A dynamic ammonia emission model and the online coupling with WRF–Chem (WRF–SoilN–Chem v1.0): development and regional evaluation in China

Ren, Chuanhua; Huang, Xin; Liu, Tengyu; Song, Yu; Wen, Zhang; Liu, Xuejun; Ding, Aijun; Zhu, Tong

doi:https://doi.org/10.5194/gmd-16-1641-2023

Articles | Volume 16, issue 6

https://doi.org/10.5194/gmd-16-1641-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-1641-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 6

Development and technical paper

|

22 Mar 2023

Development and technical paper |

| 22 Mar 2023

A dynamic ammonia emission model and the online coupling with WRF–Chem (WRF–SoilN–Chem v1.0): development and regional evaluation in China

Chuanhua Ren, Xin Huang, Tengyu Liu, Yu Song, Zhang Wen, Xuejun Liu, Aijun Ding, and Tong Zhu

Supplement

https://doi.org/10.5194/gmd-16-1641-2023-supplement

Data sets

Version 2 of the IASI NH3 neural network retrieval algorithm: near-real-time and reanalysed datasets (https://iasi.aeris-data.fr/NH3/) M. Van Damme, S. Whitburn, L. Clarisse, C. Clerbaux, D. Hurtmans, and P.-F. Coheur https://doi.org/10.5194/amt-10-4905-2017

A database of atmospheric nitrogen concentration and deposition from a nationwide monitoring network in China Wen Xu, Lin Zhang, and Xuejun Liu https://doi.org/10.6084/m9.figshare.7451357.v5

Model code and software

WRF-soilN-Chem for NH3 code and inputdata Chuanhua Ren and Xin Huang https://doi.org/10.5281/zenodo.7134286

WRF Version v3.9 (Bug-fix Release) National Center for Atmospheric Research https://github.com/wrf-model/WRF/releases

Short summary

Ammonia in the atmosphere has wide impacts on the ecological environment and air quality, and its emission from soil volatilization is highly sensitive to meteorology, making it challenging to be well captured in models. We developed a dynamic emission model capable of calculating ammonia emission interactively with meteorological and soil conditions. Such a coupling of soil emission with meteorology provides a better understanding of ammonia emission and its contribution to atmospheric aerosol.