An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals

Sitwell, Michael; Shephard, Mark W.; Rochon, Yves; Cady-Pereira, Karen; Dammers, Enrico

doi:https://doi.org/10.5194/acp-22-6595-2022

Articles | Volume 22, issue 10

https://doi.org/10.5194/acp-22-6595-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-6595-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 10

Research article

|

20 May 2022

Research article |

| 20 May 2022

An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals

Michael Sitwell, Mark W. Shephard, Yves Rochon, Karen Cady-Pereira, and Enrico Dammers

Supplement

https://doi.org/10.5194/acp-22-6595-2022-supplement

Data sets

Ammonia measurements from space with the Cross-track Infrared Sounder: characteristics and applications (https://hpfx.collab.science.gc.ca/~mas001/satellite_ext/cris/snpp/ nh3/) Mark W. Shephard, Enrico Dammers, Karen E. Cady-Pereira, Shailesh K. Kharol, Jesse Thompson, Yonatan Gainariu-Matz, Junhua Zhang, Chris A. McLinden, Andrew Kovachik, Michael Moran, Shabtai Bittman, Christopher E. Sioris, Debora Griffin, Matthew J. Alvarado, Chantelle Lonsdale, Verica Savic-Jovcic, and Qiong Zheng https://doi.org/10.5194/acp-20-2277-2020

Model code and software

GEM-MACHv2.4.6-LTS.17 GEM-MACH Development Team https://doi.org/10.5281/zenodo.6515824

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Short summary

Observations of ammonia made using the satellite-borne CrIS instrument were used to improve the ammonia emissions used in the GEM-MACH model. These observations were used to refine estimates of the monthly mean ammonia emissions over North America for May to August 2016. The updated ammonia emissions reduced biases of GEM-MACH surface ammonia fields with surface observations and showed some improvements in the forecasting of species involved in inorganic particulate matter formation.