Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals
Abstract. 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 accur...
Published in: | Atmospheric Measurement Techniques |
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ftccsdartic:oai:HAL:hal-04294018v1 2024-02-27T08:32:32+00:00 Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals Drosoglou, Theano Raptis, Ioannis-Panagiotis Valeri, Massimo Casadio, Stefano Barnaba, Francesca Herreras-Giralda, Marcos Lopatin, Anton Dubovik, Oleg Brizzi, Gabriele Niro, Fabrizio Campanelli, Monica Kazadzis, Stelios Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) 2023-06-15 https://hal.science/hal-04294018 https://hal.science/hal-04294018/document https://hal.science/hal-04294018/file/amt-16-2989-2023.pdf https://doi.org/10.5194/amt-16-2989-2023 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-16-2989-2023 hal-04294018 https://hal.science/hal-04294018 https://hal.science/hal-04294018/document https://hal.science/hal-04294018/file/amt-16-2989-2023.pdf doi:10.5194/amt-16-2989-2023 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://hal.science/hal-04294018 Atmospheric Measurement Techniques, 2023, 16 (11), pp.2989-3014. ⟨10.5194/amt-16-2989-2023⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2023 ftccsdartic https://doi.org/10.5194/amt-16-2989-2023 2024-01-28T00:21:00Z Abstract. 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 ... Article in Journal/Newspaper Aerosol Robotic Network Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Atmospheric Measurement Techniques 16 11 2989 3014 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Drosoglou, Theano Raptis, Ioannis-Panagiotis Valeri, Massimo Casadio, Stefano Barnaba, Francesca Herreras-Giralda, Marcos Lopatin, Anton Dubovik, Oleg Brizzi, Gabriele Niro, Fabrizio Campanelli, Monica Kazadzis, Stelios Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals |
topic_facet |
[SDE]Environmental Sciences |
description |
Abstract. 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 ... |
author2 |
Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Drosoglou, Theano Raptis, Ioannis-Panagiotis Valeri, Massimo Casadio, Stefano Barnaba, Francesca Herreras-Giralda, Marcos Lopatin, Anton Dubovik, Oleg Brizzi, Gabriele Niro, Fabrizio Campanelli, Monica Kazadzis, Stelios |
author_facet |
Drosoglou, Theano Raptis, Ioannis-Panagiotis Valeri, Massimo Casadio, Stefano Barnaba, Francesca Herreras-Giralda, Marcos Lopatin, Anton Dubovik, Oleg Brizzi, Gabriele Niro, Fabrizio Campanelli, Monica Kazadzis, Stelios |
author_sort |
Drosoglou, Theano |
title |
Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals |
title_short |
Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals |
title_full |
Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals |
title_fullStr |
Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals |
title_full_unstemmed |
Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals |
title_sort |
evaluating the effects of columnar no 2 on the accuracy of aerosol optical properties retrievals |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-04294018 https://hal.science/hal-04294018/document https://hal.science/hal-04294018/file/amt-16-2989-2023.pdf https://doi.org/10.5194/amt-16-2989-2023 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://hal.science/hal-04294018 Atmospheric Measurement Techniques, 2023, 16 (11), pp.2989-3014. ⟨10.5194/amt-16-2989-2023⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-16-2989-2023 hal-04294018 https://hal.science/hal-04294018 https://hal.science/hal-04294018/document https://hal.science/hal-04294018/file/amt-16-2989-2023.pdf doi:10.5194/amt-16-2989-2023 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/amt-16-2989-2023 |
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Atmospheric Measurement Techniques |
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16 |
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11 |
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