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6.4.1.1 Spatial Analysis <strong>of</strong> Model Performance<br />

Four spatial analysis model performance statics have been identified <strong>and</strong> are discussed in this<br />

section: FMS, FAR, POD <strong>and</strong> TS. Figure 6‐5 displays <strong>the</strong> FMS spatial analysis performance<br />

metrics for <strong>the</strong> five LRT models <strong>and</strong> <strong>the</strong> ETEX tracer study field experiment. Recall that <strong>the</strong> FMS<br />

statistic is define as <strong>the</strong> overlap divided by <strong>the</strong> union <strong>of</strong> <strong>the</strong> predicted <strong>and</strong> observed tracer<br />

clouds with a perfect model receiving an FMS score <strong>of</strong> 100%.<br />

60%<br />

50%<br />

40%<br />

30%<br />

20%<br />

10%<br />

0%<br />

Figure <strong>of</strong> Metric in Space (FMS)<br />

(Perfect = 100%)<br />

<strong>CALPUFF</strong> SCIPUFF HYSPLIT FLEXPART CAMx<br />

Figure 6‐5. Figure <strong>of</strong> Merit in Space (FMS) statistical performance metric for <strong>the</strong> five LRT<br />

models <strong>and</strong> <strong>the</strong> ETEX tracer field experiment.<br />

Figure 6‐6 displays <strong>the</strong> False Alarm Rate (FAR) performance metrics. The FAR metric is defined<br />

by <strong>the</strong> number <strong>of</strong> times that a tracer concentration was predicted to occur at a monitor‐time<br />

when no tracer was observed (i.e., a miss) divided by <strong>the</strong> number <strong>of</strong> times a tracer was<br />

predicted to occur at a monitor‐time (i.e., sum <strong>of</strong> misses <strong>and</strong> hits); a perfect model (i.e., one<br />

that had no misses) would have a FAR score <strong>of</strong> 0%.<br />

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