Articles | Volume 16, issue 11
https://doi.org/10.5194/amt-16-2989-2023
https://doi.org/10.5194/amt-16-2989-2023
Research article
 | 
15 Jun 2023
Research article |  | 15 Jun 2023

Evaluating the effects of columnar NO2 on the accuracy of aerosol optical properties retrievals

Theano Drosoglou, Ioannis-Panagiotis Raptis, Massimo Valeri, Stefano Casadio, Francesca Barnaba, Marcos Herreras-Giralda, Anton Lopatin, Oleg Dubovik, Gabriele Brizzi, Fabrizio Niro, Monica Campanelli, and Stelios Kazadzis

Data sets

AErosol RObotic NETwork (AERONET) Data Download Tool AERONET https://aeronet.gsfc.nasa.gov/cgi-bin/webtool_aod_v3

Interntaional SKYNET Data Center (ISDC) SKYNET https://www.skynet-isdc.org/data.php

Pandonia Global Network (PGN) data archive PGN http://data.pandonia-global-network.org/

TROPOMI Level 2 Nitrogen Dioxide total column products, Version 02 ESA https://doi.org/10.5270/S5P-9bnp8q8

MODIS/Terra, MODIS Atmosphere L2 Aerosol Product R. Levy, C. Hsu, A. Sayer, S. Mattoo, and J. Lee https://doi.org/10.5067/MODIS/MOD04_L2.061

MODIS/Aqua, MODIS Atmosphere L2 Aerosol Product R. Levy, C. Hsu, A. Sayer, S. Mattoo, and J. Lee https://doi.org/10.5067/MODIS/MYD04_L2.061

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Short summary
Aerosol optical properties derived from sun photometers depend on the optical depth of trace gases absorbing solar radiation at specific spectral ranges. Various networks use satellite-based climatologies to account for this or neglect their effect. In this work, we evaluate the effect of NO2 absorption in aerosol retrievals from AERONET and SKYNET over two stations in Rome, Italy, with relatively high NO2 spatiotemporal variations, using NO2 data from the Pandora network and the TROPOMI sensor.