Central California Ozone Study (CCOS) - Desert Research Institute
Central California Ozone Study (CCOS) - Desert Research Institute
Central California Ozone Study (CCOS) - Desert Research Institute
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<strong>CCOS</strong> Field Operations Plan Version 2: 5/31/00<br />
7.1.12 Data Analysis and Modeling Investigators<br />
Data analysis and modeling investigators will use the integrated data set to perform Level<br />
2 and Level 3 data validation, to further answer the questions posed in Section 3, and to develop,<br />
evaluate, and apply source and receptor models. Several of the data analysis activities,<br />
especially those involved with determining Level 2 validation status of measurements and<br />
descriptive analysis of the measurements, are best performed by the measurement investigators.<br />
Specifically, data analysis and modeling investigators will:<br />
• Evaluate the consistency of measurements, i.e. Level 2 validation.<br />
• Describe statistical, temporal, and spatial distributions of measurements on average and<br />
during episodes.<br />
• Interpret data to address data analysis objectives specified in Section 1.2.<br />
• Recommend revisions to the conceptual models in Section 3 of the Field <strong>Study</strong> Plan<br />
(Fujita et al., 1999), elaborating on the dominance and validity of chemical and physical<br />
mechanisms and the importance of different pollution sources.<br />
• Use field measurements in meteorological and air quality source and receptor models to<br />
evaluate the extent to which they represent the identified mechanisms and emissions.<br />
• Use field measurements to establish base cases for several different episodes of<br />
maximum concentration to evaluate the effects of different emissions reduction<br />
strategies.<br />
• Identify data deficiencies and initiate Level 3 validation checks and corrections with the<br />
data manager.<br />
• Select the most suitable modeling systems (for meteorology, emissions, and air quality)<br />
for representing photochemical air pollution in central and northern <strong>California</strong>.<br />
• Specify model domain boundaries, boundary conditions, initial conditions, chemical<br />
mechanisms, aerosol module, plume-in-grid module, grid sizes, layers, and surface<br />
characteristics.<br />
• Identify performance evaluation methods and performance measures, and specify<br />
methods by which these will be applied.<br />
• Evaluate the results of the meteorological model.<br />
• Perform operational evaluation of the air quality model.<br />
• Evaluate and improve the performance of emissions, meteorological, and air quality<br />
simulations. Apply simulation methods to estimate ozone concentrations at receptor sites<br />
and to test potential emissions reduction strategies.<br />
Chapter 7: MANAGEMENT, SCHEDULE, AND BUDGET 7-7