| Scripting MODFLOW model development using Python and FloPy M Bakker, V Post, CD Langevin, JD Hughes, JT White, JJ Starn, ... Groundwater 54 (5), 733-739, 2016 | 354 | 2016 |
| A model-independent iterative ensemble smoother for efficient history-matching and uncertainty quantification in very high dimensions JT White Environmental Modelling & Software 109, 191-201, 2018 | 145 | 2018 |
| A python framework for environmental model uncertainty analysis JT White, MN Fienen, JE Doherty Environmental Modelling & Software 85, 217-228, 2016 | 117 | 2016 |
| Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis JT White, RJ Hunt, MN Fienen, JE Doherty Techniques and Methods, 2020 | 107 | 2020 |
| Approaches in highly parameterized inversion—PEST++ Version 3, a Parameter ESTimation and uncertainty analysis software suite optimized for large environmental models DE Welter, JT White, RJ Hunt, JE Doherty Techniques and Methods, 2015 | 96 | 2015 |
| Quantifying the predictive consequences of model error with linear subspace analysis JT White, JE Doherty, JD Hughes Water Resources Research 50 (2), 1152-1173, 2014 | 90 | 2014 |
| Scripting MODFLOW model development using Python and FloPy, Groundwater, 54, 733–739 M Bakker, V Post, CD Langevin, JD Hughes, JT White, JJ Starn, ... | 48 | 2016 |
| Documentation of the surface-water routing (SWR1) process for modeling surface-water flow with the US Geological Survey modular ground-water model (MODFLOW-2005) JD Hughes, CD Langevin, KL Chartier, JT White Techniques and Methods, i-113, 2012 | 47 | 2012 |
| Role of model parameterization in risk-based decision support: An empirical exploration MJ Knowling, JT White, CR Moore Advances in water resources 128, 59-73, 2019 | 40 | 2019 |
| Forecast First: An Argument for Groundwater Modeling in Reverse. JT White Ground Water 55 (5), 2017 | 40 | 2017 |
| Hydrologic conditions in urban Miami-Dade County, Florida, and the effect of groundwater pumpage and increased sea level on canal leakage and regional groundwater flow JD Hughes, JT White Scientific Investigations Report, 2014 | 37 | 2014 |
| Revisiting “an exercise in groundwater model calibration and prediction” after 30 years: Insights and new directions RJ Hunt, MN Fienen, JT White Groundwater 58 (2), 168-182, 2020 | 33 | 2020 |
| A tool for efficient, model-independent management optimization under uncertainty JT White, MN Fienen, PM Barlow, DE Welter Environmental Modelling & Software 100, 213-221, 2018 | 33 | 2018 |
| Toward reproducible environmental modeling for decision support: A worked example JT White, LK Foster, MN Fienen, MJ Knowling, B Hemmings, JR Winterle Frontiers in Earth Science 8, 50, 2020 | 29 | 2020 |
| Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses JT White, B Hemmings, MN Fienen, MJ Knowling Environmental Modelling & Software 139, 105022, 2021 | 27 | 2021 |
| On the assimilation of environmental tracer observations for model-based decision support MJ Knowling, JT White, CR Moore, P Rakowski, K Hayley Hydrology and Earth System Sciences 24 (4), 1677-1689, 2020 | 26 | 2020 |
| Efficient inversion and uncertainty quantification of a tephra fallout model JT White, CB Connor, L Connor, T Hasenaka Journal of Geophysical Research: Solid Earth 122 (1), 281-294, 2017 | 25 | 2017 |
| Scripting MODFLOW model development using Python and FloPy. Groundwater 54 (5): 733–739 M Bakker, V Post, CD Langevin, JD Hughes, JT White, JJ Starn, ... | 21 | 2016 |
| Risk‐based wellhead protection decision support: A repeatable workflow approach MN Fienen, NT Corson‐Dosch, JT White, AT Leaf, RJ Hunt Groundwater 60 (1), 71-86, 2022 | 20 | 2022 |
| Evaluating lower computational burden approaches for calibration of large environmental models RJ Hunt, JT White, LL Duncan, CJ Haugh, J Doherty Groundwater 59 (6), 788-798, 2021 | 19 | 2021 |
Michael FienenResearch Hydrologist, US Geological SurveyVerified email at usgs.gov
