You are here:
EPA THIRD-GENERATION AIR QUALITY MODELING SYSTEM - VOLUME 1: CONCEPT
Citation:
Novak, J.H., R. Dennis, D.W. Byun, J. Pleim, K. Galluppi, C. Coats, S. Chall, AND M. Vouk. EPA THIRD-GENERATION AIR QUALITY MODELING SYSTEM - VOLUME 1: CONCEPT. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/R-95/082a.
Description:
A flexible environmental modeling and decision support system is being developed by the Office of Research and Development as part of EPA's High Performance Computing and Communications (HPCC) program. his report is Volume 1 of a multiple volume sat describing the development process and scientific and technical details of the system known as Models-3. his volume describe's the needs driving the development of the system and provides a conceptual overview of system capabilities, user characteristics, and operating environment. he initial development efforts are focused on multi-scale, multi-pollutant air quality modeling related to ozone non-attainment, acid deposition, visibility and fine particulates. owever since many of the fundamental technology and science issues being addressed are directly applicable to other environmental modeling domains, the long term goal is to extend the system to handle integrated cross-media assessments and to serve as a platform for community development of complex environmental models. he initial operational version of Models-3 will provide air quality assessment and decision support tools for direct use by regulatory analysts and scientists for a wide variety of research and applications. he Models-3 framework provides the interface between the user, the science, the hardware and software, thus enhancing the user's ability to analyze and resolve complex air quality issues. he Models-3 system will serve as a user friendly extensible technology foundation to facilitate rapid incorporation of emerging high performance computing and communications technology into its framework, and the constant evolution of the scientific underpinnings of environmental models, as well as the evolution of approaches to modeling.