Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
24 Jan 2024
Development and technical paper |
| 24 Jan 2024
| 24 Jan 2024
The first application of a numerically exact, higher-order sensitivity analysis approach for atmospheric modelling: implementation of the hyperdual-step method in the Community Multiscale Air Quality Model (CMAQ) version 5.3.2
Jiachen Liu
Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, Pennsylvania, USA
Eric Chen
Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, Pennsylvania, USA
Shannon L. Capps
CORRESPONDING AUTHOR
Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, Pennsylvania, USA
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Samuel O. Akinjole and Shannon L. Capps
EGUsphere, https://doi.org/10.5194/egusphere-2025-4543, https://doi.org/10.5194/egusphere-2025-4543, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
Air pollution degrades human health and public welfare. Quantifying the impacts of diverse sources of air pollution is challenging. Simulations are helpful for understanding these complex interactions and end points. With this development, a well-regarded simulation of air pollutants may now trace where pollution from a selected source goes around the world and what happens to it chemically when it is released into the atmosphere. This augmented model may help scientists and decisionmakers.
Yilin Chen, Huizhong Shen, Jennifer Kaiser, Yongtao Hu, Shannon L. Capps, Shunliu Zhao, Amir Hakami, Jhih-Shyang Shih, Gertrude K. Pavur, Matthew D. Turner, Daven K. Henze, Jaroslav Resler, Athanasios Nenes, Sergey L. Napelenok, Jesse O. Bash, Kathleen M. Fahey, Gregory R. Carmichael, Tianfeng Chai, Lieven Clarisse, Pierre-François Coheur, Martin Van Damme, and Armistead G. Russell
Atmos. Chem. Phys., 21, 2067–2082, https://doi.org/10.5194/acp-21-2067-2021, https://doi.org/10.5194/acp-21-2067-2021, 2021
Short summary
Short summary
Ammonia (NH3) emissions can exert adverse impacts on air quality and ecosystem well-being. NH3 emission inventories are viewed as highly uncertain. Here we optimize the NH3 emission estimates in the US using an air quality model and NH3 measurements from the IASI satellite instruments. The optimized NH3 emissions are much higher than the National Emissions Inventory estimates in April. The optimized NH3 emissions improved model performance when evaluated against independent observation.
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Short summary
Air pollution harms human life and ecosystems, but its sources are complex. Scientists and policy makers use air pollution models to advance knowledge and inform control strategies. We implemented a recently developed numeral system to relate any set of model inputs, like pollutant emissions from a given activity, to all model outputs, like concentrations of pollutants harming human health. This approach will be straightforward to update when scientists discover new processes in the atmosphere.
Air pollution harms human life and ecosystems, but its sources are complex. Scientists and...
