This brings together in one place all of the theory on which PEST and its suite of utility software is based. It also covers important issues like how models should be used in the decision-making context, uncertainty analysis, model-based hypothesis testing, and the effects of model defects on calibrat`ion, prediction and uncertainty analysis. This book makes an essential reference text for those engaged in environmental modelling. Find out more about the book.
PEST_HP is can be purchased from this site. “HP” stands for “highly parallelized” or “high performance” (you can choose).
Two facets of PEST_HP design make it different from that of traditional PEST/BEOPEST. These are as follows.
you use PEST.cloud, then you use PEST_HP automatically. Alternatively, PEST_HP
can be purchased as a stand-alone item for your own cloud, network or cluster
This is available for existing users of PEST_HP. You can download it from here. It will work with your existing license file. Also, download the new
PEST.cloud is a PEST cloud enabler. It
gives a modeller ridiculously easy access to the cloud computing environment
for model calibration using PEST_HP. A user does not need to know anything but
the barest essentials about cloud computing. Uploading/downloading of PEST and
model files, distribution of files to computing nodes, and shutting down of
those nodes when the inversion process is finished, is all taken care of.
Meanwhile a modeller gets to use PEST_HP for efficient inversion, and has
access to run-time statistics generated by PEST_HP while calibration is in
Courses are planned for the US, Italy and Chile. See the training page.
At last, documentation for PEST and its Utilities has been completely re-written!
The new PEST manual is detailed and comprehensive. It now comes in two parts.
Part I describes PEST itself (including Parallel PEST and BEOPEST), as well as the two PEST-compatible global optimisers CMAES_P and SCEUA_P. Part II documents over 100 utility support programs whose tasks include the following:
Here are some downloads that can help you quickly learn more about PEST, its philosophical underpinnings, and implications of PEST technology for model-based decision support:-
See the downloads page for much more.
These pages were last updated on 12th May, 2019. (PEST version 16.1)
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