Evaluating the effects of columnar NO2 on the accuracy of aerosoloptical properties retrievals
We aim to evaluate the NO2 absorption effect in aerosol columnar properties, namely the aerosol optical depth (AOD), Ångström exponent (AE), and single scattering albedo (SSA), derived from sun–sky radiometers in addition to the possible retrieval algorithm improvements by using more accurate charac...
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ftunivlilleoa:oai:lilloa.univ-lille.fr:20.500.12210/114140 2024-06-23T07:45:00+00:00 Evaluating the effects of columnar NO2 on the accuracy of aerosoloptical properties retrievals Drosoglou, Theano Raptis, Ioannis-Panagiotis Valeri, Massimo Casadio, Stefano Barnaba, Francesca Herreras Giralda, Marcos Lopatin, Anton Doubovik, Oleg Brizzi, Gabriele Niro, Fabrizio Campanelli, Monica Kazadzis, Stelios Université de Lille CNRS National Observatory of Athens NOA CNR Institute of Atmospheric Sciences and Climate ISAC Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518 Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center PMOD/WRC 2024-05-29T10:54:20Z application/rdf+xml; charset=utf-8 application/pdf https://hdl.handle.net/20.500.12210/114140 Anglais eng 10.5194/amt-16-2989-2023 Atmos. Meas. Tech. http://hdl.handle.net/20.500.12210/114140 Attribution 3.0 United States info:eu-repo/semantics/openAccess Article original 2024 ftunivlilleoa https://doi.org/20.500.12210/114140 2024-06-03T14:10:53Z We aim to evaluate the NO2 absorption effect in aerosol columnar properties, namely the aerosol optical depth (AOD), Ångström exponent (AE), and single scattering albedo (SSA), derived from sun–sky radiometers in addition to the possible retrieval algorithm improvements by using more accurate characterization of NO2 optical depth from co-located or satellite-based real-time measurements. For this purpose, we employ multiannual (2017–2022) records of AOD, AE, and SSA collected by sun photometers at an urban and a suburban site in the Rome area (Italy) in the framework of both the Aerosol Robotic Network (AERONET) and SKYNET networks. The uncertainties introduced in the aerosol retrievals by the NO2 absorption are investigated using high-frequency observations of total NO2 derived from co-located Pandora spectroradiometer systems in addition to spaceborne NO2 products from the Tropospheric Monitoring Instrument (TROPOMI). For both AERONET and SKYNET, the standard network products were found to systematically overestimate AOD and AE. The average AOD bias found for Rome is relatively low for AERONET (∼ 0.002 at 440 nm and ∼ 0.003 at 380 nm) compared to the retrieval uncertainties but quite a bit higher for SKYNET (∼ 0.007). On average, an AE bias of ∼ 0.02 and ∼ 0.05 was estimated for AERONET and SKYNET, respectively. In general, the correction seems to be low for areas with low columnar NO2 concentrations, but it is still useful for low AODs (< 0.3), where the majority of observations are found, especially under high NO2 pollution events. For the cases of relatively high NO2 levels (> 0.7 DU), the mean AOD bias was found within the range 0.009–0.012 for AERONET, depending on wavelength and location, and about 0.018 for SKYNET. The analysis does not reveal any significant impact of the NO2 correction on the derived aerosol temporal trends for the very limited data sets used in this study. However, the effect is expected to become more evident for trends derived from larger data sets and in the case of an ... Article in Journal/Newspaper Aerosol Robotic Network LillOA (Lille Open Archive - Université de Lille) |
institution |
Open Polar |
collection |
LillOA (Lille Open Archive - Université de Lille) |
op_collection_id |
ftunivlilleoa |
language |
English |
description |
We aim to evaluate the NO2 absorption effect in aerosol columnar properties, namely the aerosol optical depth (AOD), Ångström exponent (AE), and single scattering albedo (SSA), derived from sun–sky radiometers in addition to the possible retrieval algorithm improvements by using more accurate characterization of NO2 optical depth from co-located or satellite-based real-time measurements. For this purpose, we employ multiannual (2017–2022) records of AOD, AE, and SSA collected by sun photometers at an urban and a suburban site in the Rome area (Italy) in the framework of both the Aerosol Robotic Network (AERONET) and SKYNET networks. The uncertainties introduced in the aerosol retrievals by the NO2 absorption are investigated using high-frequency observations of total NO2 derived from co-located Pandora spectroradiometer systems in addition to spaceborne NO2 products from the Tropospheric Monitoring Instrument (TROPOMI). For both AERONET and SKYNET, the standard network products were found to systematically overestimate AOD and AE. The average AOD bias found for Rome is relatively low for AERONET (∼ 0.002 at 440 nm and ∼ 0.003 at 380 nm) compared to the retrieval uncertainties but quite a bit higher for SKYNET (∼ 0.007). On average, an AE bias of ∼ 0.02 and ∼ 0.05 was estimated for AERONET and SKYNET, respectively. In general, the correction seems to be low for areas with low columnar NO2 concentrations, but it is still useful for low AODs (< 0.3), where the majority of observations are found, especially under high NO2 pollution events. For the cases of relatively high NO2 levels (> 0.7 DU), the mean AOD bias was found within the range 0.009–0.012 for AERONET, depending on wavelength and location, and about 0.018 for SKYNET. The analysis does not reveal any significant impact of the NO2 correction on the derived aerosol temporal trends for the very limited data sets used in this study. However, the effect is expected to become more evident for trends derived from larger data sets and in the case of an ... |
author2 |
Université de Lille CNRS National Observatory of Athens NOA CNR Institute of Atmospheric Sciences and Climate ISAC Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518 Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center PMOD/WRC |
format |
Article in Journal/Newspaper |
author |
Drosoglou, Theano Raptis, Ioannis-Panagiotis Valeri, Massimo Casadio, Stefano Barnaba, Francesca Herreras Giralda, Marcos Lopatin, Anton Doubovik, Oleg Brizzi, Gabriele Niro, Fabrizio Campanelli, Monica Kazadzis, Stelios |
spellingShingle |
Drosoglou, Theano Raptis, Ioannis-Panagiotis Valeri, Massimo Casadio, Stefano Barnaba, Francesca Herreras Giralda, Marcos Lopatin, Anton Doubovik, Oleg Brizzi, Gabriele Niro, Fabrizio Campanelli, Monica Kazadzis, Stelios Evaluating the effects of columnar NO2 on the accuracy of aerosoloptical properties retrievals |
author_facet |
Drosoglou, Theano Raptis, Ioannis-Panagiotis Valeri, Massimo Casadio, Stefano Barnaba, Francesca Herreras Giralda, Marcos Lopatin, Anton Doubovik, Oleg Brizzi, Gabriele Niro, Fabrizio Campanelli, Monica Kazadzis, Stelios |
author_sort |
Drosoglou, Theano |
title |
Evaluating the effects of columnar NO2 on the accuracy of aerosoloptical properties retrievals |
title_short |
Evaluating the effects of columnar NO2 on the accuracy of aerosoloptical properties retrievals |
title_full |
Evaluating the effects of columnar NO2 on the accuracy of aerosoloptical properties retrievals |
title_fullStr |
Evaluating the effects of columnar NO2 on the accuracy of aerosoloptical properties retrievals |
title_full_unstemmed |
Evaluating the effects of columnar NO2 on the accuracy of aerosoloptical properties retrievals |
title_sort |
evaluating the effects of columnar no2 on the accuracy of aerosoloptical properties retrievals |
publishDate |
2024 |
url |
https://hdl.handle.net/20.500.12210/114140 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
10.5194/amt-16-2989-2023 Atmos. Meas. Tech. http://hdl.handle.net/20.500.12210/114140 |
op_rights |
Attribution 3.0 United States info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/20.500.12210/114140 |
_version_ |
1802646204711960576 |