TROPOMI/S5P formaldehyde validation using an extensive network of ground-based FTIR stations

Abstract

<jats:p>Abstract. TROPOMI (the TROPOspheric Monitoring Instrument), on-board the Sentinel-5 Precursor satellite, has been monitoring the Earth's atmosphere since October 2017, with an unprecedented horizontal resolution (initially 7×3.5 km2, upgraded to 5.5×3.5 km2 since August 2019). Monitoring air quality is one of the main objectives of TROPOMI, with the measurements of important pollutants such as nitrogen dioxide, carbon monoxide, and formaldehyde (HCHO). In this paper we assess the quality of the latest HCHO TROPOMI products (version 1.1.[5-7]), using ground-based solar-absorption FTIR (Fourier Transform Infrared) measurements of HCHO from twenty-five stations around the world, including high, mid, and low latitude sites. Most of these stations are part of the Network for the Detection of Atmospheric Composition Change (NDACC), and they provide a wide range of observation conditions from very clean remote sites to those with high HCHO levels from anthropogenic or biogenic emissions. The ground-based HCHO retrieval settings have been optimized and harmonized at all the stations, ensuring a consistent validation among the sites. In this validation work, we first assess the accuracy of TROPOMI HCHO tropospheric columns, using the median of the relative differences between TROPOMI and FTIR ground-based data (BIAS). We observe that, at all sites, the TROPOMI accuracy is below the upper limit of the pre-launch requirements of 80 %, and below the lower limit of 40 % for 20 of the 25 stations. The provided TROPOMI systematic uncertainties are well in agreement with the observed biases at most of the stations, except for the highest HCHO levels site where it is found to be underestimated. We find that, while the BIAS has no latitudinal dependence, it is dependent on the HCHO concentration levels: an overestimation (+26 &amp;amp;pm; 5 %) of TROPOMI is observed for very small HCHO levels ( 8.0 × 1015 molec/cm2). This demonstrates the great value of such a harmonized network covering a wide range of concentration levels, the sites with high HCHO concentrations being crucial for the determination of the satellite bias at the regions of emissions, and the clean sites allowing a small TROPOMI offset to be determined. The wide range of sampled HCHO levels within the network allows the robust determination of the significant constant and proportional TROPOMI HCHO biases (TROPOMI=+ 1.10 (&amp;amp;pm; 0.05) × 1015+ 0.64 (&amp;amp;pm; 0.03) × FTIR, in molec/cm2). Second, the precision of TROPOMI HCHO data is estimated by the median absolute deviation (MAD) of the relative differences between TROPOMI and FTIR ground-based data. The clean sites are especially useful to minimize a possible additional collocation error. The precision requirement of 1.2 × 1016 molec/cm2 for a single pixel is reached at most of the clean sites, where it is found that the TROPOMI precision can even be twice better (0.5–0.8 × 1015 molec/cm2 for a single pixel). However, we find that the provided TROPOMI random uncertainties may be underestimated by a factor of 1.6 (for clean sites) to 2.3 (for high HCHO levels). The correlation is very good between TROPOMI and FTIR data (R = 0.88 for 3 hours-mean coincidences; R = 0.91 for monthly means coincidences). Using about 17 months of data (from May 2018 to September 2019), we show that the TROPOMI seasonal variability is in very good agreement at all of the FTIR sites. The FTIR network demonstrates the very good quality of the TROPOMI HCHO products which is well within the pre-launch requirements for both accuracy and precision. This paper advises for a refinement of the TROPOMI random uncertainty budget and of the TROPOMI quality assurance values for a better filtering of the remaining outliers. </jats:p>

Source and variability of formaldehyde (HCHO) at northern high latitude: an integrated satellite, ground/aircraft, and model study

“…Wolfe et al (2019) finds a small bias in OMI HCHO when comparing to ATom-1 and ATom2 datasets. Using FTIR ground-based measurements, Vigouroux et al (2020) finds a positive bias of 25% in TROPOMI HCHO vertical column density in regions with low HCHO (<2.5×10 15 molecules cm -2 ) and a negative bias of 31% in regions with high HCHO (>8.0×10 15 molecules cm -2 ), consistent with a recent comparison between MAX-DOAS and TROPOMI (De Smedt et al, 2021). Zhu et al(2020) finds a similar bias for OMI HCHO product, with in-situ measurements from aircraft campaigns.…”

“…The uncertainty range agrees with previous studies about the biases in satellite HCHO products. Vigouroux et al (2020) found that TROPOMI HCHO product is overestimated (26% 5%) under low HCHO levels and is underestimated (-30.8% 1.4%) under high HCHO levels. The bias remains largely uncertainty at high latitude sites, such as in Eureka, Thule, Ny-Alesund and Lauder.…”

“…We here mainly focus on the MAX-DOAS technique, but other techniques are also widely used, such as direct sun measurement (e.g. Pandora instrument) (Cede et al, 2006;Park et al, 2018;Herman et al, 2009), and the ground-based direct solar absorption FTIR (Fourier Transform Infra-Red) technique (Vigouroux et al, 2020(Vigouroux et al, , 2009(Vigouroux et al, , 2018. First, ground-based measurements provide higher precision than satellite sensors, and ground-based measurements can increase the signal-to-noise ratio (SNR) by either averaging over a large number of spectra or having a https://doi.org/10.5194/acp-2021-820 Preprint.…”

Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine

“…TROPOMI formaldehyde (HCHO) usually overestimates ground‐level values over clean areas and underestimates high content (Vigouroux et al, 2020). Nevertheless, the results of the comparison between satellite and in‐situ HCHO data were acceptable (Guan et al, 2021; Sun et al, 2021; Zhao et al, 2022) and could reflect seasonal changes (Su et al, 2020; Vigouroux et al, 2020). Sulfur dioxide (SO 2 ) is mainly used for tracking volcanic emissions (Corradini et al, 2021; Fioletov et al, 2020; Queißer et al, 2019; Theys et al, 2021).…”

“…Huge advantages of TROPOMI data were presented for tracking and analyzing urban pollution (Potts et al, 2021; Saw et al, 2021; Su et al, 2020); biomass burning (Griffin et al, 2021; Savenets et al, 2020); shipping emissions (Pseftogkas et al, 2021); volcanic eruptions (Corradini et al, 2021; Queißer et al, 2019; Theys et al, 2021), and other emission types and sources. The ability of TROPOMI to represent relevant air quality was shown during the comparison against ground‐based measurements (Borsdorff, aan de Brugh, et al, 2018; Borsdorff et al, 2019; Ialongo et al, 2020; Sha et al, 2021; van Geffen et al, 2022; Verhoelst et al, 2021; Vigouroux et al, 2020); aircraft observations (Griffin et al, 2021; Tack et al, 2021; Zhao et al, 2021); emission inventories (Kim et al, 2020; Zong et al, 2019) and model results (Borsdorff, de Brugh, et al, 2018; Chi et al, 2022; Kim et al, 2020; Vellalassery et al, 2021).…”