1km), fluid flow affects diagenesis, hydrocarbon maturation and migration, ore...
Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis
PEST++ Version 5 extends and enhances the functionality of the PEST++ Version 3 software suite, providing environmental modeling practitioners access to updated Version 3 tools as well as new tools to support decision making with environmental models. Version 5 of PEST++ includes tools for global sensitivity analysis (PESTPP-SEN); least-squares...
White, Jeremy T.; Hunt, Randall J.; Fienen, Michael N.; Doherty, John E.Simulation of groundwater flow in the regional aquifer system on Long Island, New York, for pumping and recharge conditions in 2005–15
A three-dimensional groundwater-flow model was developed for the aquifer system of Long Island, New York, to evaluate (1) responses of the hydrologic system to changes in natural and anthropogenic hydraulic stresses, (2) the subsurface distribution of groundwater age, and (3) the regional-scale distribution of groundwater travel times and the...
Walter, Donald A.; Masterson, John P.; Finkelstein, Jason S.; Monti, Jr., Jack; Misut, Paul E.; Fienen, Michael N.Integrated hydro-terrestrial modeling: Development of a national capability
Water is one of our most important natural resources and is essential to our national economy and security. Multiple federal government agencies have mission elements that address national needs related to water. Each water-related agency champions a unique science and/or operational mission focused on advancing a portion of the nation’s ability...
Lesmes, David; Moerman, Jessica; Torgeson, Tom; Vallario, Bob; Scheibe, Timothy D.; Foufoula-Georgiou, Efi; Jenter, Harry L.; Bingner, Ronald L.; Condon, Laura; Cosgrove, Brian; Del Castillo, Carlos; Downer, Charles W; Eylander, John; Fienen, Michael N.; Frazier, Nels; Gochis, David; Goodrich, Dave; Harvey, Judson; Hughes, Joseph D.; Hyndman, David; Johnston, John M.; Melton, Forrest; Moglen, Glenn E.; Moulton, David; Lautz, Laura K.; Parmar, Rajbir; Rashleigh, Brenda; Reed, Patrick; Skalak, Katherine; Varadharajan, Charuleka; Viger, Roland J.; Voisin, Nathalie; Wahl, MarkPrioritizing river basins for intensive monitoring and assessment by the US Geological Survey
The US Geological Survey (USGS) is currently (2020) integrating its water science programs to better address the nation’s greatest water resource challenges now and into the future. This integration will rely, in part, on data from 10 or more intensively monitored river basins from across the USA. A team of USGS scientists was convened to develop...
Van Metre, Peter C.; Qi, Sharon L.; Deacon, Jeffrey R.; Dieter, Cheryl A.; Driscoll, Jessica M.; Fienen, Michael N.; Kenney, Terry A.; Lambert, Patrick M.; Lesmes, David; Mason, Christopher Allen; Mueller-Solger, Anke; Musgrove, MaryLynn; Painter, Jaime A.; Rosenberry, Donald O.; Sprague, Lori A.; Tesoriero, Anthony J.; Windham-Myers, Lisamarie; Wolock, David M.Simulation of the probabilistic plume extent for a potential replacement wastewater-infiltration lagoon, and probabilistic contributing areas for supply wells for the Town of Lac du Flambeau, Vilas County, Wisconsin
An existing two-dimensional, steady-state groundwater-flow model of the shallow groundwater-flow system of the Lac du Flambeau Reservation in Vilas County, Wisconsin, originally developed by the U.S. Geological Survey, was used to simulate the potential for wastewater from a proposed relocation of a wastewater lagoon to contaminate the Lac du...
Juckem, Paul F.; Fienen, Michael N.Groundwater flow model for Western Chippewa County–Including analysis of water resources related to industrial sand mining and irrigated agriculture
A groundwater flow model for western Chippewa County, Wisconsin, was developed by the Wisconsin Geological and Natural History Survey (WGNHS) and the U.S. Geological Survey (USGS) using the computer program MODFLOW. The model is the result of a five-year groundwater study commissioned by Chippewa County in 2012 to evaluate the effects of...
Parsen, Michael; Juckem, Paul F.; Gotkowitz, Madeline; Fienen, Michael N.Growing pains of crowdsourced stream stage monitoring using mobile phones: The development of CrowdHydrology
Citizen science-based approaches to monitor the natural environment tend to be bimodal in maturity. Older and established programs such as the Audubon’s Christmas bird count and Community Collaborative Rain, Hail, and Snow Network (CoCoRaHS) have thousands of participants across decades of observations, while less mature citizen science projects...
Lowry, Christopher; Fienen, Michael N.; Hall, Damon M.; Stepenuck, KristineUse of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts
Historical training and operational activities at Joint Base Cape Cod (JBCC) on western Cape Cod, Massachusetts, have resulted in the release of contaminants into an underlying glacial aquifer that is the sole source of water to the surrounding communities. Remedial systems have been installed to contain and remove contamination from the aquifer....
Walter, Donald A.; McCobb, Timothy D.; Fienen, Michael N.Adjudicating groundwater: A judge’s guide to understanding groundwater and modeling
Dividing the Waters offers this groundwater science bench book that cannot be matched by any other scientific or judicial publication. Adjudicating Groundwater combines the expertise and experience of academic scientists (UC Davis/Stanford), federal scientists (U.S. Geological Survey), and judicial officers to create a...
Brandt, Alf; Fienen, Michael N.; White, Jeremy T.; Harter, Thomas; Moran, Tara; Wildman, EricWrangling 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...
Erickson, Richard A.; Fienen, Michael N.; McCalla, S. Grace; Weiser, Emily L.; Bower, Melvin L.; Knudson, Jonathan M.; Thain, GregMetamodeling 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...
Fienen, Michael N.; Nolan, B. Thomas; Kauffman, Leon J.; Feinstein, Daniel T.Capture 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...
Barlow, Paul M.; Stanley A. Leake; Fienen, Michael N.Pre-USGS Publications
PEST++, a Software Suite for Parameter Estimation, Uncertainty Analysis, Management Optimization and Sensitivity Analysis
DISCLAIMER BELOW
Wells Affect Water Flows in the Central Sands Region
Both irrigation wells and municipal wells affect flows in the Little Plover River near Plover, Wisconsin, stretches of which ran dry in past years, according to a new scientific report.
Little Plover groundwater study - public meeting
Mike Fienen (USGS), along with Ken Bradbury (WGHNS), presented the results of their two-year study of the Little Plover River groundwater system on April 12, 2016, from 6:00-8:00 pm, at the Noel Fine Arts Center in Stevens Point, Wis. This study used existing stream and high-capacity well data to simulate the groundwater and surface-water flow system of the Little Plover.