Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network

Fourier transform infrared (FTIR) spectroscopy is particularly relevant for climate studies due to its ability to provide information on both fine absorption structures (i.e. trace gases) and broadband continuum signatures (i.e. aerosols or water continuum) across the entire infrared (IR) domain. In...

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Main Authors: Alvárez, Óscar, Barreto, África, García, Omaira E., Hase, Frank, García, Rosa D., Gröbner, Julian, León-Luis, Sergio F., Sepúlveda, Eliezer, Carreño, Virgilio, Alcántara, Antonio, Ramos, Ramón, Almansa, A. Fernando, Kazadzis, Stelios, Taquet, Noémie, Toledano, Carlos, Cuevas, Emilio
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
Subjects:
Online Access:https://publikationen.bibliothek.kit.edu/1000165780
https://publikationen.bibliothek.kit.edu/1000165780/151951787
https://doi.org/10.5445/IR/1000165780
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spelling ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000165780 2024-02-04T09:52:21+01:00 Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network Alvárez, Óscar Barreto, África García, Omaira E. Hase, Frank García, Rosa D. Gröbner, Julian León-Luis, Sergio F. Sepúlveda, Eliezer Carreño, Virgilio Alcántara, Antonio Ramos, Ramón Almansa, A. Fernando Kazadzis, Stelios Taquet, Noémie Toledano, Carlos Cuevas, Emilio 2023-12-19 application/pdf https://publikationen.bibliothek.kit.edu/1000165780 https://publikationen.bibliothek.kit.edu/1000165780/151951787 https://doi.org/10.5445/IR/1000165780 eng eng Copernicus Publications info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-16-4861-2023 info:eu-repo/semantics/altIdentifier/issn/1867-1381 info:eu-repo/semantics/altIdentifier/issn/1867-8548 https://publikationen.bibliothek.kit.edu/1000165780 https://publikationen.bibliothek.kit.edu/1000165780/151951787 https://doi.org/10.5445/IR/1000165780 https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess Atmospheric Measurement Techniques, 16 (20), 4861 – 4884 ISSN: 1867-1381, 1867-8548 ddc:550 Earth sciences info:eu-repo/classification/ddc/550 doc-type:article Text info:eu-repo/semantics/article article info:eu-repo/semantics/publishedVersion 2023 ftubkarlsruhe https://doi.org/10.5445/IR/100016578010.5194/amt-16-4861-2023 2024-01-07T23:09:17Z Fourier transform infrared (FTIR) spectroscopy is particularly relevant for climate studies due to its ability to provide information on both fine absorption structures (i.e. trace gases) and broadband continuum signatures (i.e. aerosols or water continuum) across the entire infrared (IR) domain. In this context, this study assesses the capability of the portable and compact EM27/SUN spectrometer, used within the research infrastructure COCCON (COllaborative Carbon Column Observing Network), to retrieve spectral aerosol properties from low-resolution FTIR solar absorption spectra (0.5 cm$^{−1}$). The study focuses on the retrieval of aerosol optical depth (AOD) and its spectral dependence in the 873–2314 nm spectral range from COCCON measurements at the subtropical high-mountain Izaña Observatory (IZO, Tenerife, Spain), which were coincidentally carried out with standard sun photometry within the Aerosol Robotic Network (AERONET) in the 3-year period from December 2019 to September 2022. The co-located AERONET–COCCON database was used to cross-validate these two independent techniques in the common spectral range (870–1640 nm), demonstrating an excellent agreement at the near-coincident spectral bands (mean AOD differences limited to 0.005, standard deviations up to 0.021 and Pearson regression coefficients up to 0.97). This indicates that the low-resolution COCCON instruments are suitable for detecting the aerosol broadband signal contained in the IR spectra in addition to the retrieval of precise trace gas concentrations, provided a robust calibration procedure (Langley-based or absolute calibration procedures) is used to compensate for the optical degradation of the external system (∼ 0.72 % per month). The study also assesses the capability of the EM27/SUN to simultaneously infer aerosols and trace gases and relate their common emission sources in two case study events: a volcanic plume from the La Palma eruption in 2021 and a nearby forest fire in Tenerife in 2022. Overall, our results demonstrate the ... Article in Journal/Newspaper Aerosol Robotic Network KITopen (Karlsruhe Institute of Technologie)
institution Open Polar
collection KITopen (Karlsruhe Institute of Technologie)
op_collection_id ftubkarlsruhe
language English
topic ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
spellingShingle ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
Alvárez, Óscar
Barreto, África
García, Omaira E.
Hase, Frank
García, Rosa D.
Gröbner, Julian
León-Luis, Sergio F.
Sepúlveda, Eliezer
Carreño, Virgilio
Alcántara, Antonio
Ramos, Ramón
Almansa, A. Fernando
Kazadzis, Stelios
Taquet, Noémie
Toledano, Carlos
Cuevas, Emilio
Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network
topic_facet ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
description Fourier transform infrared (FTIR) spectroscopy is particularly relevant for climate studies due to its ability to provide information on both fine absorption structures (i.e. trace gases) and broadband continuum signatures (i.e. aerosols or water continuum) across the entire infrared (IR) domain. In this context, this study assesses the capability of the portable and compact EM27/SUN spectrometer, used within the research infrastructure COCCON (COllaborative Carbon Column Observing Network), to retrieve spectral aerosol properties from low-resolution FTIR solar absorption spectra (0.5 cm$^{−1}$). The study focuses on the retrieval of aerosol optical depth (AOD) and its spectral dependence in the 873–2314 nm spectral range from COCCON measurements at the subtropical high-mountain Izaña Observatory (IZO, Tenerife, Spain), which were coincidentally carried out with standard sun photometry within the Aerosol Robotic Network (AERONET) in the 3-year period from December 2019 to September 2022. The co-located AERONET–COCCON database was used to cross-validate these two independent techniques in the common spectral range (870–1640 nm), demonstrating an excellent agreement at the near-coincident spectral bands (mean AOD differences limited to 0.005, standard deviations up to 0.021 and Pearson regression coefficients up to 0.97). This indicates that the low-resolution COCCON instruments are suitable for detecting the aerosol broadband signal contained in the IR spectra in addition to the retrieval of precise trace gas concentrations, provided a robust calibration procedure (Langley-based or absolute calibration procedures) is used to compensate for the optical degradation of the external system (∼ 0.72 % per month). The study also assesses the capability of the EM27/SUN to simultaneously infer aerosols and trace gases and relate their common emission sources in two case study events: a volcanic plume from the La Palma eruption in 2021 and a nearby forest fire in Tenerife in 2022. Overall, our results demonstrate the ...
format Article in Journal/Newspaper
author Alvárez, Óscar
Barreto, África
García, Omaira E.
Hase, Frank
García, Rosa D.
Gröbner, Julian
León-Luis, Sergio F.
Sepúlveda, Eliezer
Carreño, Virgilio
Alcántara, Antonio
Ramos, Ramón
Almansa, A. Fernando
Kazadzis, Stelios
Taquet, Noémie
Toledano, Carlos
Cuevas, Emilio
author_facet Alvárez, Óscar
Barreto, África
García, Omaira E.
Hase, Frank
García, Rosa D.
Gröbner, Julian
León-Luis, Sergio F.
Sepúlveda, Eliezer
Carreño, Virgilio
Alcántara, Antonio
Ramos, Ramón
Almansa, A. Fernando
Kazadzis, Stelios
Taquet, Noémie
Toledano, Carlos
Cuevas, Emilio
author_sort Alvárez, Óscar
title Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network
title_short Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network
title_full Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network
title_fullStr Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network
title_full_unstemmed Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network
title_sort aerosol properties derived from ground-based fourier transform spectra within the collaborative carbon column observing network
publisher Copernicus Publications
publishDate 2023
url https://publikationen.bibliothek.kit.edu/1000165780
https://publikationen.bibliothek.kit.edu/1000165780/151951787
https://doi.org/10.5445/IR/1000165780
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Measurement Techniques, 16 (20), 4861 – 4884
ISSN: 1867-1381, 1867-8548
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-16-4861-2023
info:eu-repo/semantics/altIdentifier/issn/1867-1381
info:eu-repo/semantics/altIdentifier/issn/1867-8548
https://publikationen.bibliothek.kit.edu/1000165780
https://publikationen.bibliothek.kit.edu/1000165780/151951787
https://doi.org/10.5445/IR/1000165780
op_rights https://creativecommons.org/licenses/by/4.0/deed.de
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5445/IR/100016578010.5194/amt-16-4861-2023
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