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

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Figure C‐ ‐12. Global model perfoormance<br />

staatistics<br />

for thhe<br />

CAMx CTTEX3<br />

sensitivvity<br />

tests usiing<br />

<strong>the</strong> PiG ssubgrid‐scale<br />

e puff moduule.<br />

C.3.4.1 EEFFECT<br />

OF PIG P ON MODDEL<br />

PERFORMMANCE<br />

The effecct<br />

<strong>of</strong> using th he PiG moduule<br />

versus NooPiG<br />

results in similar reesults<br />

as seen<br />

in <strong>the</strong> ETEEX<br />

experimeents<br />

for CAM Mx; use <strong>of</strong> thhe<br />

subgrid‐sccale<br />

PiG moddule<br />

has veryy<br />

little effectt<br />

on <strong>the</strong> CAMMx<br />

model peerformance<br />

<strong>and</strong> <strong>the</strong> rankings<br />

<strong>of</strong> <strong>the</strong> CAMx modeel<br />

performannce<br />

using <strong>the</strong><br />

alternativee<br />

vertical mmixing<br />

<strong>and</strong> horizontal h addvection<br />

appproaches.<br />

In general, it aappears<br />

thatt<br />

<strong>the</strong> CAMx<br />

model peerformance<br />

without <strong>the</strong> PiG is perfoorming<br />

slighttly<br />

better thaan<br />

its perforrmance<br />

using<br />

<strong>the</strong><br />

PiG.<br />

The spatial<br />

performa ance statisticcs<br />

are somettimes<br />

improved<br />

<strong>and</strong> sommetimes<br />

deggraded<br />

whenn<br />

<strong>the</strong><br />

PiG moduule<br />

is invoke ed. For <strong>the</strong> gglobal<br />

statisttics,<br />

<strong>the</strong> PCCC<br />

performancce<br />

statistic iss<br />

degraded bby<br />

‐<br />

11% to ‐337%<br />

(‐0.03 to o ‐0.13 points)<br />

when <strong>the</strong>e<br />

PiG module<br />

is invoked.<br />

Similarly, use <strong>of</strong> <strong>the</strong> PiG<br />

versus NooPiG<br />

module e increases ( (degrades) <strong>the</strong><br />

FB metricc<br />

by 5 to 18 percent <strong>and</strong>d<br />

also increases<br />

(degradees)<br />

<strong>the</strong> NMSE E metrics forr<br />

all model cconfigurationns.<br />

Table C‐22<br />

summarize es <strong>the</strong> RANK model perfoormance<br />

staatistic<br />

for <strong>the</strong>e<br />

different CCAMx<br />

model<br />

configuraations<br />

with <strong>and</strong> a without <strong>the</strong> PiG module.<br />

For eaach<br />

model veertical<br />

diffussion/horizonntal<br />

advection<br />

configurat tion, using thhe<br />

PiG moduule<br />

always reesults<br />

in slighhtly<br />

lower RANK<br />

statisticcs<br />

that are ffrom<br />

‐3.9% to t ‐8.5% lowwer<br />

than wheen<br />

<strong>the</strong> PiG mmodule<br />

is nott<br />

used.<br />

15

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