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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/acp-2019-138
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-138
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 25 Mar 2019

Submitted as: research article | 25 Mar 2019

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Atmospheric Chemistry and Physics (ACP).

Atmospheric ammonia variability and link with PM formation: a case study over the Paris area

Camille Viatte1, Tianze Wang1, Martin Van Damme2, Enrico Dammers3, Frederik Meleux4, Lieven Clarisse2, Mark W. Shephard3, Simon Whitburn2, Pierre François Coheur2, Karen E. Cady-Pereira5, and Cathy Clerbaux1,2 Camille Viatte et al.
  • 1LATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris, France
  • 2Université libre de Bruxelles (ULB), Service de Chimie Quantique et Photophysique, Atmospheric Spectroscopy, Brussels, Belgium
  • 3Environment and Climate Change Canada, Toronto, Ontario, Canada
  • 4Institut national de l’environnement industriel et des risques, INERIS, Verneuil en Halatte, France
  • 5Atmospheric and Environmental Research (AER), Inc., Lexington, USA

Abstract. The Paris megacity experiences frequent particulate matter (PM2.5, PM with a diameter less than 2.5 μm) pollution episodes in springtime (March–April). At this time of the year, large parts of the particles consist of ammonium sulfate and nitrate which are formed from ammonia (NH3) released during fertilizer spreading practices and transported from the surrounding areas to Paris. There is still limited knowledge on the emission sources around Paris, their magnitude and seasonality.

Using space-borne NH3 observation records of 10-years (2008–2017) and 5-years (2013–2017) provided by the Infrared Atmospheric Sounding Interferometer (IASI) and the Cross-Track Infrared Sounder (CrIS) instrument, regional pattern of NH3 variabilities (seasonal and inter-annual) are derived. Observations reveal identical high seasonal variabilities with three major NH3 hot spots found from March to August. The high inter-annual variability is discussed with respect to atmospheric total precipitation and temperature.

A detailed analysis of the seasonal cycle is performed using both IASI and the CrIS instrument data, together with outputs from the CHIMERE atmospheric model. For months of high NH3 concentrations (March to August) the CHIMERE model shows good correspondence with correlation slopes of 0.98 and 0.71 when comparing with IASI and CrIS, respectively. It is found that the model is only able to reproduce half of the observed atmospheric temporal NH3 variability in the domain. In term of spatial variability, the CHIMERE monthly NH3 concentrations in springtime show a slight underrepresentation over Belgium and the United-Kingdom and overrepresentation in agricultural areas in the French Brittany/Pays de la Loire and Plateau du Jura region, as well as in the north part of Switzerland.

Using HYSPLIT cluster analysis of back-trajectories, we show that NH3 total columns measured in spring over Paris are enhanced when air masses are originated from the Northeast (e. g., Netherlands and Belgium), highlighting the long-range transport importance on the NH3 budget over Paris.

Finally, we quantify the key meteorological parameters driving the specific conditions important for the PM2.5 formation from NH3 in the Ile-de-France region in springtime. Data-driven results based on surface PM2.5 measurements from the Airparif network and IASI NH3 observations show that a combination of the factors, e. g. a low boundary layer of ~500 m, a relatively low temperature of 5 °C and a high relative humidity of 70 %, contributes to favor PM2.5 and NH3 correlation.

Camille Viatte et al.
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Short summary
We study concentrations and spatiotemporal variability of atmospheric NH3 from the agricultural sector to gain insights on its effects on the Paris megacity air quality using satellite data from IASI and CrIS. We evaluate the regional CHIMERE atmospheric model capacity to reproduce NH3 concentrations and variabilities in the domain of study. We quantify the main meteorological parameters driving the optimal conditions involved in the particulate matter (PM2.5) formation from NH3 in Paris.
We study concentrations and spatiotemporal variability of atmospheric NH3 from the agricultural...
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