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Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase?III

机译:各种模型决议下空气质量模拟对NU-WRF模型性能的评价 - 麦克铁阶段框架内的调查 - III

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Horizontal grid resolution has a profound effect on model performances on meteorology and air quality simulations. In contribution to MICS-Asia Phase?III, one of whose goals was to identify and reduce model uncertainty in air quality prediction, this study examined the impact of grid resolution on meteorology and air quality simulation over East Asia, focusing on the North China Plain?(NCP) region. The NASA Unified Weather Research and Forecasting?(NU-WRF) model has been applied with the horizontal resolutions at?45, 15, and 5km. The results revealed that, in comparison with ground observations, no single resolution can yield the best model performance for all variables across all stations. From a regional average perspective (i.e., across all monitoring sites), air temperature modeling was not sensitive to the grid resolution but wind and precipitation simulation showed the opposite. NU-WRF with the 5km grid simulated the wind speed best, while the 45km grid yielded the most realistic precipitation as compared to the site observations. For air quality simulations, finer resolution generally led to better comparisons with observations for O3, CO, NOx, and PM2.5. However, the improvement of model performance on air quality was not linear with the resolution increase. The accuracy of modeled surface O3 of the 15km grid was greatly improved over the one from the 45km grid. A further increase in grid resolution to 5km, however, showed diminished impact on model performance improvement on O3 prediction. In addition, a 5km resolution grid showed large advantage in better capturing the frequency of high-pollution occurrences. This was important for the assessment of noncompliance with ambient air quality standards, which was key to air quality planning and management. Balancing the modeling accuracy and resource limitation, a 15km grid resolution was suggested for future MICS-Asia air quality modeling activity if the research region remained unchanged. This investigation also found a large overestimate of ground-level O3 and an underestimate of surface NOx and CO, likely due to missing emissions of NOx and?CO.
机译:水平网格分辨率对模型表演对气象和空气质量模拟具有深远的影响。在对MICS-Asia阶段的贡献中,其中一个目标是识别和降低空气质量预测中的模型不确定性,这项研究检测了网格分辨率对东亚气象和空气质量模拟的影响,专注于华北平原?(NCP)区域。美国宇航局统一的天气研究和预测?(NU-WRF)模型已应用于卧式分辨率,在?45,15和5km。结果表明,与地面观察相比,没有单个分辨率可以为所有站点产生所有变量的最佳模型性能。从区域平均视角(即,在所有监测网站上),空气温度建模对网格分辨率不敏感,但风和降水模拟显示相反。 Nu-WRF与5km网格模拟了风力最佳速度,而45km栅格与现场观察相比产生最逼真的降水。对于空气质量模拟,更精细的分辨率通常导致对O3,CO,NOx和PM2.5的观察结果更好地比较。然而,通过分辨率的增加,空气质量上的模型性能的提高不是线性的。从45km栅格的15km栅格的建模表面O3的精度大大提高。然而,电网分辨率的进一步增加至5km,对O3预测的模型性能提高产生了减少。此外,5公里的分辨率网格在更好地捕获高污染事件的频率方面表现出大的优势。这对于评估与环境空气质量标准的不合规是重要的,这是空气质量规划和管理的关键。平衡建模精度和资源限制,如果研究区域保持不变,则建议为未来的MICS-ASIA空气质量建模活动提出15公里的网格分辨率。该研究还发现,由于缺少NOx和何处,可能是由于NOx排放的缺失的较大的地面O3和表面NOx和CO的低估。

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