You are here:
OPTIMIZING AN AIR QUALITY MODEL'S ALGORITHMS FOR THE CRAY Y-MP AND THE MASPAR MP-1
Citation:
Young, J.O. OPTIMIZING AN AIR QUALITY MODEL'S ALGORITHMS FOR THE CRAY Y-MP AND THE MASPAR MP-1. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/A-94/177 (NTIS PB95124780).
Description:
The Regional Oxidant Model (ROM) has been developed and enhanced over the past decade by the U.S. Environmental Protection Agency (EPA) in response to the need for an appropriate simulation modal capable of simulating multi-day chemical effects and the long-range transport of ozone and its precursors. he main purpose of the model is to test the effectiveness of emission control strategies on regional and urban ozone concentrations. he complete ROM system is comprised of a data preparation group of preprocessors, a model input processor network, the core model, a file database system, and a VAX-based processor operating system that helps to automate the preparation and quality assurance of the core model input data. he input processor network computes meteorological data, emissions fluxes, initial conditions and boundary conditions data. n addition, there exists a large amount of analysis and graphical software that supports quality assurance and model analysis functions. he EPA currently uses ROM2.2 to address many issues related to the 1990 revisions of the Clean Air Act with different modeling regions including the SUPROXA domain that is essentially the eastern half of the U.S. and southeast Canada. he large file sizes and amount of processing creates a proportionately large demand for model throughput and other computational resources, resulting in a critical need to have an optimized version of the core model on a high performance platform. his paper discusses efforts in optimizing the ROM core model on the Cray Y-MP and subsequently on the MasPar MP-1.