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Estimating surface-level nitrogen dioxide concentrations from Sentinel-5P/TROPOMI observations in Finland
Abstract In recent decades, satellite instruments have been providing observations of air pollutants such as nitrogen dioxide (NO) with global coverage. Since late 2018, the TROPOspheric Monitoring Instrument (TROPOMI) on-board the Copernicus Sentinel-5 Precursor satellite has produced NO vertical column densities (VCDs) with the best spatial resolution (currently 5.5 3.5km2 at nadir). In this paper, we test and adapt two previously published methods to estimate surface-level NO concentrations from TROPOMI VCD retrievals in the specific conditions of Finland. Satellite-based estimates show good correlation with co-located surface NO measurements from the Finnish AQ network, although not accounting for the level of NO mixing within the boundary layer leads to underestimation. We also use a linear relation between in situ measurements and surface-level estimates to correct for the observed negative bias in the estimates. Finally, we use chemical transport model simulations to estimate the ratio of the annual mean surface concentrations to the values sampled according to TROPOMI observation times, and use it to correct our surface-level NO estimates for compatibility with annual limit values defined in AQ legislation. Overall, the results provide new information to complement traditional ground-based AQ measurements, especially over areas where the surface AQ networks are sparse, and to support national environmental authorities in air quality assessment and reporting.
Highlights Surface-level concentrations of NO2 estimated from satellite observations in Finland. The satellite estimates show high correlation with ground-based data. Annual average estimates calculated over air quality monitoring regions in Finland. The results are useful to complement air quality network measurements.
Estimating surface-level nitrogen dioxide concentrations from Sentinel-5P/TROPOMI observations in Finland
Abstract In recent decades, satellite instruments have been providing observations of air pollutants such as nitrogen dioxide (NO) with global coverage. Since late 2018, the TROPOspheric Monitoring Instrument (TROPOMI) on-board the Copernicus Sentinel-5 Precursor satellite has produced NO vertical column densities (VCDs) with the best spatial resolution (currently 5.5 3.5km2 at nadir). In this paper, we test and adapt two previously published methods to estimate surface-level NO concentrations from TROPOMI VCD retrievals in the specific conditions of Finland. Satellite-based estimates show good correlation with co-located surface NO measurements from the Finnish AQ network, although not accounting for the level of NO mixing within the boundary layer leads to underestimation. We also use a linear relation between in situ measurements and surface-level estimates to correct for the observed negative bias in the estimates. Finally, we use chemical transport model simulations to estimate the ratio of the annual mean surface concentrations to the values sampled according to TROPOMI observation times, and use it to correct our surface-level NO estimates for compatibility with annual limit values defined in AQ legislation. Overall, the results provide new information to complement traditional ground-based AQ measurements, especially over areas where the surface AQ networks are sparse, and to support national environmental authorities in air quality assessment and reporting.
Highlights Surface-level concentrations of NO2 estimated from satellite observations in Finland. The satellite estimates show high correlation with ground-based data. Annual average estimates calculated over air quality monitoring regions in Finland. The results are useful to complement air quality network measurements.
Estimating surface-level nitrogen dioxide concentrations from Sentinel-5P/TROPOMI observations in Finland
Virta, Henrik (Autor:in) / Ialongo, Iolanda (Autor:in) / Szeląg, Monika (Autor:in) / Eskes, Henk (Autor:in)
Atmospheric Environment ; 312
29.07.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Elsevier | 2024
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