Skip to main content
U.S. flag

An official website of the United States government

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

March 17, 2021

Computer models of environmental systems routinely inform decision making for water resource management. In this context, quantifying uncertainty in the important simulated outputs, and reducing uncertainty through assimilating historic system-state observations, is as important as the numerical model. However, implementing high-dimensional and stochastic workflows are challenging, often requiring that practitioners have theoretical and practical understanding of several advanced topics. Worse, implementing these important analyses can take substantial time and effort. This additional effort is often cited as justification for postponing, or even forgoing, these analyses.

Herein, we present scripting tools to facilitate the efficient and repeatable construction of high-dimensional, geostatistical-based PEST interfaces, including uncertainty analyses. As demonstrated, these tools can be applied with minimal effort to a model with varied temporal and spatial discretization. Ultimately, these tools can enable low-cost access to valuable decision-support analyses earlier and more frequently during the modeling workflow.

Citation Information

Publication Year 2021
Title Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses
DOI 10.1016/j.envsoft.2021.105022
Authors Jeremy White, Brioch Hemmings, Michael N. Fienen, Matthew Knowling
Publication Type Article
Publication Subtype Journal Article
Series Title Environmental Modelling & Software
Series Number
Index ID 70221345
Record Source USGS Publications Warehouse
USGS Organization Upper Midwest Water Science Center