Volume 1 - The Atmospheric Studies Group at TRC

Volume 1 - The Atmospheric Studies Group at TRC Volume 1 - The Atmospheric Studies Group at TRC

29.01.2015 Views

Oresund A total of 16 CALPUFF simulations are run for each experiment-hour in the Oresund dataset to explore the sensitivity of model performance to the 4 CALMET configurations associated with mixing height computations and the 2 CALPUFF configurations associated with the choice for minimum σ v . Predicted and observed concentrations for all of these simulations are listed in Tables 4-17 and 4-18. Analysis of these results leads to the following conclusions: • The choice for the convective mixing height model can change individual arc-peak concentrations in the Oresund dataset by about 20%. On average, the Batchvarova–Gryning option (IMIXH=2) reduces these peak concentrations by about 10% from those obtained with the Maul-Carson option (IMIXH=1). • The choice of either calculated overwater mixing height or using the heights estimated from the temperature profiles over the strait (listed in Table 4-10) can change individual arc-peak concentrations in the Oresund dataset by about 20%. On average, computing an overwater mixing height increases these peak concentrations by about 3% to 6% from those obtained with the estimated heights. • Using either 0.5 m/s or 0.37 m/s for the minimum calculated σ v has no effect on simulations of the three releases from the Gladsaxe tower in Denmark. The initial 7 km transport across this built-up area, plus the lack of a very stable overwater boundary layer during these releases appears to promote computed σ v values at puff height that exceed both of these minimums. For the Barseback, Sweden releases, using 0.37 m/s for the minimum σ v increases the arc-peak concentrations by 10% to 40% compared to results obtained with using 0.5 m/s. All of the releases from the Barseback tower experience little initial over land transport, and the air temperatures on these days is significantly warmer than the Oresund temperatures, producing a stable overwater boundary layer. • None of these conclusions include an assessment of which of these choices performs best because in four of the nine experiments the results show a large overprediction tendency that is well beyond the 10% to 40% changes noted above. Further consideration of the dispersion conditions captured in the Oresund experiments suggests that turbulence advection, particularly in the offshore flow when the overwater turbulence is much weaker than that over land, must be explicitly simulated in order to improve performance. A test algorithm introduces this feature Final Report Vol.1 82

into CALPUFF, and the simulations are repeated. Revised predicted and observed concentrations are listed in Tables 4-19 and 4-20. Analysis of these results with turbulence advection leads to the following conclusions: • On average, the Batchvarova–Gryning option (IMIXH=2) reduces individual arc-peak concentrations in the Oresund dataset by about 10% from those obtained with the Maul-Carson option (IMIXH=1). Similarly, computing an overwater mixing height increases these arc-peak concentrations by about 3% to 6% from those obtained with the estimated heights. While this average behavior with the turbulence advection adjustment is nearly the same as that without it, changes in the individual arc-peak concentrations cover a slightly smaller range. • Using either 0.5 m/s or 0.37 m/s for the minimum calculated σ v has no effect on simulations of the three releases from the Gladsaxe tower in Denmark, and only about a 5% effect on releases from the Barseback, Sweden tower. With turbulence advection, σ v exceeds both minimum values over a longer portion of the trajectory across the strait. • Advected turbulence increases the diffusion of the Barseback releases as the tracer is transported across the Oresund, reducing the tendency of the model to overpredict peak concentrations at the opposite shore. It has virtually no influence on the impact of the Gladsaxe releases because these are already mixed substantially before reaching the Oresund, and turbulence levels over the Oresund are not as small as during the Barseback releases. • The prototype model for OCS applications should be modified to include turbulence advection. With this addition, it has a small mean bias toward overprediction, and exhibits scatter that is typical in that it is close to a factor of two. • The performance of CALPUFF with turbulence advection improves (smaller bias) when the Batchvarova – Gryning convective mixing height model is selected (IMIXH=2). This improvement is statistically significant at the 95% confidence level. Final Report Vol.1 83

into CALPUFF, and the simul<strong>at</strong>ions are repe<strong>at</strong>ed. Revised predicted and observed<br />

concentr<strong>at</strong>ions are listed in Tables 4-19 and 4-20.<br />

Analysis of these results with turbulence advection leads to the following<br />

conclusions:<br />

• On average, the B<strong>at</strong>chvarova–Gryning option (IMIXH=2) reduces individual<br />

arc-peak concentr<strong>at</strong>ions in the Oresund d<strong>at</strong>aset by about 10% from those<br />

obtained with the Maul-Carson option (IMIXH=1). Similarly, computing an<br />

overw<strong>at</strong>er mixing height increases these arc-peak concentr<strong>at</strong>ions by about<br />

3% to 6% from those obtained with the estim<strong>at</strong>ed heights. While this<br />

average behavior with the turbulence advection adjustment is nearly the same<br />

as th<strong>at</strong> without it, changes in the individual arc-peak concentr<strong>at</strong>ions cover a<br />

slightly smaller range.<br />

• Using either 0.5 m/s or 0.37 m/s for the minimum calcul<strong>at</strong>ed σ v has no effect<br />

on simul<strong>at</strong>ions of the three releases from the Gladsaxe tower in Denmark,<br />

and only about a 5% effect on releases from the Barseback, Sweden tower.<br />

With turbulence advection, σ v exceeds both minimum values over a longer<br />

portion of the trajectory across the strait.<br />

• Advected turbulence increases the diffusion of the Barseback releases as the<br />

tracer is transported across the Oresund, reducing the tendency of the model<br />

to overpredict peak concentr<strong>at</strong>ions <strong>at</strong> the opposite shore. It has virtually no<br />

influence on the impact of the Gladsaxe releases because these are already<br />

mixed substantially before reaching the Oresund, and turbulence levels over<br />

the Oresund are not as small as during the Barseback releases.<br />

• <strong>The</strong> prototype model for OCS applic<strong>at</strong>ions should be modified to include<br />

turbulence advection. With this addition, it has a small mean bias toward<br />

overprediction, and exhibits sc<strong>at</strong>ter th<strong>at</strong> is typical in th<strong>at</strong> it is close to a factor<br />

of two.<br />

• <strong>The</strong> performance of CALPUFF with turbulence advection improves (smaller<br />

bias) when the B<strong>at</strong>chvarova – Gryning convective mixing height model is<br />

selected (IMIXH=2). This improvement is st<strong>at</strong>istically significant <strong>at</strong> the 95%<br />

confidence level.<br />

Final Report Vol.1 83

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