Comparative evaluation of the MM5 and RAMS prognostic meteorological models for two Lake Michigan Ozone Study (LMOS) episodes
- Alpine Geophysics, Golden, CO (United States)
- Alpine Geophysics, Covington, KY (United States)
The Ozone Transport Assessment Group (OTAG) is now applying regional-scale meteorological and photochemical models to estimate the VOC and NOx emissions reductions needed to bring the numerous ozone nonattainment areas in the eastern U.S. into attainment with the federal ozone standard. A key scientific issue is the determination of the extent of ozone and precursor transport from one nonattainment region to another. To address this problem, the Colorado State University RAMS model has been adopted by OTAG to supply meteorological inputs to regional photochemical air quality model. While RAMS has been shown to perform well using data sets from two ozone episodes over the Lake Michigan Region, its performance capabilities have, as yet, not been compared directly with publicly available prognostic meteorological models over the same eastern U.S. study area. This paper presents a comparative evaluation of the RAMS and NCAR/PSU MM5 meteorological models for two high-resolution data bases developed by the Lake Michigan Ozone Study (LMOS): 24-26 June 1991 and 17-19 July 1991. The purpose is to compare and contrast the two model`s abilities to reproduce observed surface and aloft wind speed, wind direction, temperature and moisture fields during these multi-day episode periods. Our comparative model performance evaluation of the RAMS and MM5 models includes the calculation and presentation of traditional performance statistics such as model bias, gross error, index of agreement, correlation and estimation of RMSE errors for the key meteorological parameters of interest. Graphical displays are presented to compare and contrast the modeled and observed surface and aloft meteorological fields. In addition, surface and upper level multiple-day trajectory calculations are presented to show the uncertainty that currently exists in using state-of-science meteorological and photochemical models to identify the source regions causing downwind ozone nonattainment problems.
- OSTI ID:
- 466271
- Report Number(s):
- CONF-9606185--
- Country of Publication:
- United States
- Language:
- English
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