A new utility named USGQUADFAC was added to the Groundwater Utility Suite. This calculates interpolation factors from a regular or quadtree-refined MODFLOW-USG grid to a set of observation wells. These interpolation factors can be used by the USGMOD2OBS and USGMOD2SMP utilities.
The calc_kriging_factors_auto_2d() function was added to PLPROC. This allows interpolation from pilot points to an unstructured grid or mesh. Interpolation uses kriging based on automatically optimized variogram parameters. Anisotropy can be spatially variable over a model domain. This facilitates representation and estimation of geological-structure-controlled parameter fields during the inversion process.
The ASSESSPAR utility was added to the PEST Utility suite. This calculates statistics that support the use of PEST in model-based predictive hypothesis testing.
"Observation re-referencing" functionality was added to PEST. This allows PEST to use one or a number of simple models for calculation of the Jacobian matrix, while reserving use of the complex model for calculation and testing of parameter upgrades. Use of simplified models for derivatives calculation can greatly increase execution time. See Burrows and Doherty (2014) in the journal Ground Water.
Improvements to PEST include the following.
PEST version 13.0 includes the following improvements over version 12.3 of PEST.
A set of utility programs has been written which facilitates use of PEST with a Latin hypercube parameter sampling package developed by Sandia National Laboratories. The utility software and the Latin hypercube sampler itself can be accessed through the "Latin hypercube" main menu item.
PEST version 12.3 includes the following improvements over version 12.2 of PEST.
PEST++ is a PEST-compatible, object-oriented package that undertakes highly parameterized inversion using a variety of regularization methodologies. GENIE is a model-independent TCP/IP-based parallel run manager. PEST++ was written by Dave Welter, while GENIE was written by Chris Muffels. For more details see "The Next Generation" sub-menu of the "Third Party PEST-Compatible Software" main menu item.
PLPROC is a "parameter list processor". It was developed as a generalized spatial model pre-processor. The model can employ a structured or unstructured grid. It can be two or three-dimensional. Use of PLPROC facilitates PEST usage with any such model - for both calibration and uncertainty analysis.
A user controls PLPROC through a set of statements that comprise a type of simple programming language - not unlike PYTHON. Model spatial parameterization can be zone or pilot point based. In the latter case either kriging or radial basis functions (or a combination of the two) can be employed to conduct spatial interpolation between parameterization points and the model grid. Parameters, or whole suites of parameters, can be subjected to arbitrary mathematical manipulation through user-defined mathematical and selection equations.
See the "PLPROC" sub-menu of the "Utility Support Software" main menu item for details.
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