Preprints
https://doi.org/10.5194/egusphere-2025-5926
https://doi.org/10.5194/egusphere-2025-5926
11 Jan 2026
 | 11 Jan 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Improved constraints on ammonia emissions and deposition from co-assimilating NH3 and NO2 satellite observations over the Netherlands

Tyler Wizenberg, Enrico Dammers, Arjo Segers, Mark W. Shephard, Pierre Coheur, Lieven Clarisse, Martin Van Damme, Henk Eskes, Roy Wichink Kruit, Shelley van der Graaf, and Martijn Schaap

Abstract. Ammonia (NH3) and nitrogen dioxide (NO2) are key components of reactive nitrogen, strongly affecting air quality and ecosystem health. However, long-term constraints on ammonia emissions and deposition remain uncertain due to sparse in situ measurements and limitations of individual satellite products. We jointly assimilate five years (2018–2022) of NH3 and NO2 satellite observations over the Netherlands to improve constraints on reactive nitrogen concentrations, emissions, and deposition. NH3 retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) and the Cross-Track Infrared Sounder (CrIS) are combined with NO2 observations from the TROPOspheric Monitoring Instrument (TROPOMI) within the LOTOS-EUROS chemical transport model using a Local Ensemble Transform Kalman Filter. The co-assimilation produces coherent year-to-year adjustments in modeled NH3 concentration, emission, and deposition fields. Validation against measurements from the Dutch National Air Quality Monitoring Network (LML) shows reduced biases, clearer diurnal cycles, and improved correlations. Sensitivity experiments demonstrate that including TROPOMI NO2 alongside IASI and CrIS NH3 yields the lowest NH3 surface bias versus LML, highlighting the added value of coupling chemically related satellite observations. Comparisons with monthly Measurements of Ammonia in Nature (MAN) observations showed improved correlations but persistent spatial biases due to representativeness differences, while MAN sensors co-located with LML stations exhibited consistent improvements. These results demonstrate that co-assimilating complementary satellite observations can substantially improve constraints on ammonia emissions and deposition, with direct relevance for air-quality assessment and nitrogen policy applications.

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Tyler Wizenberg, Enrico Dammers, Arjo Segers, Mark W. Shephard, Pierre Coheur, Lieven Clarisse, Martin Van Damme, Henk Eskes, Roy Wichink Kruit, Shelley van der Graaf, and Martijn Schaap

Status: open (until 22 Feb 2026)

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Tyler Wizenberg, Enrico Dammers, Arjo Segers, Mark W. Shephard, Pierre Coheur, Lieven Clarisse, Martin Van Damme, Henk Eskes, Roy Wichink Kruit, Shelley van der Graaf, and Martijn Schaap
Tyler Wizenberg, Enrico Dammers, Arjo Segers, Mark W. Shephard, Pierre Coheur, Lieven Clarisse, Martin Van Damme, Henk Eskes, Roy Wichink Kruit, Shelley van der Graaf, and Martijn Schaap
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Short summary
We combined satellite data on ammonia and nitrogen dioxide concentrations with a regional model to better estimate nitrogen emissions and deposition in the Netherlands. This improved the accuracy of pollution maps and trends, especially in agricultural regions. Our approach helps identify when and where emissions are highest, supporting better air quality management and environmental protection by showing the benefits of using multiple satellite datasets together.
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