The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2
<p>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 p...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-06-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/14/3407/2021/gmd-14-3407-2021.pdf |
| Summary: | <p>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).</p> |
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| ISSN: | 1991-959X 1991-9603 |