Articles | Volume 14, issue 2
Atmos. Meas. Tech., 14, 905–921, 2021
https://doi.org/10.5194/amt-14-905-2021
Atmos. Meas. Tech., 14, 905–921, 2021
https://doi.org/10.5194/amt-14-905-2021

Research article 05 Feb 2021

Research article | 05 Feb 2021

Multiscale observations of NH3 around Toronto, Canada

Shoma Yamanouchi et al.

Data sets

NDACC Measurements at the Toronto, Canada Station Network for the Detection of Atmospheric Composition Change (NDACC) https://www.ndaccdemo.org/stations/toronto-canada

EUMETCast EUMETSAT https://www.eumetsat.int/eumetcast

Industrial and agricultural ammonia point sources exposed (http://iasi.aeris-data.fr/NH3) M. Van Damme, L. Clarisse, S. Whitburn, J. Hadji-Lazaro, D. Hurtmans, C. Clerbaux, and P.-F. Coheur https://doi.org/10.1088/1748-9326/abd5e0

National Air Pollution Surveillance Program Environment and Climate Change Canada (ECCC) https://open.canada.ca/data/en/dataset/1b36a356-defd-4813-acea-47bc3abd859b

Model code and software

Infrared Working Group 85 Retrieval Code J. Hannigan, M. Palm, and I. Ortega https://wiki.ucar.edu/display/sfit4/

geoschem/geos-chem: GEOS-Chem 12.9.2 The International GEOS-Chem User Commu- nity https://doi.org/10.5281/zenodo.3959279

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Short summary
Ammonia (NH3) is a major source of pollution in the air. As such, there have been increasing efforts to measure the atmospheric abundance of NH3 and its spatial and temporal variability. In this study, long-term measurements of NH3 over Toronto, Canada, derived from multiscale datasets are examined. These NH3 datasets were compared to each other and to a model to better understand NH3 variability and to assess model performance.