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Documentation of the Evaluation of CALPUFF and Other Long ...

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Figure 6‐3a. Distribution <strong>of</strong> <strong>the</strong> observed PMCH tracer concentrations (pgm ‐3 ) 24 (top right),<br />

36 (top right), 48 (bottom left) <strong>and</strong> 60 (bottom right) hours after <strong>the</strong> release.<br />

6.2 MODEL CONFIGURATION AND APPLICATION<br />

6.2.1 Experimental Design<br />

The objectives <strong>of</strong> <strong>the</strong> LRT model evaluation using <strong>the</strong> ETEX field study database was somewhat<br />

different than <strong>the</strong> o<strong>the</strong>r three tracer test evaluations. In <strong>the</strong> GP80, SRL75 <strong>and</strong> CAPTEX tracer<br />

test LRT model evaluations, one major objective was an evaluation <strong>of</strong> <strong>the</strong> <strong>CALPUFF</strong> LRT<br />

dispersion model using two different sets <strong>of</strong> meteorological inputs, one based on <strong>the</strong> CALMET<br />

diagnostic wind model <strong>and</strong> <strong>the</strong> o<strong>the</strong>r using <strong>the</strong> MMIF WRF/MM5 pass‐through tool. However,<br />

in <strong>the</strong> ETEX LRT model tracer test evaluation an objective was to use <strong>the</strong> same meteorological<br />

inputs in all <strong>of</strong> <strong>the</strong> LRT dispersion models. This approach is similar to <strong>the</strong> one taken by Chang<br />

<strong>and</strong> co‐workers (2003) who conducted an evaluation <strong>of</strong> three Lagrangian puff models<br />

(HPAC/SCIPUFF, VLSTRACK, <strong>and</strong> CALMET/<strong>CALPUFF</strong>). While all three puff models are based on a<br />

Gaussian puff formulation, <strong>the</strong>se models varied significantly in terms <strong>of</strong> <strong>the</strong> level <strong>of</strong><br />

sophistication <strong>of</strong> <strong>the</strong>ir technical formulation. Chang <strong>and</strong> co‐workers (2003) proposed a<br />

framework to perform an objective <strong>and</strong> meaningful evaluation when such models vary<br />

significantly in <strong>the</strong>ir formulation. A primary focus <strong>of</strong> <strong>the</strong>ir model evaluation framework<br />

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