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

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

20.04.2013 Views

The global model statistics for the CALPUFF puff splitting sensitivity tests are shown in Figure 6‐ 20, with Figures 6‐21a and 6‐21b displays statistics where the best performing model configuration has the lowest and highest score, respectively. The puff splitting sensitivity tests have a very small effect on the CALPUFF model performance. Again, the biggest effect on CALPUFF performance of all the puff splitting parameters comes from changing ROLD from 0.25 to 0.50, which appears to slightly degrade most CALPUFF model performance metrics with the exception of bias and error that are improved. Again, in terms of the CALPUFF global model performance versus other four LRT dispersion models (Figures 6‐9 through 6‐15), the CALPUFF puff splitting sensitivity tests are exhibiting by far the worst model performance. For example, the RANK model performance statistic varies from 0.6 to 0.7 across the CALPUFF puff splitting sensitivity tests as compared to much higher values for CAMx (1.9), SCIPUFF (1.8), HYPLIT (1.8) and FLEXPART (1.0). ‐28% ‐32% ‐36% ‐40% 1.5 1.49 1.48 1.47 1.46 1.45 1.44 1.43 1.42 1.41 1.4 NOSPLIT NOSPLIT Factor of Exceedance (FOEX) (Perfect = 0%) DEFAULT DEFAULT ALLHRS CNSMIN ZISPLIT Fractional Bias (FB) (Perfect = 0) ALLHRS CNSMIN ZISPLIT ROLD ROLD SYS SYS SYSROLD SYSROLD Figure 6‐21a. Global model performance statistics for the CALPUFF puff splitting sensitivity tests. 133 340 330 320 310 300 290 280 270 82 80 78 76 74 72 70 NOSPLIT NOSPLIT Normalized Mean Square Error (NMSE) (Perfect = 0) DEFAULT ALLHRS CNSMIN ZISPLIT ROLD SYS Kolmogorov‐Smirnov Parameter (KSP) (Perfect = 0%) DEFAULT ALLHRS CNSMIN ZISPLIT ROLD SYS SYSROLD SYSROLD

0.2 0.18 0.16 0.14 0.12 0.1 0.08 0.06 0.04 0.02 0 1.5% 1.0% 0.5% 0.0% NOSPLIT NOSPLIT DEFAULT Factor of 2 (FA2) (Perfect = 100%) ALLHRS CNSMIN ZISPLIT ROLD SYS Pearson's Correlation Coefficient (PCC) (Perfect = 1) DEFAULT ALLHRS CNSMIN ZISPLIT ROLD SYS SYSROLD SYSROLD Figure 6‐21b. Global model performance statistics for the CALPUFF puff splitting sensitivity tests. In conclusion, the CALPUFF puff splitting sensitivity tests did not have any significant effect on CALPUFF model performance. Whether puff splitting was used or not produced essentially identical model performance for the ETEX experiment and certainly did not improve the CALPUFF model performance. 6.4.5 HYSPLIT Sensitivity Tests HYSPLIT is unique among the models analyzed in this project in that its configuration is highly flexible, allowing for treatment of atmospheric dispersion purely as a Lagrangian particle model (default configuration), puff‐particle hybrid model, or purely as a puff model. Nine sensitivity analyses were conducted against the ETEX database to provide information about the various configurations of HYSPLIT, but more importantly to provide additional information regarding the two distinct classes (puff and particle) of Lagrangian models evaluated as part of this project. Model configuration (puff, particle, puff‐particle hybrid) are governed through the HYSPLIT parameter INITD. A description of the INITD variable options is provided in Table 6‐4. 134 4.0% 3.0% 2.0% 1.0% 0.0% NOSPLIT 0.7 0.68 0.66 0.64 0.62 0.6 0.58 0.56 NOSPLIT DEFAULT DEFAULT Factor of 5 (FA5) (Perfect = 100%) ALLHRS ALLHRS CNSMIN Rank (RANK) (Perfect = 4) CNSMIN ZISPLIT ZISPLIT ROLD ROLD SYS SYS SYSROLD SYSROLD

The global model statistics for <strong>the</strong> <strong>CALPUFF</strong> puff splitting sensitivity tests are shown in Figure 6‐<br />

20, with Figures 6‐21a <strong>and</strong> 6‐21b displays statistics where <strong>the</strong> best performing model<br />

configuration has <strong>the</strong> lowest <strong>and</strong> highest score, respectively. The puff splitting sensitivity tests<br />

have a very small effect on <strong>the</strong> <strong>CALPUFF</strong> model performance. Again, <strong>the</strong> biggest effect on<br />

<strong>CALPUFF</strong> performance <strong>of</strong> all <strong>the</strong> puff splitting parameters comes from changing ROLD from 0.25<br />

to 0.50, which appears to slightly degrade most <strong>CALPUFF</strong> model performance metrics with <strong>the</strong><br />

exception <strong>of</strong> bias <strong>and</strong> error that are improved. Again, in terms <strong>of</strong> <strong>the</strong> <strong>CALPUFF</strong> global model<br />

performance versus o<strong>the</strong>r four LRT dispersion models (Figures 6‐9 through 6‐15), <strong>the</strong> <strong>CALPUFF</strong><br />

puff splitting sensitivity tests are exhibiting by far <strong>the</strong> worst model performance. For example,<br />

<strong>the</strong> RANK model performance statistic varies from 0.6 to 0.7 across <strong>the</strong> <strong>CALPUFF</strong> puff splitting<br />

sensitivity tests as compared to much higher values for CAMx (1.9), SCIPUFF (1.8), HYPLIT (1.8)<br />

<strong>and</strong> FLEXPART (1.0).<br />

‐28%<br />

‐32%<br />

‐36%<br />

‐40%<br />

1.5<br />

1.49<br />

1.48<br />

1.47<br />

1.46<br />

1.45<br />

1.44<br />

1.43<br />

1.42<br />

1.41<br />

1.4<br />

NOSPLIT<br />

NOSPLIT<br />

Factor <strong>of</strong> Exceedance (FOEX)<br />

(Perfect = 0%)<br />

DEFAULT<br />

DEFAULT<br />

ALLHRS<br />

CNSMIN<br />

ZISPLIT<br />

Fractional Bias (FB)<br />

(Perfect = 0)<br />

ALLHRS<br />

CNSMIN<br />

ZISPLIT<br />

ROLD<br />

ROLD<br />

SYS<br />

SYS<br />

SYSROLD<br />

SYSROLD<br />

Figure 6‐21a. Global model performance statistics for <strong>the</strong> <strong>CALPUFF</strong> puff splitting sensitivity<br />

tests.<br />

133<br />

340<br />

330<br />

320<br />

310<br />

300<br />

290<br />

280<br />

270<br />

82<br />

80<br />

78<br />

76<br />

74<br />

72<br />

70<br />

NOSPLIT<br />

NOSPLIT<br />

Normalized Mean Square Error (NMSE)<br />

(Perfect = 0)<br />

DEFAULT<br />

ALLHRS<br />

CNSMIN<br />

ZISPLIT<br />

ROLD<br />

SYS<br />

Kolmogorov‐Smirnov Parameter (KSP)<br />

(Perfect = 0%)<br />

DEFAULT<br />

ALLHRS<br />

CNSMIN<br />

ZISPLIT<br />

ROLD<br />

SYS<br />

SYSROLD<br />

SYSROLD

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