PEST: Model-Independent Parameter Estimation and Uncertainty Analysis
PEST, the software package, automates calibration, and calibration-constrained uncertainty analysis of any numerical model. It interacts with a model through the model’s own input and output files. While estimating or adjusting its parameters, it runs a model many times. These model runs can be conducted either in serial or in parallel. PEST records what it does in easily-understood output files.
PEST, the software suite, performs a plethora of tasks that assist and complement model parameter estimation and uncertainty analysis. These include:
- setup facilitation;
- flexible spatial parameterization;
- objective function definition;
- linear prior and posterior uncertainty analysis;
- nonlinear prior and posterior uncertainty analysis.
Parameter estimation and uncertainty analysis are key to effective environmental management. A GMDSI monograph discusses metrics for decision-support groundwater modelling, and how these metrics are best pursued through appropriate design of the modelling process. It focusses particularly on the thorny issue of model complexity.
Latest change: November 4, 2022 - updated PEST with DSI, DSI1, DSI2 and DSIMOD for data space inversion