Articles | Volume 19, issue 11
https://doi.org/10.5194/gmd-19-4797-2026
https://doi.org/10.5194/gmd-19-4797-2026
Model description paper
 | 
04 Jun 2026
Model description paper |  | 04 Jun 2026

Ammonia bidirectional flux model tailored for satellite retrieval parameter inversions

Michael Sitwell, Mark W. Shephard, and Shailesh K. Kharol

Related authors

EnsAI: An Emulator for Atmospheric Chemical Ensembles
Michael Sitwell
EGUsphere, https://doi.org/10.48550/arXiv.2504.16024,https://doi.org/10.48550/arXiv.2504.16024, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1)
Mark Buehner, Jean-Francois Caron, Ervig Lapalme, Alain Caya, Ping Du, Yves Rochon, Sergey Skachko, Maziar Bani Shahabadi, Sylvain Heilliette, Martin Deshaies-Jacques, Weiguang Chang, and Michael Sitwell
Geosci. Model Dev., 18, 1–18, https://doi.org/10.5194/gmd-18-1-2025,https://doi.org/10.5194/gmd-18-1-2025, 2025
Short summary
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
Atmos. Chem. Phys., 22, 6595–6624, https://doi.org/10.5194/acp-22-6595-2022,https://doi.org/10.5194/acp-22-6595-2022, 2022
Short summary

Cited articles

Anderson, N., Strader, R., and Davidson, C.: Airborne reduced nitrogen: ammonia emissions from agriculture and other sources, Environ. Int., 29, 277–286, 2003. a
Bash, J. O., Cooter, E. J., Dennis, R. L., Walker, J. T., and Pleim, J. E.: Evaluation of a regional air-quality model with bidirectional NH3 exchange coupled to an agroecosystem model, Biogeosciences, 10, 1635–1645, https://doi.org/10.5194/bg-10-1635-2013, 2013. a
Batjes, N. H., Ribeiro, E., and van Oostrum, A.: Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019), Earth Syst. Sci. Data, 12, 299–320, https://doi.org/10.5194/essd-12-299-2020, 2020. a
Buehner, M., McTaggart-Cowan, R., Beaulne, A., Charette, C., Garand, L., Heilliette, S., Lapalme, E., Laroche, S., Macpherson, S. R., Morneau, J., and Zadra, A.: Implementation of deterministic weather forecasting systems based on ensemble–variational data assimilation at Environment Canada. Part I: The global system, Mon. Weather Rev., 143, 2532–2559, 2015. a
Burnett, R. T., Pope III, C. A., Ezzati, M., Olives, C., Lim, S. S., Mehta, S., Shin, H. H., Singh, G., Hubbell, B., Brauer, M., Anderson, H. R., Smith, K. R., Balmes, J. R., Bruce, N. G., Kan, H., Laden, F., Prüss-Ustün, A., Turner, M. C., Gapstur, S. M., Diver, W. R., and Cohen, A.: An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure, Environ. Health. Persp., 122, 397–403, https://doi.org/10.1289/ehp.1307049, 2014. a
Download
Short summary
Bidirectional flux models give a unified model for emission and dry deposition, but few studies have been conducted in which satellite observations are used to refine the parameters in these models. A new bidirectional flux model for ammonia was developed that was designed specifically for use with satellite observations. Ammonia satellite observations were used to refine bidirectional flux model parameters, which improved the agreement of the model with ammonia surface observations.
Share