Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 20
Articles | Volume 16, issue 20
https://doi.org/10.5194/gmd-16-5949-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5949-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 20
Model description paper
 | 
20 Oct 2023
Model description paper |  | 20 Oct 2023

A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application

Shuzhuang Feng, Fei Jiang, Zheng Wu, Hengmao Wang, Wei He, Yang Shen, Lingyu Zhang, Yanhua Zheng, Chenxi Lou, Ziqiang Jiang, and Weimin Ju

Supplement

https://doi.org/10.5194/gmd-16-5949-2023-supplement

Data sets

Anthropogenic air pollutant emissions over China inferred by Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) Shuzhuang Feng and Fei Jiang https://doi.org/10.5281/zenodo.4718290

Model code and software

The code of Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates Shuzhuang Feng and Fei Jiang https://doi.org/10.5281/zenodo.5566225

WRF Model Users' Page WRF Users Page https://www2.mmm.ucar.edu/wrf/users

CMAQ: The Community Multiscale Air Quality Modeling System US EPA https://www.epa.gov/cmaq

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Short summary
We document the system development and application of a Regional multi-Air Pollutant Assimilation System (RAPAS v1.0). This system is developed to optimize gridded source emissions of CO, SO2, NOx, primary PM2.5, and coarse PM10 on a regional scale via simultaneously assimilating surface measurements of CO, SO2, NO2, PM2.5, and PM10. A series of sensitivity experiments demonstrates the advantage of the “two-step” inversion strategy and the robustness of the system in estimating the emissions.
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