Record Display for the EPA National Library Catalog

RECORD NUMBER: 9 OF 39

OLS Field Name OLS Field Data
Main Title Implementation of the USEPA (United States Environmental Protection Agency) Regional Oxidant Modeling System.
Author Novak, J. H. ;
CORP Author Environmental Sciences Research Lab., Research Triangle Park, NC.
Year Published 1984
Report Number EPA-600/D-84-116;
Stock Number PB84-190529
Additional Subjects Oxidizers ; Mathematical models ; Ozone ; Physical properties ; Chemical properties ; Reaction kinetics ; Meteorology ; Air pollution ; Transport properties ; Regional oxidant modeling system ; Air quality
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB84-190529 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/23/1988
Collation 18p
Abstract
Model design, implementation and quality assurance procedures can have a significant impact on the effectiveness of long term utility of any modeling approach. The Regional Oxidant Modeling System (ROMS) is exceptionally complex because it treats all chemical and physical processes thought to affect ozone concentration on a regional scale. Thus, to effectively illustrate useful design and implementation techniques, this paper describes the general modeling framework which forms the basis of the ROMS. This framework is flexible enough to allow straightforward update or replacement of the chemical kinetics mechanism and/or any theoretical formulations of the physical processes. Use of the Jackson Structured Programming (JSP) method to implement this modeling framework has not only increased programmer productivity and quality of the resulting programs, but also has provided standardized program design, dynamic documentation, and easily maintainable and transportable code. A summary of the JSP method is presented to encourage modelers to pursue this technique in their own model development efforts. In addition, since data preparation is such an integral part of a successful modeling system, the ROMS processor network is described with emphasis on the internal quality control techniques.