Five Day Course: Model Calibration and Uncertainty Analysis

Rockville, Maryland - January 22-26, 2024

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This course will be led by John Doherty, author of PEST.

The course will cover important aspects of decision-support modelling – aspects that will often determine whether it is successful or not.

The focus is on getting information from data, and making sure that this information is delivered to decision-makers and stakeholders in ways that they understand. Fundamental to this are the concepts and practicalities of history-matching, uncertainty analysis and problem decomposition.

These will be discussed and demonstrated in a casual and friendly learning environment.

You will also learn how to use programs of the PEST and PEST++ suites.

Both modellers and non-modellers can benefit from this course. Understanding the sources and repercussions of uncertainty allows you to understand what modelling can, and cannot, provide to environmental management. It also allows modelling to tell you what types of data can most effectively reduce the uncertainties of predictions that you care about.

Decision-support modelling is where numerical simulation meets machine learning.


Topics that are covered in the course include the following:

  • Structural and parameterisation complexity
  • Manual, subspace and Tikhonov regularisation
  • Bayes equation
  • Pilot points as a parameterisation device
  • Covariance matrices
  • Stochastic field generation
  • Stationary and non-stationary statistics
  • Linear and nonlinear uncertainty analysis
  • Ensemble methods
  • Data space inversion




As a course participant, you will receive a memory stick that includes:

  • Copies of all slides shown at the course
  • The PEST book
  • Other reading material
  • Workshops and tutorials that you can complete in your own time

Course Fee Structure

NOTE: 10% Early Bird Discount extended.  Discount will be applied at checkout.

Register a party of 3 or more from the same organization for an additional 10% discount.   For this discount, contact Chris Muffels at

Five Day Course


Please note: If you are registering for someone other than yourself, please use the "Special Instructions" feature below. Please list the name, email and phone number of the party who will be attending the course.

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Course Location

S.S. Papadopulos's Corporate Office:
1801 Rockville Pike, Suite 220
Rockville, MD 20852

Where to Stay - Hotels

Further Information

For any further technical information on either or both courses, please contact: Chris Muffels at

For any further assistance with logistical questions, please contact: Jennifer Chretien at

Our cancellation policy can be found on our website.