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JUPITER PROJECT - MERGING INVERSE PROBLEM FORMULATION TECHNOLOGIES
Citation:
Poeter, E., J E. Babendreier, M. Hill, J. Doherty, AND E. R. Banta. JUPITER PROJECT - MERGING INVERSE PROBLEM FORMULATION TECHNOLOGIES. Presented at International Workshop on Uncertainty, Sensitivity, and Parameter Estimation for Multimedia Environmental Modeling, Rockville, MD, August 19-21, 2003.
Impact/Purpose:
The primary goals are to: (1) Construct a 400-node PC-based supercomputing cluster supporting Windows and Linux computer operating systems (i.e. SuperMUSE: Supercomputer for Model Uncertainty and Sensitivity Evaluation); (2) Develop platform-independent system software for the management of SuperMUSE and parallelization of EPA models and modeling systems for implementation on SuperMUSE (and other PC-based clusters); (3) Conduct uncertainty and sensitivity analyses of the 3MRA modeling system; (4) Develop advanced algorithmic software for advanced statistical sampling methods, and screening, localized, and global sensitivity analyses; and (5) Provide customer-oriented model applications for probabilistic risk assessment supporting quality assurance in multimedia decision-making.
Description:
The JUPITER (Joint Universal Parameter IdenTification and Evaluation of Reliability) project seeks to enhance and build on the technology and momentum behind two of the most popular sensitivity analysis, data assessment, calibration, and uncertainty analysis programs used in environmental applications: PEST (Doherty, 1994, 2002) and UCODE (Poeter and Hill, 1998). These programs are universal in that they can be applied to any computer model; both have very flexible methods for interacting with application models through ASCII files. PEST and UCODE have enjoyed substantial success. Their future, however, depends on their transition into a well-designed, flexible Application Programming Interface (API) that will support new ways of interacting with application models and new, sophisticated capabilities. Much of the technology incorporated in UCODE and PEST has been investigated thoroughly enough that its strengths, weaknesses, and advantageous uses are fairly well known. The frontier of model calibration and associated analysis methods includes pursuits that will benefit from a stable, modularly programmed, full-featured, well-designed, thoroughly documented foundation. JUPITER will provide that foundation for the PEST and UCODE developers, the work of our contemporaries and, we hope, the work of coming generations