UCODE

UCODE_2014
and Auxiliary Computer Codes
for Universal Sensitivity Analysis,
Calibration, and Uncertainty Evaluation

UCODE_2014 completely supersedes UCODE_2005 and is
backward compatible with UCODE_2005
 

UCODE_2014 is documented using two reports: the
documentation for UCODE_2005 and a new report for UCODE_2014

 

Constructed
using the JUPITER API
JUPITER: Joint Universal Parameter IdenTification and Evaluation of
Reliability
API: Application Programming Interface


Information

Summary of UCODE_2014
(includes version
history)



 

UCODE_2014
Manual
 
The
UCODE_2014 manual is INCLUDED in the DOWNLOAD BELOW, but is offered
here individually for convenient individual download:
 Poeter,
Eileen P., Mary C. Hill, Dan Lu, Claire R. Tiedeman, and Steffen Mehl,
2014, UCODE_2014, with new capabilities to define parameters unique to
predictions, calculate weights using simulated values, estimate
parameters with SVD, evaluate uncertainty with MCMC, and More:
Integrated Groundwater Modeling Center Report Number: GWMI 2014-02.

UCODE_2005
Manual

– The
UCODE_2005 manual is INCLUDED in the DOWNLOAD BELOW, but is offered
here individually for convenient individual download:
Poeter, E.P.,
Hill, M.C.,
Banta, E.R., Mehl, Steffen, and Christensen, Steen, 2005, UCODE_2005
and Six Other Computer Codes for Universal Sensitivity Analysis,
Calibration, and Uncertainty Evaluation: U.S. Geological Survey
Techniques and Methods 6-A11, 283p.
 As updated in Feb 2008.

The
UCODE_2014 and UCODE_2005
documentation refers
to Hill and
Tiedeman (2007) in many places.
The publication is now available as:


Effective Groundwater Model Calibration:
With
Analysis of Data, Sensitivities, Predictions, and Uncertainty
     Mary
C. Hill and Claire R. Tiedeman, 2007, Wiley.

Supporting information for the book is available at: http://wwwbrr.cr.usgs.gov/projects/GW_ModUncert/hill_tiedeman_book/

Information on
purchasing the book is available at: http://www.wiley.com/WileyCDA/WileyTitle/productCd-047177636X.html

 



DOWNLOAD
UCODE_2014 version 1.004
along with OPR-PPR, MMA, and SIM-Adjust
(for
installation instructions see readme_ucode_2014.txt

  • DOWNLOAD
    WINDOWS/DOS
    Version
    self-extracting zip file ucode_2014_1.004.exe
    with executables
    for a PC, source and test files:
    place in root directory and extract, directory wrdapp/ucode_2014_1.004
    will be created if it does not yet exist
This distribution of UCODE_2014
includes three programs often used with UCODEOPR-PPR calculates measures of data importance to model predictions.
The quantities evaluated are observations (targets) and parameters from
model development.
Thus, OPR-PPR provides statistics that quantify the link between
observations and predictions (the statistic
is called OPR) and the link between parameters and predictions (the
statistic is called PPR).MMA supports the use of multiple alternative models. The models may
differ in the included processes,
parameterization methods, and in other ways. All models need to be
evaluated using the same set of observations.SIM_Adjust allows the user to manage circumstances in which the
simulated equivalent for one or mode observations
is not produced. The user can define an alternate simulated value or
constant to be used instead.
  • DOWNLOAD UNIX
    tar-gzip file (source and test cases only) : ucode_2014_1.004.tgz

    The Unix version of UCODE is currently unavailable. Please check back soon!

(Questions
about,
or problems with, UCODE_2014? Contact Eileen Poeter)
epoeter@mines.edu

USEFUL
RELATED CODES

GW_Chart A
GUI for viewing UCODE output to data-exchange files


ModelMate A
GUI to facilitate model analysis
by software applications that invoke model simulations as external
processes. This initial version supports ucode_2005 and MODFLOW-2005


OPR-PPR A
Computer Program
for Assessing Data Importance to Model Predictions Using Linear
Statistics


SIM_ADJUST A
Computer Code that
Adjusts Simulated Equivalents for Observations


MMA A
Computer Code for
Multi-Model Analysis

Jupiter API
The JUPITER API
provides resources for programming applications (computer programs)
designed to analyze process models.