Air Pollution Modeling and its Application XXI
Air Pollution Modeling and its Application XXI
复制标题
空气污染建模及其应用二十一
DOI：
10.1007/978-94-007-1359-8_61
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Kukkonen J
中科院分区：
文献类型：
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作者：
Kukkonen J
包括天气预报和大气化学模拟相结合的方法在这里被称为化学天气预报（CWF）。我们选择了欧洲区域和大陆规模的18个运营CWF模型进行更详细的分析。我们收集了结构化的信息，并相互比较和评估这些模型的数学结构。这些信息使得有可能评估各种建模系统、建模方法和子模型的相对优势和局限性。我们还调查了这一领域最突出的知识差距，并为未来的研究方向提出了潜在的优先事项。在知识方面存在巨大差距，特别是在以下领域：排放清单，观测的可用性和交换，CWF模式边界条件的评估，数值天气预报和大气化学传输模式的整合，各种化学物质的数据同化，对几种化学和物理过程的理解，模式集合的构建，以及对CWF模型的科学评估，包括对数据的评估。
Methods that include a combination of weather forecasting and atmospheric chemistry simulations are here referred to as chemical weather forecasting (CWF). We have selected 18 operational CWF models on regional and continental scales in Europe for a more detailed analysis. We have collected the information in a structured form, and inter-compared and evaluated the mathematical structure of these models. This information makes it possible to evaluate the relative advantages and limitations of the various modeling systems, modeling approaches and sub-models. We have also surveyed the most prominent gaps of knowledge in this field, and suggested potential priorities for future research directions. There are substantial gaps of knowledge, especially in the following fields: emission inventories, the availability and exchange of observations, the evaluation of the boundary conditions for the CWF models, the integration of numerical weather prediction and atmospheric chemical transport models, the data assimilation of the various chemical species, the understanding of several chemical and physical processes, the construction of model ensembles, and the scientific evaluation of the CWF models, including their evaluation against data.