Preprints
https://doi.org/10.5194/egusphere-2026-3909
https://doi.org/10.5194/egusphere-2026-3909
24 Jul 2026
 | 24 Jul 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Assessing the Representativeness of Surface Atmospheric Ammonia Observations for Satellite Data Interpretation

Camille Viatte, Vincent Lécluse, Antoine Causse, Marion Delidais, Mélodie Chatain, Mathilde Bourlon, Ángel Luque-Lázaro, Jérôme Le Paih, Julie Cozic, and Guillaume Salque-Moreton

Abstract. Atmospheric ammonia (NH₃) is a major precursor of secondary fine particulate matter and is predominantly emitted by agricultural activities. However, the representativeness and complementarity of satellite and surface NH₃ observations remain insufficiently characterized. This study evaluates the consistency between IASI satellite observations and surface NH₃ measurements across the three largest NH₃ emitting regions of France (Brittany, Grand Est, and Auvergne–Rhône-Alpes), representing 44 % of national emissions. A network of 24 monitoring sites, equipped with Radiello passive samplers and Picarro analyzers, operates from June 2024 to June 2025. Surface measurements show higher and more variable NH₃ concentrations at agricultural sites than at background sites, whereas traffic-influenced urban locations exhibit intermediate levels. IASI NH₃ columns reproduce surface regional patterns and seasonal variability, with spring and summer maxima consistent with agricultural emissions. Satellite–surface agreement is assessed across multiple spatial and temporal scales. Strong correlations (R ≥ 0.7) are obtained at biweekly to seasonal timescales when averaging IASI observations within 20–40 km of the monitoring sites, demonstrating its capability to characterize regional NH₃ variability. In contrast, correlations remain weaker at daily and sub-daily timescales, highlighting the limited ability of polar-orbiting satellites to capture localized variability. These findings demonstrate that satellite observations are well suited for long-term NH₃ monitoring and trend analysis, whereas dense surface networks remain essential for resolving fine-scale variability. The forthcoming IRS geostationary mission should improve NH₃ monitoring through enhanced temporal and spatial sampling.

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Camille Viatte, Vincent Lécluse, Antoine Causse, Marion Delidais, Mélodie Chatain, Mathilde Bourlon, Ángel Luque-Lázaro, Jérôme Le Paih, Julie Cozic, and Guillaume Salque-Moreton

Status: open (until 04 Sep 2026)

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Camille Viatte, Vincent Lécluse, Antoine Causse, Marion Delidais, Mélodie Chatain, Mathilde Bourlon, Ángel Luque-Lázaro, Jérôme Le Paih, Julie Cozic, and Guillaume Salque-Moreton
Camille Viatte, Vincent Lécluse, Antoine Causse, Marion Delidais, Mélodie Chatain, Mathilde Bourlon, Ángel Luque-Lázaro, Jérôme Le Paih, Julie Cozic, and Guillaume Salque-Moreton

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Short summary
Atmospheric ammonia (NH₃), mainly emitted by agriculture, contributes to fine particle pollution and impacts air quality, ecosystems, and climate. By comparing satellite (IASI) and ground-based observations across France, this study shows that satellites reliably monitor regional NH₃ variability and long-term trends, while surface measurements remain essential to capture local and short-term changes. Together, both observation systems provide complementary information for NH₃ monitoring.
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