Comparison of TROPOMI/Sentinel-5 Precursor NO<sub>2</sub> observations with ground-based measurements in Helsinki

oleh: I. Ialongo, H. Virta, H. Eskes, J. Hovila, J. Douros

Format: Article
Diterbitkan: Copernicus Publications 2020-01-01

Deskripsi

<p>We present a comparison between satellite-based TROPOMI (TROPOspheric Monitoring Instrument) <span class="inline-formula">NO<sub>2</sub></span> products and ground-based observations in Helsinki (Finland). TROPOMI <span class="inline-formula">NO<sub>2</sub></span> total (summed) columns are compared with the measurements performed by the Pandora spectrometer between April and September 2018. The mean relative and absolute bias between the TROPOMI and Pandora <span class="inline-formula">NO<sub>2</sub></span> total columns is about 10&thinsp;% and <span class="inline-formula">0.12×10<sup>15</sup></span>&thinsp;molec.&thinsp;cm<span class="inline-formula"><sup>−2</sup></span> respectively. The dispersion of these differences (estimated as their standard deviation) is <span class="inline-formula">2.2×10<sup>15</sup></span>&thinsp;molec.&thinsp;cm<span class="inline-formula"><sup>−2</sup></span>. We find high correlation (<span class="inline-formula"><i>r</i> = 0.68</span>) between satellite- and ground-based data, but also that TROPOMI total columns underestimate ground-based observations for relatively large Pandora <span class="inline-formula">NO<sub>2</sub></span> total columns, corresponding to episodes of relatively elevated pollution. This is expected because of the relatively large size of the TROPOMI ground pixel (<span class="inline-formula">3.5×7</span>&thinsp;km) and the a priori used in the retrieval compared to the relatively small field-of-view of the Pandora instrument. On the other hand, TROPOMI slightly overestimates (within the retrieval uncertainties) relatively small <span class="inline-formula">NO<sub>2</sub></span> total columns. Replacing the coarse a priori <span class="inline-formula">NO<sub>2</sub></span> profiles with high-resolution profiles from the CAMS chemical transport model improves the agreement between TROPOMI and Pandora total columns for episodes of <span class="inline-formula">NO<sub>2</sub></span> enhancement. When only the low values of <span class="inline-formula">NO<sub>2</sub></span> total columns or the whole dataset are taken into account, the mean bias slightly increases. The change in bias remains mostly within the uncertainties.</p> <p>We also analyse the consistency between satellite-based data and in situ <span class="inline-formula">NO<sub>2</sub></span> surface concentrations measured at the Helsinki–Kumpula air quality station (located a few metres from the Pandora spectrometer). We find similar day-to-day variability between TROPOMI, Pandora and in situ measurements, with <span class="inline-formula">NO<sub>2</sub></span> enhancements observed during the same days. Both satellite- and ground-based data show a similar weekly cycle, with lower <span class="inline-formula">NO<sub>2</sub></span> levels during the weekend compared to the weekdays as a result of reduced emissions from traffic and industrial activities (as expected in urban sites). The TROPOMI <span class="inline-formula">NO<sub>2</sub></span> maps reveal also spatial features, such as the main traffic ways and the airport area, as well as the effect of the prevailing south-west wind patterns.</p> <p>This is one of the first works in which TROPOMI <span class="inline-formula">NO<sub>2</sub></span> retrievals are validated against ground-based observations and the results provide an early evaluation of their applicability for monitoring pollution levels in urban sites. Overall, TROPOMI retrievals are valuable to complement the ground-based air quality data (available with high temporal resolution) for describing the spatio-temporal variability of <span class="inline-formula">NO<sub>2</sub></span>, even in a relatively small city like Helsinki.</p>