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...
Published in: | Atmospheric Measurement Techniques |
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European Geosciences Union
2023
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Online Access: | https://hdl.handle.net/20.500.11765/15307 |
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ftaemet:oai:repositorio.aemet.es:20.500.11765/15307 2024-06-23T07:44:59+00:00 Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network Álvarez, Óscar Barreto Velasco, África García Rodríguez, Omaira Elena Hase, Frank García Cabrera, Rosa Delia Gröbner, Julian León-Luis, Sergio Fabián Sepúlveda Hernández, Eliezer Carreño Corbella, Virgilio Alcántara, Antonio Ramos López, Ramón Almansa Rodríguez, Antonio Fernando Kazadzis, Stelios Taquet, Noémie Toledano, Carlos Cuevas Agulló, Emilio 2023 https://hdl.handle.net/20.500.11765/15307 eng eng European Geosciences Union Copernicus Publications https://doi.org/10.5194/amt-16-4861-2023 Atmospheric Measurement Techniques. 2023, 16(20), 4861–4884 1867-1381 1867-8548 http://hdl.handle.net/20.500.11765/15307 Licencia CC: Reconocimiento CC BY info:eu-repo/semantics/openAccess Fourier transform infrared Spectrometer Atmospheric aerosols COCCON FTIR spectrometry info:eu-repo/semantics/article 2023 ftaemet https://doi.org/20.500.11765/1530710.5194/amt-16-4861-2023 2024-06-03T14:17:57Z 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. This research has been supported by the European Community Research Infrastructure Action under the ACTRIS grant (grant no. 871115), the Ministerio de Economía y Competitividad of Spain through the project SYNERA (grant no. PID2020-521-118793GA-I00), and the European Metrology Programme for Innovation and Research (EMPIR) within the joint research project EMPIR 19ENV04 MAPP. The EMPIR is jointly funded by the EMPIR-participating countries within EURAMET and the European Union. Article in Journal/Newspaper Aerosol Robotic Network ARCIMÍS (Archivo Climatológico y Meteorológico Institucional - AEMET, Agencia Estatal de Meteorología) Atmospheric Measurement Techniques 16 20 4861 4884 |
institution |
Open Polar |
collection |
ARCIMÍS (Archivo Climatológico y Meteorológico Institucional - AEMET, Agencia Estatal de Meteorología) |
op_collection_id |
ftaemet |
language |
English |
topic |
Fourier transform infrared Spectrometer Atmospheric aerosols COCCON FTIR spectrometry |
spellingShingle |
Fourier transform infrared Spectrometer Atmospheric aerosols COCCON FTIR spectrometry Álvarez, Óscar Barreto Velasco, África García Rodríguez, Omaira Elena Hase, Frank García Cabrera, Rosa Delia Gröbner, Julian León-Luis, Sergio Fabián Sepúlveda Hernández, Eliezer Carreño Corbella, Virgilio Alcántara, Antonio Ramos López, Ramón Almansa Rodríguez, Antonio Fernando Kazadzis, Stelios Taquet, Noémie Toledano, Carlos Cuevas Agulló, Emilio Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network |
topic_facet |
Fourier transform infrared Spectrometer Atmospheric aerosols COCCON FTIR spectrometry |
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. This research has been supported by the European Community Research Infrastructure Action under the ACTRIS grant (grant no. 871115), the Ministerio de Economía y Competitividad of Spain through the project SYNERA (grant no. PID2020-521-118793GA-I00), and the European Metrology Programme for Innovation and Research (EMPIR) within the joint research project EMPIR 19ENV04 MAPP. The EMPIR is jointly funded by the EMPIR-participating countries within EURAMET and the European Union. |
format |
Article in Journal/Newspaper |
author |
Álvarez, Óscar Barreto Velasco, África García Rodríguez, Omaira Elena Hase, Frank García Cabrera, Rosa Delia Gröbner, Julian León-Luis, Sergio Fabián Sepúlveda Hernández, Eliezer Carreño Corbella, Virgilio Alcántara, Antonio Ramos López, Ramón Almansa Rodríguez, Antonio Fernando Kazadzis, Stelios Taquet, Noémie Toledano, Carlos Cuevas Agulló, Emilio |
author_facet |
Álvarez, Óscar Barreto Velasco, África García Rodríguez, Omaira Elena Hase, Frank García Cabrera, Rosa Delia Gröbner, Julian León-Luis, Sergio Fabián Sepúlveda Hernández, Eliezer Carreño Corbella, Virgilio Alcántara, Antonio Ramos López, Ramón Almansa Rodríguez, Antonio Fernando Kazadzis, Stelios Taquet, Noémie Toledano, Carlos Cuevas Agulló, Emilio |
author_sort |
Álvarez, 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 |
European Geosciences Union |
publishDate |
2023 |
url |
https://hdl.handle.net/20.500.11765/15307 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
https://doi.org/10.5194/amt-16-4861-2023 Atmospheric Measurement Techniques. 2023, 16(20), 4861–4884 1867-1381 1867-8548 http://hdl.handle.net/20.500.11765/15307 |
op_rights |
Licencia CC: Reconocimiento CC BY info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/20.500.11765/1530710.5194/amt-16-4861-2023 |
container_title |
Atmospheric Measurement Techniques |
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16 |
container_issue |
20 |
container_start_page |
4861 |
op_container_end_page |
4884 |
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1802643800032542720 |