PEST2000
|
Category | Parameter estimation |
Publisher | Watermark Computing |
Platform | DOS, UNIX |
Status | Commercial |
Description | PEST2000 is a nonlinear parameter estimation package that is able to "take control" of a model, running it as many times as it needs to while adjusting its parameters until the discrepancies between selected model outputs and a complementary set of field or laboratory measurements is reduced to a minimum in the weighted least squares sense. It includes Parallel PEST, SENSAN and all of the functionality of previous versions of PEST. However in the production of PEST2000, the developmental thrust has been in the addition of predictive analysis capabilities to PEST. Thus PEST, which was the first package to deliver model-independent parameter estimation into the hands of all modelers, now delivers model-independent predictive analysis. It allows modellers to undertake predictive analysis using both calibration and predictive conditions, where a worst (or best) case prediction is used as an "observation" in the parameter estimation process together with the normal calibration dataset. By judiciously choosing observation weights, the user can find a parameter set that achieves a suitably bad (or good) prediction while still keeping the model calibrated. |
Cost | US Dollars 650 |
Data formats supported | None stated |
Supplier in Australia | Watermark Computing |
Supplier in United States of America | BOSS International |
Supplier in United States of America | International Ground Water Modeling Center |
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