J. Doherty

发表

EXPERIMENTS WITH INVERSE MODELLING AND UNCERTAINTY QUANTIFICATION WITH A GEOTHERMAL MODEL

M. O'Sullivan, Angus Yeh, J. O’Sullivan, 2017 .

Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers

Daniel Mossé, John Doherty, Lingjia Tang, 2015, 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA).

Optimization and uncertainty assessment of strongly nonlinear groundwater models with high parameter dimensionality

Q. Kang, J. Doherty, J. Vrugt, 2010 .

The cost of uniqueness in groundwater model calibration

J. Doherty, C. Moore, 2006 .

Are Models Too Simple? Arguments for Increased Parameterization

R. Hunt, J. Doherty, M. Tonkin, 2007, Ground water.

Role of the calibration process in reducing model predictive error

J. Doherty, C. Moore, 2005 .

METHODOLOGIES FOR CALIBRATION AND PREDICTIVE ANALYSIS OF A WATERSHED MODEL 1

J. Doherty, J. M. Johnston, 2003 .

Uncertainty of CERES-Maize Calibration under Different Irrigation Strategies Using PEST Optimization Algorithm

P. Bartling, J. Doherty, R. Malone, 2019, Agronomy.

Beyond Groundwater: Calibration and Uncertainty Analysis for Large Transient Coupled Models

R. Hunt, J. Doherty, S. Westenbroek, 2015 .

A hybrid regularized inversion methodology for highly parameterized environmental models

J. Doherty, M. Tonkin, 2005 .

Calibration‐constrained Monte Carlo analysis of highly parameterized models using subspace techniques

J. Doherty, M. Tonkin, 2009 .

Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration

R. Hunt, J. Doherty, 2010 .

Impact of peatland drainage and restoration on esker groundwater resources: modeling future scenarios for management

J. Doherty, B. Kløve, P. Ala‐aho, 2014, Hydrogeology Journal.

Efficient Calibration/Uncertainty Analysis Using Paired Complex/Surrogate Models

J. Doherty, Wesley Burrows, 2015, Ground water.

Uncertainty assessment and implications for data acquisition in support of integrated hydrologic models

J. Doherty, C. Simmons, P. Brunner, 2012 .

Uncertainty Analysis of a Groundwater Flow Model in East‐Central Florida

J. Doherty, N. Sepúlveda, 2015, Ground water.

Reply to discussion by Carl W. Chen "Methodologies for calibration and predictive analysis of a watershed model"

John Doherty, John M. Johnston, J. Doherty, 2003 .

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 .

Efficient accommodation of local minima in watershed model calibration

John Doherty, Brian E. Skahill, J. Doherty, 2006 .

Efficient regularization and uncertainty analysis using a global optimization methodology

John Doherty, Catherine Moore, Thomas Wöhling, 2010 .

Two statistics for evaluating parameter identifiability and error reduction

John Doherty, Randall J. Hunt, R. Hunt, 2009 .

Practical Postcalibration Uncertainty Analysis: Yucca Mountain, Nevada

Al-Aziz Eddebbarh, Scott C James, J. Doherty, 2009, Ground water.

Efficient nonlinear predictive error variance for highly parameterized models

John Doherty, Catherine Moore, Matthew J. Tonkin, 2006 .

Hydrologic Calibration Strategies for the HSPF Watershed Model: Identifying Effective Objective Functions for Use with the Parameter Estimation (PEST) Program

John Doherty, John L. Kittle, J. Doherty, 2003 .

Predictive uncertainty analysis of a saltwater intrusion model using null‐space Monte Carlo

John Doherty, Christian D. Langevin, Daan Herckenrath, 2011 .

Data worth and prediction uncertainty for pesticide transport and fate models in Nebraska and Maryland, United States.

J. Doherty, D. Shaner, R. Malone, 2015, Pest management science.

Conceptualization and Calibration of Anisotropic Alluvial Systems: Pitfalls and Biases

J. Doherty, P. Brunner, G. Gianni, 2018, Ground water.

MODEL-BASED DECISION MAKING: A NEW PERSPECTIVE.

P. Reimus, J. Doherty, S. James, 2010 .

Gradient-based model calibration with proxy-model assistance

John Doherty, Wesley Burrows, J. Doherty, 2016 .

Applying PEST (parameter ESTimation) to improve parameter estimation and uncertainty analysis in WaterCAST models

J. Doherty, R. Searle, K. Moodie, 2009 .

An advanced regularization methodology for use in watershed model calibration

John Doherty, Brian E. Skahill, J. Doherty, 2006 .

Incorporating the Effect of Gas in Modelling the Impact of CBM Extraction on Regional Groundwater Systems

John Doherty, Sorab Panday, Daan Herckenrath, 2015 .

Decision Support Modeling: Data Assimilation, Uncertainty Quantification, and Strategic Abstraction

John Doherty, Catherine Moore, J. Doherty, 2019, Ground water.

Groundwater modelling in decision support: reflections on a unified conceptual framework

John Doherty, Craig T. Simmons, J. Doherty, 2013, Hydrogeology Journal.

Ground Water Model Calibration Using Pilot Points and Regularization

John Doherty, J. Doherty, 2003, Ground water.

Response to Comment on “Two statistics for evaluating parameter identifiability and error reduction”

John Doherty, Randall J. Hunt, R. Hunt, 2010 .

Parameter interdependence and uncertainty induced by lumping in a hydrologic model

John Doherty, Mark R. Gallagher, J. Doherty, 2007 .

Using heuristic multi-objective optimization for quantifying predictive uncertainty associated with groundwater flow and reactive transport models

John Doherty, Henning Prommer, Adam J. Siade, 2019, Journal of Hydrology.

Predictive error dependencies when using pilot points and singular value decomposition in groundwater model calibration

John Doherty, Steen Christensen, J. Doherty, 2008 .

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

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

Quantifying the predictive consequences of model error with linear subspace analysis

John Doherty, Joseph D. Hughes, Jeremy T. White, 2014 .

Use of paired simple and complex models to reduce predictive bias and quantify uncertainty

John Doherty, Steen Christensen, J. Doherty, 2011 .

A short exploration of structural noise

John Doherty, David E. Welter, J. Doherty, 2010 .

Parameter estimation and uncertainty analysis for a watershed model

John Doherty, Mark Gallagher, J. Doherty, 2007, Environ. Model. Softw..

Complex or Simple—Does a Model Have to be One or the Other?

Rui T. Hugman, J. Doherty, 2022, Frontiers in Earth Science.

Hypothesis testing of buoyant plume migration using a highly parameterized variable-density groundwater model at a site in Florida, USA

John Doherty, Christian D. Langevin, Alyssa M. Dausman, 2010 .

Computationally Efficient Regularized Inversion for Highly Parameterized MODFLOW Models

J. Doherty, M. Tonkin, T. Clemo, 2003 .

Pareto-Based Methodology for the Calibration and Uncertainty Analysis of Gated Culvert Flows

J. E. Doherty, M. M. Wilsnack, D. E. Welter, 2012 .

Comparison of hydrologic calibration of HSPF using automatic and manual methods

John Doherty, Brian L. Benham, Kevin M. Brannan, 2007 .

Parameter and predictive outcomes of model simplification

John Doherty, Ty A. Watson, Steen Christensen, 2013 .

Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis

R. Hunt, J. Doherty, M. Fienen, 2020 .

Approaches in highly parameterized inversion—PEST++ Version 3, a Parameter ESTimation and uncertainty analysis software suite optimized for large environmental models

Randall J. Hunt, John Doherty, David E. Welter, 2015 .

Methodologies for calibration and predictive analysis of a watershed model, by John Doherty and John M. Johnston. Author's reply

John Doherty, John M. Johnston, Ray C. Whittemore, 2003 .

Quantifying Data Worth Toward Reducing Predictive Uncertainty

Christian D Langevin, John Doherty, Alyssa M. Dausman, 2010, Ground water.

MODFLOW 2001 and Other Modeling Odysseys

C. Zheng, J. Doherty, E. Poeter, 2003 .

Using a coupled groundwater/surface-water model to predict climate-change impacts to lakes in the Trout Lake Watershed, northern Wisconsin

R. Hunt, L. Hay, J. Doherty, 2009 .

Integrated and data Science-informed seabed characterisation for optimised foundation design

M. F. Bransby, J. Doherty, E. Dalgaard, 2023, Ocean Engineering.

Using a Cloud to Replenish Parched Groundwater Modeling Efforts

Willem A. Schreuder, Douglas B. Rumbaugh, John Doherty, 2010, Ground water.

Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis

John Doherty, Matthew J. Tonkin, Randall J. Hunt, 2014 .

Some Challenges Posed by Coal Bed Methane Regional Assessment Modeling

Stephen Howell, Catherine R Moore, John Doherty, 2015, Ground water.

Case studies of predictive uncertainty quantification for geothermal models

John Doherty, John O'Sullivan, Michael O'Sullivan, 2021, Geothermics.

Exploring the Adequacy of Steady-State-Only Calibration

J. Doherty, C. Moore, 2021, Frontiers in Earth Science.

PEST: A Unique Computer Program for Model-independent Parameter Optimisation

John Doherty, J. Doherty, 1994 .

Using tree ring data as a proxy for transpiration to reduce predictive uncertainty of a model simulating groundwater-surface water-vegetation interactions

John Doherty, Wolfgang Kinzelbach, Philip Brunner, 2014 .

Using models for the optimization of hydrologic monitoring

R. Hunt, J. Doherty, M. Fienen, 2011 .

The interpretation of pump-test data from a disused underground mine

J. Doherty, 1990 .

The Traveling Pilot Point method. A novel approach to parameterize the inverse problem for categorical fields

Prashanth Khambhammettu, Philippe Renard, John Doherty, 2020, Advances in Water Resources.