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| About site: Environment/Water Resources/Groundwater - PEST Parameter Estimation Groundwater Modeling Workshop |
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| About site: http://www.grac.org/pest.html |
Title: Environment/Water Resources/Groundwater - PEST Parameter Estimation Groundwater Modeling Workshop The Groundwater Resources Association is conducting a workshop "Model Calibration and Predictive Uncertainty Analysis Using PEST" April 19-21, 2004, Santa Ana, CA |
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PEST Parameter Estimation Groundwater Modeling Workshop Course, April 19-21, 2004, Santa Ana, CA
Co-Sponsorsed
By:
S.S.
Papadopulos & Associates, Inc.
CH2M
Hill, Inc.
Principal
Instructor
Dr. John Doherty - Author of
"PEST"
Assistant
Instructor
Matt Tonkin, SS Papadopulos & Associates, Inc.
REGISTER
FOR THIS EVENT
Workshop
Summary
The Groundwater Resources Association (GRA) is conducting
a three-day workshop "Model Calibration and Predictive
Uncertainty Analysis Using PEST" on April 19-21, 2004.
GRA is pleased to announce that the principal instructor
for the workshop is Dr. John Doherty, author of PEST
and Principal of Watermark Numerical Computing; he
will be assisted by Matt Tonkin of SS Papadopulos & Associates,
Inc. The workshop will provide attendees with a foundation
for parameter estimation theory, an understanding of how
the PEST code was developed to apply parameter estimation
theory, and will incorporate extensive demonstrations and
"hands-on" computer lab exercises from a variety of environmental
disciplines, including applications of PEST to groundwater/surface
water modeling.
Parameter Estimation (PEST) is a general-purpose
parameter estimation utility developed by John Doherty of
Watermark Computing. The course will focus upon the use
of PEST, the most advanced available technology for groundwater,
surface water, and all other environmental model calibrations.
Using PEST you can apply state-of-the-art calibration and
predictive uncertainty analysis methods on your everyday
modeling applications. Using PEST you can:
Apply advanced regularization techniques for improved
numerical stability;
Undertake nonlinear predictive uncertainty analysis
of key model outputs;
Simultaneously parameterize one or a number of models
on the basis of multiple datasets including heads, flows
and contaminant concentrations;
Accommodate geological heterogeneity using advanced
spatial parameterization methods;
Combine PEST with the use of stochastic field generation
to explore model parameter uncertainty in heterogeneous
systems;
Use time-series analytical routines to process calibration
data in the surface water modeling context;
Conduct parallel model optimization runs across PC or
UNIX networks;
Convert a MODFLOW-2000 parameter estimation dataset
to a PEST dataset by typing a simple command.
Perhaps the most exciting advance in parameter estimation
technology over the last few years is the combination of
PEST's advanced regularization functionality with the use
of pilot points as a spatial parameterization device. When
employed in regularized parameter estimation, you can use
more pilot points than ever before while maintaining unconditional
numerical stability. This allows vastly improved model parameterization
in complex geological environments where representation
of true or potential heterogeneity may be important, either
for accurate model predictions, or for allowing the uncertainty
of predictions to be fully explored. When used in conjunction
with stochastic field generation to produce a set of calibration-constrained
parameter fields, you will have the ability to use models
in more powerful and informative ways than previously possible.
Optional Additional Day -- Individual Modeling Studies
Contingent upon the level of interest, an additional fourth
day of PEST will be added, devoted to detailed discussion
and demonstration of the use of PEST with attendees particular
projects.
Course Attendee Information
Practitioners from a wide range of experience will benefit
from this course, whether new to PEST, or with previous
PEST experience. To get the most out of the course, attendees
should have some modeling experience, preferably in the
groundwater or surface water disciplines. However, hands-on
labs are GUI-independent, and cover a variety of modeling
disciplines, so that anyone interested in model calibration,
parameter optimization, or the analysis of numerical model
uncertainty could attend.
Program Agenda - Complete
Course Description & Agenda >>
Monday,
April 19, 2004
Day 1: Morning
Lecture
- Introduction to non-linear parameter estimation: mathematical
theory, development, and integration with models
Lab
- Hands-on exercise calibrating a basic unsaturated zone/storage
model
Day 1: Afternoon
Lecture
- Fundamentals of PEST - the implementation of nonlinear
parameter estimation theory within PEST
Tuesday, April
20, 2004
Day 2: Morning
Lecture
- The use of PEST in the groundwater modeling context
- flow and transport
Lab
- Hands-on exercise - choice of prepared case studies
for groundwater and surface modeling, or attendees' own
studies
Day 2: Afternoon
Lecture
- Sensitivity analysis, predictive uncertainty analysis,
model complexity, and introduction to pilot points
Lab
- Choice of hands-on problems including surface and groundwater,
forestry, unsaturated zone, etc.
Wednesday,
April 21, 2004
Day
3: Morning
Lecture
- Use of pilot points in spatial model calibration and
uncertainty analysis
Lab
- Hands-on exercise - choice of prepared case studies
for groundwater and surface water modeling, or attendees'
own studies
Day
3: Afternoon
Lecture - The
use of PEST in the surface water modeling context, focusing
on HSPF and SWWM, and time-series data processing in surface
water model calibration.
Lab - Choice
of hands-on problems including surface and groundwater,
forestry, unsaturated zone, etc.
Thursday,
April 22, 2004 - Optional Additional Day for Individual
Modeling Studies
Contingent upon the
level of interest, an additional fourth day of PEST will
be added, devoted to detailed discussion and demonstration
of the use of PEST with attendees' particular projects.
Optional
Evening Sessions
Optional sessions each
evening. Exercises and instructor-attendee interaction
typically as long as attendees want.
Course Location
The Santa Ana Offices of CH2M Hill
3 Hutton Centre Drive, Suite 200 Santa Ana, CA 92707
Directions
to the course location from John Wayne Airport Orange County
>>
Accommodations
DoubleTree Hotel Santa Ana/Orange County
Airport
201 East MacArthur Boulevard, Santa Ana, CA 92707
Tel: 1-714-825-3333 ; Fax: 1-714-825-3320
Directions
to the hotel from John Wayne Airport Orange County >>
Rate - $82.00 per night special rate extended to all class
attendees
who indicate they are attending the "PEST Course at CH2M
Hill Offices". Hotel is walking distance from the location
of the course.
Registration
Fees (prices assume laptop provided by attendee)
$1000 GRA member, $1175 Private / non-member,
$1065 Registration plus GRA Membership, $750 Full time student
or state employee.
Registration
Options
Secure
Online Registration Form
(Credit
Card)
Printable
Registration Form (PDF File) ~ Mail or Fax
(Check
or Credit Card)
Additional Information
Go to http://www.sspa.com/pest
for more information on PEST, together with the latest version
available for download. Contact Mathew Tonkin at pest@sspa.com
for information about the course content. For all other
information, contact Mary Megarry at mmegarry@nossaman.com
or 916-446-3625.
915
L St, Ste 1000 * Sacramento, CA 95814 * Ph 916-446-3626 * Fx 916-442-0382
Mission
& Objectives
| Directors
& Officers | Support
GRA | Resources
| Events
Literature
| Branches
| Annual
Awards | Member
Links | Contact/Feedback
| Home
www.grac.org,
©
Copyright 2002, Groundwater Resources Association of California
Please
address questions about this site to the GRA
web manager
|
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The | Groundwater | Resources | Association | is | conducting | a | workshop | "Model | Calibration | and | Predictive | Uncertainty | Analysis | Using | PEST" | April | 19-21, | 2004, | Santa | Ana, | CA | |
http://www.grac.org/pest.html
PEST Parameter Estimation Groundwater Modeling Workshop 2008 November
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The Groundwater Resources Association is conducting a workshop "Model Calibration and Predictive Uncertainty Analysis Using PEST" April 19-21, 2004, Santa Ana, CA
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