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Modeling the Long-Term Frequency Distribution of Regional Ozone Concentrations Using Synthetic Meteorology

Winner, Darrell A. and Cass, Glen R. (2001) Modeling the Long-Term Frequency Distribution of Regional Ozone Concentrations Using Synthetic Meteorology. Environmental Science and Technology, 35 (18). pp. 3718-3726. ISSN 0013-936X. https://resolver.caltech.edu/CaltechAUTHORS:20160607-145727928

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Abstract

A new method is developed to generate the meteorological input fields required for use with photochemical airshed models that seek to predict the effect of pollutant emissions on the long-term frequency distribution of peak O_3 concentrations. Instead of using meteorological fields derived from interpolation of direct weather observations, this method uses synthetically generated meteorological data. These synthetic meteorological fields are created by first constructing a semi-Markov process that generates a time series of large-scale synoptic weather conditions that statistically resemble the occurrence and persistence of synoptic weather patterns during specific months of the year. Then for each day within each synoptic weather category, local weather variables indicative of the meteorological potential for ozone formation are drawn from the approximated joint distribution of the summation of three pressure gradients across the airshed and the 850 mb temperature measured in the early morning. The synthetic initial conditions are combined with boundary values that are extracted from historical days that match the chosen synoptic class, temperature, and pressure gradient values as closely as possible for use in a prognostic mesoscale meteorological model. The prognostic mesoscale meteorological model generates the meteorological input fields necessary for the photochemical airshed model. The airshed model driven by synthetically generated meteorological data is executed for a 31 day period that statistically resembles weather during the month of August in Southern California using pollutant emissions data from the year 1987. The procedure produced a frequency of occurrence of peak 8 h average ozone concentrations that compared well both to that produced by the deterministic model as well as to the O_3 concentrations observed over the August months of the years 1984−1990.


Item Type:Article
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http://dx.doi.org/10.1021/es001714cDOIArticle
http://pubs.acs.org/doi/abs/10.1021/es001714cPublisherArticle
Additional Information:© 2001 American Chemical Society. Received for review September 28, 2000. Revised manuscript received May 30, 2001. Accepted June 13, 2001. Mark Leidner of AER provided invaluable help in using MM5. Professor Bob Davies of the University of Virginia provided essential details regarding synoptic climatology classification. Scott Webber of the University of Delaware furnished the code for Spheremap. The Caltech Center for Air Quality Analysis and the Palace Knight program of the U.S. Air Force providing funding for this research. Acknowledgment is made to the National Center for Atmospheric Research, which is sponsored by the National Science Foundation, for the computing time used in this research. The views expressed are those of the authors and do not necessarily represent those of the U.S. EPA.
Funders:
Funding AgencyGrant Number
Caltech Center for Air Quality AnalysisUNSPECIFIED
Palace Knight Program of the U. S. Air ForceUNSPECIFIED
NSFUNSPECIFIED
Issue or Number:18
Record Number:CaltechAUTHORS:20160607-145727928
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160607-145727928
Official Citation:Modeling the Long-Term Frequency Distribution of Regional Ozone Concentrations Using Synthetic Meteorology Darrell A. Winner and Glen R. Cass Environmental Science & Technology 2001 35 (18), 3718-3726 DOI: 10.1021/es001714c
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:67752
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:08 Jun 2016 17:14
Last Modified:03 Oct 2019 10:08

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