Towards reproducible environmental modeling for decision support: a worked example
June 1, 2021
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
Citation Information
Publication Year | 2021 |
---|---|
Title | Towards reproducible environmental modeling for decision support: a worked example |
DOI | 10.5066/P9AUZMI7 |
Authors | Jeremy White, Linzy Foster, Michael N Fienen, Matthew J. Knowling, Brioch Hemmings, James R. Winterle |
Product Type | Data Release |
Record Source | USGS Digital Object Identifier Catalog |
USGS Organization | Oklahoma-Texas Water Science Center – Austin, TX Office |
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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 correspondi
Authors
Jeremy T. White, Linzy K. Foster, Michael N. Fienen, Matthew J. Knowling, Brioch Hemmings, James R. Winterle
Related Content
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 correspondi
Authors
Jeremy T. White, Linzy K. Foster, Michael N. Fienen, Matthew J. Knowling, Brioch Hemmings, James R. Winterle