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Assessment of the impact of NO<sub>2</sub> contribution on aerosol-optical-depth measurements at several sites worldwide
oleh: A. Masoom, S. Kazadzis, M. Valeri, I.-P. Raptis, I.-P. Raptis, G. Brizzi, K. Papachristopoulou, F. Barnaba, S. Casadio, A. Kreuter, A. Kreuter, F. Niro
| Format: | Article |
|---|---|
| Diterbitkan: | Copernicus Publications 2024-09-01 |
Deskripsi
<p>This work aims at investigating the effect of <span class="inline-formula">NO<sub>2</sub></span> absorption on aerosol-optical-depth (AOD) measurements and Ångström exponent (AE) retrievals of sun photometers by the synergistic use of accurate <span class="inline-formula">NO<sub>2</sub></span> characterization for optical-depth estimation from co-located ground-based measurements. The analysis was performed for <span class="inline-formula">∼</span> 7 years (2017–2023) at several sites worldwide for the AOD measurements and AE retrievals by Aerosol Robotic Network (AERONET) sun photometers which use OMI (Ozone Monitoring Instrument) climatology for <span class="inline-formula">NO<sub>2</sub></span> representation. The differences in AOD and AE retrievals by <span class="inline-formula">NO<sub>2</sub></span> absorption are accounted for using high-frequency columnar <span class="inline-formula">NO<sub>2</sub></span> measurements by a co-located Pandora spectroradiometer belonging to the Pandonia Global Network (PGN). <span class="inline-formula">NO<sub>2</sub></span> absorption affects the AOD measurements in UV-Vis (visible) range, and we found that the AOD bias is the most affected at 380 <span class="inline-formula">nm</span> by <span class="inline-formula">NO<sub>2</sub></span> differences, followed by 440, 340, and 500 <span class="inline-formula">nm</span>, respectively. AERONET AOD was found to be overestimated in half of the cases, while also underestimated in other cases as an impact of the <span class="inline-formula">NO<sub>2</sub></span> difference from “real” (PGN <span class="inline-formula">NO<sub>2</sub></span>) values. Overestimations or underestimations are relatively low. About one-third of these stations showed a mean difference in <span class="inline-formula">NO<sub>2</sub></span> and AOD (at 380 and 440 <span class="inline-formula">nm</span>) above 0.5 <span class="inline-formula">×</span> <span class="inline-formula">10<sup>−4</sup></span> <span class="inline-formula">mol m<sup>−2</sup></span> and 0.002, respectively, which can be considered a systematic contribution to the uncertainties in the AOD measurements that are reported to be of the order of 0.01. However, under extreme <span class="inline-formula">NO<sub>2</sub></span> loading scenarios (i.e. 10 % highest differences) at highly urbanized/industrialized locations, even higher AOD differences were observed that were at the limit of or higher than the reported 0.01 uncertainty in the AOD measurement. PGN <span class="inline-formula">NO<sub>2</sub></span>-based sensitivity analysis of AOD difference suggested that for PGN <span class="inline-formula">NO<sub>2</sub></span> varying between 2 <span class="inline-formula">×</span> <span class="inline-formula">10<sup>−4</sup></span> and 8 <span class="inline-formula">×</span> <span class="inline-formula">10<sup>−4</sup></span> <span class="inline-formula">mol m<sup>−2</sup></span>, the median AOD differences were found to rise above 0.01 (even above 0.02) with the increase in <span class="inline-formula">NO<sub>2</sub></span> threshold (i.e. the lower limit from 2 <span class="inline-formula">×</span> <span class="inline-formula">10<sup>−4</sup></span> to 8 <span class="inline-formula">×</span> <span class="inline-formula">10<sup>−4</sup></span> <span class="inline-formula">mol m<sup>−2</sup></span>). The AOD-derivative product, AE, was also affected by the <span class="inline-formula">NO<sub>2</sub></span> correction (discrepancies between the AERONET OMI climatological representation of <span class="inline-formula">NO<sub>2</sub></span> values and the real PGN <span class="inline-formula">NO<sub>2</sub></span> measurements) on the spectral AOD. Normalized frequency distribution of AE (at 440–870 and 340–440 <span class="inline-formula">nm</span> wavelength pair) was found to be narrower for a broader AOD<span id="page5526"/> distribution for some stations, and vice versa for other stations, and a higher relative error at the shorter wavelength (among the wavelength pairs used for AE estimation) led to a shift in the peak of the AE difference distribution towards a higher positive value, while a higher relative error at a lower wavelength shifted the AE difference distribution to a negative value for the AOD overestimation case, and vice versa for the AOD underestimation case. For rural locations, the mean <span class="inline-formula">NO<sub>2</sub></span> differences were found to be mostly below 0.50 <span class="inline-formula">×</span> <span class="inline-formula">10<sup>−4</sup></span> <span class="inline-formula">mol m<sup>−2</sup></span>, with the corresponding AOD differences being below 0.002, and in extreme <span class="inline-formula">NO<sub>2</sub></span> loading scenarios, it went above this value and reached above 1.00 <span class="inline-formula">×</span> <span class="inline-formula">10<sup>−4</sup></span> <span class="inline-formula">mol m<sup>−2</sup></span> for some stations, leading to higher AOD differences but below 0.005. Finally, AOD and AE trends were calculated based on the original AERONET AOD (based on AERONET OMI climatological <span class="inline-formula">NO<sub>2</sub></span>), and its comparison with the mean differences in the AERONET and PGN <span class="inline-formula">NO<sub>2</sub></span>-corrected AOD was indicative of how <span class="inline-formula">NO<sub>2</sub></span> correction could potentially affect realistic AOD trends.</p>