In:
Atmospheric Chemistry and Physics, Copernicus GmbH, Vol. 22, No. 10 ( 2022-05-20), p. 6595-6624
Abstract:
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 ammonium and nitrate. A comparison of biases resulting from inversions using different comparison methods shows favourable
results for the hybrid comparison method.
Type of Medium:
Online Resource
ISSN:
1680-7324
DOI:
10.5194/acp-22-6595-2022
DOI:
10.5194/acp-22-6595-2022-supplement
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2022
detail.hit.zdb_id:
2092549-9
detail.hit.zdb_id:
2069847-1
