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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

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