Michael N. Fienen

发表

A cross-validation package driving Netica with python

Nathaniel G. Plant, Michael N. Fienen, N. Plant, 2015, Environ. Model. Softw..

Approaches to Highly Parameterized Inversion: Pilot-Point Theory, Guidelines, and Research Directions

John Doherty, Michael N. Fienen, Randall J. Hunt, 2014 .

The Interface Between Data and Predictions through Machine Learning and Bayesian Networks

Michael N. Fienen, 2014 .

Evaluating the sources of water to wells: Three techniques for metamodeling of a groundwater flow model

Michael N. Fienen, Bernard T. Nolan, Daniel T. Feinstein, 2016, Environ. Model. Softw..

Social.Water - A crowdsourcing tool for environmental data acquisition

Michael N. Fienen, Christopher S. Lowry, C. Lowry, 2012, Comput. Geosci..

cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation

Michael N. Fienen, Thomas C. Kunicki, Daniel E. Kester, 2011 .

Predicting recreational water quality advisories: A comparison of statistical methods

Michael N. Fienen, Wesley Brooks, Steven Corsi, 2016, Environ. Model. Softw..

A python framework for environmental model uncertainty analysis

Michael N. Fienen, Jeremy T. White, John E. Doherty, 2016, Environ. Model. Softw..

Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling

Javed Iqbal, John E. Sawyer, Robert P. Anex, 2015, Environ. Model. Softw..

Approaches in Highly Parameterized Inversion: bgaPEST, a Bayesian Geostatistical Approach Implementation With PEST?Documentation and Instructions

John Doherty, Michael N. Fienen, Randall J. Hunt, 2014 .

SOCIAL.WATER—CROWDSOURCING SOFTWARE FOR OBTAINING AND PROCESSING CITIZEN SCIENCE OBSERVATIONS

Michael N. Fienen, 2012 .

An interactive Bayesian geostatistical inverse protocol for hydraulic tomography

Peter K. Kitanidis, Michael N. Fienen, Tom Clemo, 2006 .

GHOST IN THE MACHINE: USING ARTIFICIAL INTELLIGENCE, TRAINED ON GROUNDWATER MODELS, FOR RAPID DECISION SUPPORT

Michael N. Fienen, 2020 .

Bayesian network modeling applied to coastal geomorphology: lessons learned from a decade of experimentation and application

Nathaniel G. Plant, Michael N. Fienen, Erika E. Lentz, 2016 .

Social.Water—an open-source python code for citizen-driven data acquisition

Michael N. Fienen, Christopher S. Lowry, 2013 .

Parameter Estimation in MODFLOW Using a Bayesian Inverse Approach

Michael N. Fienen, Tom Clemo, Randall J. Hunt, 2008 .

HESS Opinions: Repeatable research: what hydrologists can learn from the Duke cancer research scandal

Michael N. Fienen, Mark Bakker, 2016 .

Nitrous Oxide Emissions from Cropland: a Procedure for Calibrating the DayCent Biogeochemical Model Using Inverse Modelling

Robert P. Anex, Michael N. Fienen, Rashad Rafique, 2013, Water, Air, & Soil Pollution.

A tool for efficient, model-independent management optimization under uncertainty

Michael N. Fienen, Jeremy T. White, Paul M. Barlow, 2018, Environ. Model. Softw..

Metamodeling and Surrogate Modeling: Addressing Model Uncertainty and Support for Decision Making II Posters

Michael N. Fienen, 2015 .

Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses

Michael N. Fienen, Jeremy T. White, Matthew J. Knowling, 2021, Environ. Model. Softw..

Semi-analytical homogeneous anisotropic capture zone delineation

Peter K. Kitanidis, Michael N. Fienen, P. Kitanidis, 2005 .

Development of a joint hydrogeophysical inversion approach and application to a contaminated fractured aquifer

Susan S. Hubbard, Kenneth H. Williams, Jinsong Chen, 2006 .

Simulation of groundwater flow and effects of groundwater irrigation on stream base flow in the Elkhorn and Loup River Basins, Nebraska, 1895-2055-Phase Two

Michael N. Fienen, Steven M. Peterson, M. Fienen, 2010 .

Growing Pains of Crowdsourced Stream Stage Monitoring Using Mobile Phones: The Development of CrowdHydrology

Kristine F. Stepenuck, Michael N. Fienen, Damon M. Hall, 2019, Front. Earth Sci..

Using Prediction Uncertainty Analysis to Design Hydrologic Monitoring Networks: Example Applications from the Great Lakes Water Availability Pilot Project

John Doherty, Michael N. Fienen, Howard W. Reeves, 2014 .

Obtaining parsimonious hydraulic conductivity fields using head and transport observations: A Bayesian geostatistical parameter estimation approach: COUPLED FLOW AND PARAMETER ESTIMATION

Michael N. Fienen, Tom Clemo, Randy J. Hunt, 2009 .

Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin

Michael N. Fienen, Daniel T. Feinstein, L. J. Kauffman, 2018, Water Resources Research.

A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

Michael N. Fienen, David L. Lorenz, Bernard T. Nolan, 2015 .