List of works - John E. Doherty

Approaches in highly parameterized inversion - GENIE, a general model-independent TCP/IP run manager

Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models

Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization

scholarly article published 2012

Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions

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

scholarly article published 2015

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

Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis

Approaches to highly parameterized inversion: Pilot-point theory, guidelines, and research directions

Are models too simple? Arguments for increased parameterization

scientific article published in May 2007

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

scientific article

Efficient Calibration/Uncertainty Analysis Using Paired Complex/Surrogate Models

scientific article published on 20 August 2014

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

Practical postcalibration uncertainty analysis: Yucca Mountain, Nevada

scientific article

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

Quantifying data worth toward reducing predictive uncertainty

scientific article

Quantifying the predictive consequences of model error with linear subspace analysis

Uncertainty analysis of a groundwater flow model in East-central Florida

scientific article published on 12 July 2014

Using a cloud to replenish parched groundwater modeling efforts

scientific article

Using models for the optimization of hydrologic monitoring

Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project

article

List of works by John E. Doherty

Approaches in highly parameterized inversion - GENIE, a general model-independent TCP/IP run manager

Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models

Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization

Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions

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

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

Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis

Approaches to highly parameterized inversion: Pilot-point theory, guidelines, and research directions

Are models too simple? Arguments for increased parameterization

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

Efficient Calibration/Uncertainty Analysis Using Paired Complex/Surrogate Models

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

Practical postcalibration uncertainty analysis: Yucca Mountain, Nevada

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

Quantifying data worth toward reducing predictive uncertainty

Quantifying the predictive consequences of model error with linear subspace analysis

Uncertainty analysis of a groundwater flow model in East-central Florida

Using a cloud to replenish parched groundwater modeling efforts

Using models for the optimization of hydrologic monitoring

Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project