Staff of SSP&A provide training in the appropriate application of programs in support of environmental and water resource studies, often in collaboration with other subject-area experts. Further information on planned training events can be found below.
Training
Calibration and Uncertainty Analysis for Environmental Models
Maryland, TBD Fall 2020
Due to scheduling conflicts with the Darcy lecture, we are no longer offering this course in October, and have tenatively planned to offer it in the Fall of 2020. To learn more about the course or to sign up to receive updates when the course will be offered, see below.
Courses in model calibration, model uncertainty analysis, and the application of the program PEST are presented by the author of PEST, Dr. John Doherty, throughout the world. Multi-day courses have a strong practical aspect, where participants are guided through exercises designed to illustrate important facets of model calibration, experimental design, and predictive analysis. At these courses, participants are also encouraged to bring their own models to investigate the use of PEST. One-day workshops are occasionally presented that serve to introduce attendees to the theory and application of inverse modeling.
PEST_HP and PEST.cloud
Calibrate your model on the Microsoft Azure cloud using PEST_HP.
A version of PEST optimised for use in highly parallelized environments.
Cancellation Policy for Courses and Conferences
SSP&A attempts to keep course and conference fees as affordable as possible to encourage attendance from all walks of life, including academia and other groups with limited training budgets. As a result, course and conference fees do not include overhead costs to cover unexpected cancellations and the associated fees. The following policy is used to accommodate cancellations and associated fees in the absence of any mitigating circumstances. Please contact jbailey@sspa.com if your circumstances warrant further consideration.
- $50 dollars to cover all payment processing fees prior to 8 weeks of the event
- 15% deduction for cancellation prior to 28 days of the event
- 50% deduction for cancellation prior to 14 days of the event
- 100% deduction for cancellation within 7 days of the event