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Mics-asia Ii: The Model Intercomparison Study For Asia Phase Ii

机译：Mics-asia Ii：亚洲II期模型比较研究

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摘要

Chemical transport models (CTMs) have become an essential tool for providing science-based input into best alternatives for reducing urban pollution levels, for designing cost-effective emission control strategies, for the interpretation of observational data, to explore pollution transport pathways, and to assess the impact of long-range transport on air pollutant concentrations in specific regions, including estimating the contribution of emission sources both near and far on ambient pollution levels. Over the last decade our ability to predict air quality has improved due to significant advancements in our ability to measure and model atmospheric chemistry, transport and removal processes. While significant advances in models have taken place, predicting air quality remains a challenging problem due to the complex processes occurring at widely different scales and by their strong coupling across scales. Air quality predictions also have large uncertainties associated with incomplete and/or inaccurate emissions information; lack of key measurements to impose initial and boundary conditions; missing science elements; and poorly parameterized processes.
机译：化学运输模型（CTM）已成为为减少城市污染水平的最佳替代品提供科学依据，设计具有成本效益的排放控制策略，解释观测数据，探索污染运输途径以及评估远程运输对特定区域内空气污染物浓度的影响，包括估算远近排放源对环境污染水平的影响。在过去的十年中，由于我们对大气化学，运输和清除过程进行测量和建模的能力取得了重大进步，因此我们对空气质量的预测能力得到了提高。尽管模型已取得重大进展，但由于在广泛不同的规模上发生的复杂过程及其在各个尺度之间的强耦合，因此预测空气质量仍然是一个具有挑战性的问题。空气质量预测还具有与不完整和/或不准确的排放信息相关的巨大不确定性；缺乏施加初始和边界条件的关键措施；缺少科学元素；以及参数化流程不佳。

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