Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks
November 16, 2022
A series of Jupyter notebooks documenting a self-guided, interactive curriculum for the PEST++ family of software codes for uncertainty analysis, parameter estimation, and management optimization.
For a currently maintained version of these materials, please visit https://github.com/gmdsi/GMDSI_notebooks.
Citation Information
Publication Year | 2022 |
---|---|
Title | Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks |
DOI | 10.5066/P901F9G0 |
Authors | Rui Hugman, Jeremy White, Michael N Fienen, Randall J Hunt |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Upper Midwest Water Science Center |
Rights | This work is marked with CC0 1.0 Universal |