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首页> 外文会议>NATO/SPS international technical meeting on air pollution modeling and its appliation >3.3 Effect of Temporal Averaging of Vertical Eddy Diffusivity on the Forecast Quality of Surface Ozone Concentration of the National Air Quality Forecast
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3.3 Effect of Temporal Averaging of Vertical Eddy Diffusivity on the Forecast Quality of Surface Ozone Concentration of the National Air Quality Forecast

机译：3.3垂直涡流延伸率的时间平均对国家空气质量预测表面臭氧浓度预测质量的影响

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Air Quality forecast models are employed to provide numerical guidance for forecasters to issue timely ozone and particulate matter concentration forecast pertinent to human health exposures to the communities they serve. The National Centers for Environmental Prediction (NCEP), National Weather Service Weather Research and Forecasting Non-hydrostatic Mesoscale Model (WRF/NMM) has been coupled off-line with the EPA Community Multi-scale Air Quality (CMAQ) model in 2003 to form the National Air Quality Forecast Capability (NAQFC). Coupling of the turbulent mixing processes of the meteorological driver and CMAQ has been a challenge. WRF/NMM uses the Mellor-Yamada-Janjic (MYJ) turbulence mixing scheme in the boundary layer. The option of directly using MYJ provided vertical eddy diffusivity to calculate turbulent mixing of the atmospheric chemical constituents in CMAQ has been tested. This study investigated the effect of various temporal averaging treatments of vertical eddy diffusivity in redistributing ozone in the boundary layer. Model predicted concentration structures of ozone resulting from these various temporal treatments of vertical eddy diffusivity have been studied and verified using AIRNOW, an EPA surface ozone concentration network, and ozone-sonde data.
机译：空气质量预测模型用于提供预报员的数值指导，以对其所服务的社区的人体健康暴露有关的臭氧和颗粒物质浓度预测。美国国家环境预报中心（NCEP），国家气象局天气研究和预报非静力中尺度模式（WRF / NMM）已经联接离线与EPA社区多尺度空气质量（CMAQ）模型在2003年的形式国家空气质量预测能力（NAQFC）。气象驱动器和CMAQ的湍流混合过程的耦合是一项挑战。 WRF / NMM在边界层中使用MELLOR-YAMADA-JANJIC（MYJ）湍流混合方案。直接使用MyJ的选项提供了垂直涡流扩散率，以计算CMAQ中大气化学成分的湍流混合。本研究研究了在边界层中重新分配臭氧中的垂直涡流的各个时间平均处理对垂直涡流的影响。使用AirNow，EPA表面臭氧浓度网络和臭氧-Sonde数据研究和验证了由这些各种时间处理产生的垂直涡流的臭氧的模型预测浓度结构。

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