The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2.
The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2.
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DOI：
10.5194/gmd-14-3407-2021
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发表时间：
2021-06-07
影响因子：
5.1
通讯作者：
Pye HOT
中科院分区：
文献类型：
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作者：
Murphy BN;Nolte CG;Sidi F;Bash JO;Appel KW;Jang C;Kang D;Kelly J;Mathur R;Napelenok S;Pouliot G;Pye HOT
用于研究和监管应用的空气质量建模通常涉及执行许多排放敏感性案例，以量化假设情景的影响，估计源贡献或量化不确定性。尽管这项任务的流行，传统的方法扰动排放的化学传输模型，如社区多尺度空气质量（CMAQ）模型需要广泛的离线创建和定稿的替代排放输入文件。这种工作流通常很耗时，容易出错，模型用户之间不一致，难以记录，并且依赖于增加的硬盘资源。详细排放定标、隔离和诊断（DESID）模块是CMAQv5.3及更高版本的一个组件，通过在空气质量模拟期间在线执行这些修改来解决这些限制。此外，该模型包含一个排放控制界面，允许用户规定简单和高度复杂的排放缩放操作，控制单个或多个化学物种，排放源和感兴趣的空间区域。DESID通过广泛的错误检查和可选的处理后发射场网格输出进一步提高了其操作的透明度。这些新功能对于许多空气质量应用具有很高的价值，包括常规扰动研究、大气化学研究以及与外部模型（例如，能源系统模型，简化形式模型）。
Air quality modeling for research and regulatory applications often involves executing many emissions sensitivity cases to quantify impacts of hypothetical scenarios, estimate source contributions, or quantify uncertainties. Despite the prevalence of this task, conventional approaches for perturbing emissions in chemical transport models like the Community Multiscale Air Quality (CMAQ) model require extensive offline creation and finalization of alternative emissions input files. This workflow is often time-consuming, error-prone, inconsistent among model users, difficult to document, and dependent on increased hard disk resources. The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module, a component of CMAQv5.3 and beyond, addresses these limitations by performing these modifications online during the air quality simulation. Further, the model contains an Emission Control Interface which allows users to prescribe both simple and highly complex emissions scaling operations with control over individual or multiple chemical species, emissions sources, and spatial areas of interest. DESID further enhances the transparency of its operations with extensive error-checking and optional gridded output of processed emission fields. These new features are of high value to many air quality applications including routine perturbation studies, atmospheric chemistry research, and coupling with external models (e.g., energy system models, reduced-form models).