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Alternative small scale meteorology input to a chemical transport ...

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ABSTRACT<br />

<strong>Alternative</strong> Small Scale Meteorology Input <strong>to</strong> a Chemical Transport Model<br />

Krassimira Lazarova<br />

Dr. Carl Kreitzberg Supervisor<br />

In order <strong>to</strong> respond <strong>to</strong> the increasing demand for better understanding of the<br />

environment, air quality studies at different <strong>scale</strong>s are required. The Community Multi-<strong>scale</strong> Air<br />

Quality Model (CMAQ) <strong>chemical</strong> <strong>transport</strong> model is designed <strong>to</strong> handle all major <strong>scale</strong>s of<br />

interest. However, the <strong>meteorology</strong> <strong>input</strong> <strong>to</strong> the model has <strong>to</strong> represent adequately the<br />

atmospheric conditions at these <strong>scale</strong>s. So far, the meteorological <strong>input</strong> <strong>to</strong> CMAQ has been<br />

supplied by the Fifth-Generation Pennsylvania State University / National Center for<br />

Atmospheric Research (NCAR) Meso<strong>scale</strong> Model (MM5).<br />

This research suggests another way <strong>to</strong> obtain <strong>small</strong> <strong>scale</strong> meteorological data from<br />

coarse resolution MM5 data instead of further running MM5 at fine resolution - a “prognostic-<br />

diagnostic mix” approach. We propose <strong>to</strong> use a diagnostic model <strong>to</strong> supply the meteorological<br />

data from coarse resolution MM5 data. The challenges of the linking process as well as air<br />

quality results from CMAQ are investigated. A proof of concept is presented.<br />

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