Towards reproducible environmental modeling for decision support: A worked example
A fully worked example of decision-support-scale uncertainty quantification (UQ) and parameter estimation (PE) is presented. The analyses are implemented for an existing groundwater flow model of the Edwards aquifer, Texas, USA, and are completed in a script-based workflow that strives to be transparent and reproducible. High-dimensional PE is used to history-match simulated outputs to corresponding state observations of spring flow and groundwater level. Then a hindcast of a historical drought is made. Using available state observations recorded during drought conditions, the combined UQ and PE analyses are shown to yield an ensemble of model results that bracket the observed hydrologic responses. All files and scripts used for the analyses are placed in the public domain to serve as a template for other practitioners who are interested in undertaking these types of analyses.
Citation Information
| Publication Year | 2020 |
|---|---|
| Title | Towards reproducible environmental modeling for decision support: A worked example |
| DOI | 10.3389/feart.2020.00050 |
| Authors | Jeremy T. White, Linzy K. Foster, Michael N. Fienen, Matthew J. Knowling, Brioch Hemmings, James R. Winterle |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Frontiers in Earth Science, Hydrosphere |
| Index ID | 70221103 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Oklahoma-Texas Water Science Center |
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Towards reproducible environmental modeling for decision support: a worked example
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Towards reproducible environmental modeling for decision support: a worked example
Supporting datasets for the associated journal publication "Towards reproducible environmental modeling for decision support: a worked example". Includes source codes for the version of PEST++ and MODFLOW-2005 used, the pyEMU and FloPy python modules and the driver script "eaa.py". Also included are the existing MODFLOW-2005 models supplied the Edwards Aquifer Authority - Connect