Title
An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals
Author
Sitwell, M.
Shephard, M.W.
Rochon, Y.
Cady-Pereira, K.
Dammers, E.
Publication year
2022
Abstract
An ensemble-variational inversion system is developed for the estimation of ammonia emissions using ammonia retrievals from the Cross-track Infrared Sounder (CrIS) for use in the Global Environmental Multiscale – Modelling Air quality and Chemistry (GEM-MACH) chemical weather model. A novel hybrid method to compare logarithmic retrieval parameters to model profiles is presented. Inversions for the monthly mean ammonia emissions over North America were performed for May to August 2016. Inversions using the hybrid comparison method increased ammonia emissions at most locations within the model domain, with total monthly mean emissions increasing by 11 %–41 %. The use of these revised emissions in GEM-MACH reduced biases with surface ammonia observations by as much as 25 %. The revised ammonia emissions also improved the forecasts of total (fine + coarse) ammonium and nitrate, as well as ammonium wet deposition, with biases decreasing by as much as 13 %, but they did not improve the forecasts of just the fine components of ammo nium and nitrate. A comparison of biases resulting from inversions using different comparison methods shows favourable results for the hybrid comparison method
Subject
Environment & Sustainability
Urbanisation
To reference this document use:
http://resolver.tudelft.nl/uuid:77e0a36d-127c-4462-bae2-d9daafb301df
DOI
https://doi.org/10.5194/acp-22-6595-2022
TNO identifier
971039
Publisher
Copernicus GmbH
ISSN
1680-7316
Source
Atmospheric Chemistry and Physics, 22 (22), 6595-6624
Document type
article