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

Toward Reproducible Environmental Modeling for Decision Support: A Worked Example

(2020) Jeremy T. White et al.   Frontiers in Earth Science

Diagnosing reservoir model deficiency for model improvement

(2020) Dean S. Oliver   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Early Uncertainty Quantification for an Improved Decision Support Modeling Workflow: A Streamflow Reliability and Water Quality Example

(2020) Brioch Hemmings et al.   Frontiers in Earth Science

Role of model parameterization in risk-based decision support: An empirical exploration

(2019) Matthew J. Knowling et al.   ADVANCES IN WATER RESOURCES

Evaluating prior predictions of production and seismic data

(2019) Miguel Alfonzo et al.   COMPUTATIONAL GEOSCIENCES

A python framework for environmental model uncertainty analysis

(2016) Jeremy T. White et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Scripting MODFLOW Model Development Using Python and FloPy

(2016) M. Bakker et al.   Groundwater

Scripting MODFLOW Model Development Using Python and FloPy

(2016) M. Bakker et al.   Groundwater

Quantifying the predictive consequences of model error with linear subspace analysis

(2014) Jeremy T. White et al.   WATER RESOURCES RESEARCH

A short exploration of structural noise

(2010) John Doherty et al.   WATER RESOURCES RESEARCH

Reproducible Research in Computational Harmonic Analysis

(2008) David L. Donoho et al.   COMPUTING IN SCIENCE & ENGINEERING