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Seasonal comparisons of GEOS-Chem-TOMAS (GCT) simulations with AERONET-inversion retrievals over sites in the North American and European Arctic
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  • Yasmin AboEl-Fetouh,
  • Norm O'Neill,
  • John K. Kodros,
  • Jeffrey R. Pierce,
  • huizhong lu,
  • Keyvan Ranjbar,
  • Peng xian
Yasmin AboEl-Fetouh
CARTERL, Université de Sherbrooke

Corresponding Author:[email protected]

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Norm O'Neill
CARTEL, U. de Sherbrooke
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John K. Kodros
Colorado State University
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Jeffrey R. Pierce
Colorado State University
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huizhong lu
Calcul Quebec / Compute Canada, Université de Sherbrooke
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Keyvan Ranjbar
Universite de Sherbrooke
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Peng xian
NRL-monterey
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Abstract

GEOS-Chem TOMAS (GCT) simulations of AERONET-inversion products during 2015 were compared with AERONET-inversion products from the multi-year climatology of Aboel-Fetouh et al. (2020) (AeF) and for year 2015 acquired over 5 stations in the North American and European Arctic. The GCT simulations of particle size distributions (PSD) did not capture a spring to summer radius increase of the fine mode (FM) peak observed by AeF but did capture AeF’s springtime coarse mode (CM) peak (small-sized CM peak with a radius ~ 1.3 µm) and a weak late summer / fall increase in the amplitude of that peak. The lack of a spring to summer FM radius increase was likely due to the large GCT cell size (4° x 5°) and associated difficulties in the modelling of coagulation-induced smoke particle size. Conversely, the GCT simulation of the small-sized CM peak indicated a successful capture of the springtime influx of Asian dust. The fall increase of that GCT peak was associated with an increase of a larger (4 -7 µm) PSD mode that AeF suggested was due to local dust. GCT captured the seasonal (climatological-scale) FM AOD trend, the decreasing CM AOD trend, and the increasing trend of the FM fraction. The GCT CM AOD also showed a fall increase that was coherent with the increase of the simulated small-sized CM peak and with a lesser rate of decrease of the AeF CM AOD. Large GCT deviations from the AERONET retrievals were attributed to an extreme July, 2015 forest fire event.
Feb 2022Published in Atmospheric Environment volume 271 on pages 118852. 10.1016/j.atmosenv.2021.118852