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Yansen Wang, Cheryl L. Klipp, Dennis M. Garvey, David A. Ligon, Chatt C. Williamson, Sam S. Chang, Rob K. Newsom, and Ronald Calhoun

observed during 9 of the 10 intensive observation periods (IOPs; De Wekker et al. 2004 ). The LLJ and its associated wave motions have been observed in many other investigations in the Great Plains of the United States. Using a Doppler lidar in the Cooperative Atmosphere–Surface Exchange Study 1999 (CASES-99), Banta et al. (2002) , Newsom and Banta (2003) , and Blumen et al. (2001) recently showed that nocturnal LLJs were often at or below 100 m above ground level. As shown in the continuous

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Eric A. Hendricks, Steve R. Diehl, Donald A. Burrows, and Robert Keith

transient manner, taking meteorological files representing the different conditions from RUSTIC at various times during the simulation. The focus of this paper will be on the steady-state runs because a more complex state of the atmosphere cannot be specified for Joint Urban 2003 because of limited upwind spatial and temporal measurements. However, an excursion into some simulations that were done modeling real input wind variability is presented in section 6 . 3. Data and methods a. Data used The

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Donald A. Burrows, Eric A. Hendricks, Steve R. Diehl, and Robert Keith

from 5 m near the surface to 15 m at the top. The middle grid was 2100 m × 2100 m × 300 m in size with 140 × 140 × 32 grid cells. Grid dimensions in the vertical varied from 5 m near the surface to 15 m at the top. The innermost grid was 800 m × 800 m × 200 m with 160 × 160 × 33 grid cells. Grid dimensions in the vertical varied from 5 m near the surface to 10 m at the top. The nested-grid simulations were initialized using the wind profile from the Pacific Northwest National Laboratory (PNNL

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Stevens T. Chan and Martin J. Leach

Park Avenue ( y = 430–460 m). Again, the overall agreement between model results and field measurements is good, especially in the source area (middle of the figure). The statistical performance measures are similar to those of the previous case: SAA = 34.2, FAC2 = 0.71, FB = −0.20, MG = 0.98, and NMSE = 0.48. In this IOP, the observed winds along Park Avenue are more variable. Again, only the wind vectors from the towers nearest the 8-m level along Park Avenue are compared. The vectors agree very

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M. A. Nelson, E. R. Pardyjak, J. C. Klewicki, S. U. Pol, and M. J. Brown

buildings at the west end of the canyon are significantly taller than the rest of the buildings along the canyon walls. There was also a section of buildings along the middle of the north side of the canyon that were significantly shorter than the rest of the buildings composing the canyon. Both features will cause deviations from the ideal urban canyon to a greater or lesser extent depending on the prevailing wind direction. 3. Data selection and detrending The inherent unsteadiness found in ASL flow

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Julia E. Flaherty, Brian Lamb, K. Jerry Allwine, and Eugene Allwine

profile system, section 4 presents the results of the data analysis, and a summary and conclusions are given in section 5 . 2. Site description Oklahoma City is situated in the middle of the state of Oklahoma on the flat terrain and grasslands of the Great Plains. During the summer, winds in OKC are generally from the south and the average wind speed for the month of July is 5.1 m s −1 . July is OKC’s warmest month, with a mean temperature of about 28°C (82°F). The mean daily maximum temperature

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