Articles | Volume 16, issue 16
https://doi.org/10.5194/gmd-16-4659-2023
© Author(s) 2023. 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-16-4659-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
18 Aug 2023
Development and technical paper |
| 18 Aug 2023
| 18 Aug 2023
Dynamic Meteorology-induced Emissions Coupler (MetEmis) development in the Community Multiscale Air Quality (CMAQ): CMAQ-MetEmis
Bok H. Baek
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Carlie Coats
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Siqi Ma
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Department of Atmospheric, Oceanic and Earth Sciences, George Mason
University, Fairfax, VA 22030, USA
Chi-Tsan Wang
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Yunyao Li
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Jia Xing
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Daniel Tong
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Department of Atmospheric, Oceanic and Earth Sciences, George Mason
University, Fairfax, VA 22030, USA
Soontae Kim
Environmental Engineering, College of Engineering, Ajou University,
Suwon, Republic of Korea
Jung-Hun Woo
CORRESPONDING AUTHOR
Civil and Environmental Engineering, College of Engineering, Konkuk
University, Seoul, Republic of Korea
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Xin Zhang, Yan Yin, Ronald van der A, Henk Eskes, Jos van Geffen, Yunyao Li, Xiang Kuang, Jeff L. Lapierre, Kui Chen, Zhongxiu Zhen, Jianlin Hu, Chuan He, Jinghua Chen, Rulin Shi, Jun Zhang, Xingrong Ye, and Hao Chen
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Atmos. Chem. Phys., 21, 16531–16553, https://doi.org/10.5194/acp-21-16531-2021, https://doi.org/10.5194/acp-21-16531-2021, 2021
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Revised manuscript not accepted
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Dust emissions influence global climate while simultaneously reducing the productive potential and resilience of landscapes to climate stressors, together impacting food security and human health. Our results indicate that tuning dust emission models to dust in the atmosphere has hidden dust emission modelling weaknesses and its poor performance. Our new approach will reduce uncertainty and driven by prognostic albedo improve Earth System Models of aerosol effects on future environmental change.
Hyun Cheol Kim, Soontae Kim, Mark Cohen, Changhan Bae, Dasom Lee, Rick Saylor, Minah Bae, Eunhye Kim, Byeong-Uk Kim, Jin-Ho Yoon, and Ariel Stein
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Global outbreaks of COVID-19 offer rare opportunities of natural experiments in emission control and corresponding responses of tropospheric chemistry. This study's novel approach investigates (1) isolating the pandemic's impact from natural and anthropogenic variations, (2) emission adjustment to reproduce real-time emissions, and (3) brute-force modeling to investigate Chinese economic activities. Results provide characteristics of the region's chemistry and emissions.
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Short summary
To enable the direct feedback effects of aerosols and local meteorology in an air quality modeling system without any computational bottleneck, we have developed an inline meteorology-induced emissions coupler module within the U.S. Environmental Protection Agency’s Community Multiscale Air Quality modeling system to dynamically model the complex MOtor Vehicle Emission Simulator (MOVES) on-road mobile emissions inline without a separate dedicated emissions processing model like SMOKE.
To enable the direct feedback effects of aerosols and local meteorology in an air quality...
