Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign

International audience Abstract. The European Aerosol Research Lidar Network (EARLINET), part of the Aerosols, Clouds and Trace gases Research Infrastructure (ACTRIS), organized an intensive observational campaign in May 2020, with the objective of monitoring the atmospheric state over Europe during...

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Published in:Atmospheric Measurement Techniques
Main Authors: Tsekeri, Alexandra, Gialitaki, Anna, Di Paolantonio, Marco, Dionisi, Davide, Liberti, Gian, Luigi, Fernandes, Alnilam, Szkop, Artur, Pietruczuk, Aleksander, Pérez-Ramírez, Daniel, Granados Muñoz, Maria, J, Guerrero-Rascado, Juan, Luis, Alados-Arboledas, Lucas, Bermejo Pantaleón, Diego, Bravo-Aranda, Juan, Antonio, Kampouri, Anna, Marinou, Eleni, Amiridis, Vassilis, Sicard, Michael, Comerón, Adolfo, Muñoz-Porcar, Constantino, Rodríguez-Gómez, Alejandro, Romano, Salvatore, Perrone, Maria, Rita, Shang, Xiaoxia, Komppula, Mika, Mamouri, Rodanthi-Elisavet, Nisantzi, Argyro, Hadjimitsis, Diofantos, Navas-Guzmán, Francisco, Haefele, Alexander, Szczepanik, Dominika, Tomczak, Artur, Stachlewska, Iwona, S, Belegante, Livio, Nicolae, Doina, Voudouri, Kalliopi, Artemis, Balis, Dimitris, Floutsi, Athena, A, Baars, Holger, Miladi, Linda, Pascal, Nicolas, Dubovik, Oleg, Lopatin, Anton
Other Authors: Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing Penteli (IAASARS), National Observatory of Athens (NOA), Aristotle University of Thessaloniki, Earth Observation Science Group Leicester (EOS), Space Research Centre Leicester, University of Leicester-University of Leicester, Istituto di Science Marine (ISMAR ), National Research Council of Italy, Scuola di Ingegneria Potenza, Università degli studi della Basilicata = University of Basilicata (UNIBAS), Institute of Geophysics Warsaw, Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences (PAN), Department of Applied Physics Granada, Universidad de Granada = University of Granada (UGR), Instituto Interuniversitario de Investigacion del Sistema Tierra en Andalucia (IISTA-CEAMA), Department of Meteorology and Climatology Thessaloniki, Universitat Politècnica de Catalunya = Université polytechnique de Catalogne Barcelona (UPC), Laboratoire de l'Atmosphère et des Cyclones (LACy), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Météo-France, Department of Mathematics and Physics Lecce, University of Salento Lecce, Finnish Meteorological Institute (FMI), Department of Civil Engineering and Geomatics Cyprus, Cyprus University of Technology, Federal Office of Meteorology and Climatology MeteoSwiss, Faculty of Physics, Warsaw University of Technology Warsaw, National Institute of Research and Development for Optoelectronics (INOE), Laboratory of Atmospheric Physics Thessaloniki, Leibniz Institute for Tropospheric Research (TROPOS), interaction Clouds Aerosols Radiations - ICARE/AERIS Data and Services Center - UMS 2877 (ICARE), Centre National d'Études Spatiales Toulouse (CNES)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), 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), Generalized Retrieval of Atmosphere and Surface Properties (GRASP SAS), This research was financially supported by D-TECT (grant agreement no. 725698) funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme and by PANGEA4CalVal (grant agreement no. 101079201) funded by the European Union https://amt.copernicus.org/articles/16/6025/2023/amt-16-6025-2023-g01. The Barcelona site has been funded by the REALISTIC project (grant agreement no. 101086690) under the European Union's Horizon Widera 2022 Talents programme. The Warsaw site has been supported by the European Commission H2020 (ACTRIS IMP (grant no. 871115)). The Belsk site has been supported by the National Science Centre, Poland (grant no. 2021/41/B/ST10/03660)., European Project: 101086690,REALISTIC, European Project: 871115,H2020,H2020-INFRADEV-2018-2020,ACTRIS IMP(2020), European Project: 101079201,PANGEA4CalVal
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2023
Subjects:
AOD
Online Access:https://hal.science/hal-04459590
https://hal.science/hal-04459590/document
https://hal.science/hal-04459590/file/amt-16-6025-2023.pdf
https://doi.org/10.5194/amt-16-6025-2023
id ftunivreunion:oai:HAL:hal-04459590v1
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institution Open Polar
collection Université de la Réunion: HAL
op_collection_id ftunivreunion
language English
topic Algorithm
meteorological
GRASP
GARRLIC
AOD
AERONET
lidar
radiometer
aerosol
particles
atmospheric
photometer
uncertainties
inversion algorithm
combined data
properties
characteristics
[SDE]Environmental Sciences
[SDU]Sciences of the Universe [physics]
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
spellingShingle Algorithm
meteorological
GRASP
GARRLIC
AOD
AERONET
lidar
radiometer
aerosol
particles
atmospheric
photometer
uncertainties
inversion algorithm
combined data
properties
characteristics
[SDE]Environmental Sciences
[SDU]Sciences of the Universe [physics]
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
Tsekeri, Alexandra
Gialitaki, Anna
Di Paolantonio, Marco
Dionisi, Davide
Liberti, Gian, Luigi
Fernandes, Alnilam
Szkop, Artur
Pietruczuk, Aleksander
Pérez-Ramírez, Daniel
Granados Muñoz, Maria, J
Guerrero-Rascado, Juan, Luis
Alados-Arboledas, Lucas
Bermejo Pantaleón, Diego
Bravo-Aranda, Juan, Antonio
Kampouri, Anna
Marinou, Eleni
Amiridis, Vassilis
Sicard, Michael
Comerón, Adolfo
Muñoz-Porcar, Constantino
Rodríguez-Gómez, Alejandro
Romano, Salvatore
Perrone, Maria, Rita
Shang, Xiaoxia
Komppula, Mika
Mamouri, Rodanthi-Elisavet
Nisantzi, Argyro
Hadjimitsis, Diofantos
Navas-Guzmán, Francisco
Haefele, Alexander
Szczepanik, Dominika
Tomczak, Artur
Stachlewska, Iwona, S
Belegante, Livio
Nicolae, Doina
Voudouri, Kalliopi, Artemis
Balis, Dimitris
Floutsi, Athena, A
Baars, Holger
Miladi, Linda
Pascal, Nicolas
Dubovik, Oleg
Lopatin, Anton
Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign
topic_facet Algorithm
meteorological
GRASP
GARRLIC
AOD
AERONET
lidar
radiometer
aerosol
particles
atmospheric
photometer
uncertainties
inversion algorithm
combined data
properties
characteristics
[SDE]Environmental Sciences
[SDU]Sciences of the Universe [physics]
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
description International audience Abstract. The European Aerosol Research Lidar Network (EARLINET), part of the Aerosols, Clouds and Trace gases Research Infrastructure (ACTRIS), organized an intensive observational campaign in May 2020, with the objective of monitoring the atmospheric state over Europe during the COVID-19 lockdown and relaxation period. Besides the standard operational processing of the lidar data in EARLINET, for seven EARLINET sites having collocated sun-photometric observations in the Aerosol Robotic Network (AERONET), a network exercise was held in order to derive profiles of the concentration and effective column size distributions of the aerosols in the atmosphere, by applying the GRASP/GARRLiC (from Generalized Aerosol Retrieval from Radiometer and Lidar Combined data – GARRLiC – part of the Generalized Retrieval of Atmosphere and Surface Properties – GRASP) inversion algorithm. The objective of this network exercise was to explore the possibility of identifying the anthropogenic component and of monitoring its spatial and temporal characteristics in the COVID-19 lockdown and relaxation period. While the number of cases is far from being statistically significant so as to provide a conclusive description of the atmospheric aerosols over Europe during this period, this network exercise was fundamental to deriving a common methodology for applying GRASP/GARRLiC to a network of instruments with different characteristics. The limits of the approach are discussed, in particular the missing information close to the ground in the lidar measurements due to the instrument geometry and the sensitivity of the GRASP/GARRLiC retrieval to the settings used, especially for cases with low aerosol optical depth (AOD) like the ones we show here. We found that this sensitivity is well-characterized in the GRASP/GARRLiC products, since it is included in their retrieval uncertainties.
author2 Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing Penteli (IAASARS)
National Observatory of Athens (NOA)
Aristotle University of Thessaloniki
Earth Observation Science Group Leicester (EOS)
Space Research Centre Leicester
University of Leicester-University of Leicester
Istituto di Science Marine (ISMAR )
National Research Council of Italy
Scuola di Ingegneria Potenza
Università degli studi della Basilicata = University of Basilicata (UNIBAS)
Institute of Geophysics Warsaw
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences (PAN)
Department of Applied Physics Granada
Universidad de Granada = University of Granada (UGR)
Instituto Interuniversitario de Investigacion del Sistema Tierra en Andalucia (IISTA-CEAMA)
Department of Meteorology and Climatology Thessaloniki
Universitat Politècnica de Catalunya = Université polytechnique de Catalogne Barcelona (UPC)
Laboratoire de l'Atmosphère et des Cyclones (LACy)
Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Météo-France
Department of Mathematics and Physics Lecce
University of Salento Lecce
Finnish Meteorological Institute (FMI)
Department of Civil Engineering and Geomatics Cyprus
Cyprus University of Technology
Federal Office of Meteorology and Climatology MeteoSwiss
Faculty of Physics
Warsaw University of Technology Warsaw
National Institute of Research and Development for Optoelectronics (INOE)
Laboratory of Atmospheric Physics Thessaloniki
Leibniz Institute for Tropospheric Research (TROPOS)
interaction Clouds Aerosols Radiations - ICARE/AERIS Data and Services Center - UMS 2877 (ICARE)
Centre National d'Études Spatiales Toulouse (CNES)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
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)
Generalized Retrieval of Atmosphere and Surface Properties (GRASP SAS)
This research was financially supported by D-TECT (grant agreement no. 725698) funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme and by PANGEA4CalVal (grant agreement no. 101079201) funded by the European Union https://amt.copernicus.org/articles/16/6025/2023/amt-16-6025-2023-g01. The Barcelona site has been funded by the REALISTIC project (grant agreement no. 101086690) under the European Union's Horizon Widera 2022 Talents programme. The Warsaw site has been supported by the European Commission H2020 (ACTRIS IMP (grant no. 871115)). The Belsk site has been supported by the National Science Centre, Poland (grant no. 2021/41/B/ST10/03660).
European Project: 101086690,REALISTIC
European Project: 871115,H2020,H2020-INFRADEV-2018-2020,ACTRIS IMP(2020)
European Project: 101079201,PANGEA4CalVal
format Article in Journal/Newspaper
author Tsekeri, Alexandra
Gialitaki, Anna
Di Paolantonio, Marco
Dionisi, Davide
Liberti, Gian, Luigi
Fernandes, Alnilam
Szkop, Artur
Pietruczuk, Aleksander
Pérez-Ramírez, Daniel
Granados Muñoz, Maria, J
Guerrero-Rascado, Juan, Luis
Alados-Arboledas, Lucas
Bermejo Pantaleón, Diego
Bravo-Aranda, Juan, Antonio
Kampouri, Anna
Marinou, Eleni
Amiridis, Vassilis
Sicard, Michael
Comerón, Adolfo
Muñoz-Porcar, Constantino
Rodríguez-Gómez, Alejandro
Romano, Salvatore
Perrone, Maria, Rita
Shang, Xiaoxia
Komppula, Mika
Mamouri, Rodanthi-Elisavet
Nisantzi, Argyro
Hadjimitsis, Diofantos
Navas-Guzmán, Francisco
Haefele, Alexander
Szczepanik, Dominika
Tomczak, Artur
Stachlewska, Iwona, S
Belegante, Livio
Nicolae, Doina
Voudouri, Kalliopi, Artemis
Balis, Dimitris
Floutsi, Athena, A
Baars, Holger
Miladi, Linda
Pascal, Nicolas
Dubovik, Oleg
Lopatin, Anton
author_facet Tsekeri, Alexandra
Gialitaki, Anna
Di Paolantonio, Marco
Dionisi, Davide
Liberti, Gian, Luigi
Fernandes, Alnilam
Szkop, Artur
Pietruczuk, Aleksander
Pérez-Ramírez, Daniel
Granados Muñoz, Maria, J
Guerrero-Rascado, Juan, Luis
Alados-Arboledas, Lucas
Bermejo Pantaleón, Diego
Bravo-Aranda, Juan, Antonio
Kampouri, Anna
Marinou, Eleni
Amiridis, Vassilis
Sicard, Michael
Comerón, Adolfo
Muñoz-Porcar, Constantino
Rodríguez-Gómez, Alejandro
Romano, Salvatore
Perrone, Maria, Rita
Shang, Xiaoxia
Komppula, Mika
Mamouri, Rodanthi-Elisavet
Nisantzi, Argyro
Hadjimitsis, Diofantos
Navas-Guzmán, Francisco
Haefele, Alexander
Szczepanik, Dominika
Tomczak, Artur
Stachlewska, Iwona, S
Belegante, Livio
Nicolae, Doina
Voudouri, Kalliopi, Artemis
Balis, Dimitris
Floutsi, Athena, A
Baars, Holger
Miladi, Linda
Pascal, Nicolas
Dubovik, Oleg
Lopatin, Anton
author_sort Tsekeri, Alexandra
title Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign
title_short Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign
title_full Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign
title_fullStr Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign
title_full_unstemmed Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign
title_sort combined sun-photometer–lidar inversion: lessons learned during the earlinet/actris covid-19 campaign
publisher HAL CCSD
publishDate 2023
url https://hal.science/hal-04459590
https://hal.science/hal-04459590/document
https://hal.science/hal-04459590/file/amt-16-6025-2023.pdf
https://doi.org/10.5194/amt-16-6025-2023
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source ISSN: 1867-1381
EISSN: 1867-8548
Atmospheric Measurement Techniques
https://hal.science/hal-04459590
Atmospheric Measurement Techniques, 2023, 16 (24), pp.6025 - 6050. ⟨10.5194/amt-16-6025-2023⟩
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info:eu-repo/grantAgreement//101079201/EU/PANGEA Cal/Val center for enhancing Earth Observation R&I in the Mediterranean/PANGEA4CalVal
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spelling ftunivreunion:oai:HAL:hal-04459590v1 2024-09-15T17:35:15+00:00 Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign Tsekeri, Alexandra Gialitaki, Anna Di Paolantonio, Marco Dionisi, Davide Liberti, Gian, Luigi Fernandes, Alnilam Szkop, Artur Pietruczuk, Aleksander Pérez-Ramírez, Daniel Granados Muñoz, Maria, J Guerrero-Rascado, Juan, Luis Alados-Arboledas, Lucas Bermejo Pantaleón, Diego Bravo-Aranda, Juan, Antonio Kampouri, Anna Marinou, Eleni Amiridis, Vassilis Sicard, Michael Comerón, Adolfo Muñoz-Porcar, Constantino Rodríguez-Gómez, Alejandro Romano, Salvatore Perrone, Maria, Rita Shang, Xiaoxia Komppula, Mika Mamouri, Rodanthi-Elisavet Nisantzi, Argyro Hadjimitsis, Diofantos Navas-Guzmán, Francisco Haefele, Alexander Szczepanik, Dominika Tomczak, Artur Stachlewska, Iwona, S Belegante, Livio Nicolae, Doina Voudouri, Kalliopi, Artemis Balis, Dimitris Floutsi, Athena, A Baars, Holger Miladi, Linda Pascal, Nicolas Dubovik, Oleg Lopatin, Anton Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing Penteli (IAASARS) National Observatory of Athens (NOA) Aristotle University of Thessaloniki Earth Observation Science Group Leicester (EOS) Space Research Centre Leicester University of Leicester-University of Leicester Istituto di Science Marine (ISMAR ) National Research Council of Italy Scuola di Ingegneria Potenza Università degli studi della Basilicata = University of Basilicata (UNIBAS) Institute of Geophysics Warsaw Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences (PAN) Department of Applied Physics Granada Universidad de Granada = University of Granada (UGR) Instituto Interuniversitario de Investigacion del Sistema Tierra en Andalucia (IISTA-CEAMA) Department of Meteorology and Climatology Thessaloniki Universitat Politècnica de Catalunya = Université polytechnique de Catalogne Barcelona (UPC) Laboratoire de l'Atmosphère et des Cyclones (LACy) Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Météo-France Department of Mathematics and Physics Lecce University of Salento Lecce Finnish Meteorological Institute (FMI) Department of Civil Engineering and Geomatics Cyprus Cyprus University of Technology Federal Office of Meteorology and Climatology MeteoSwiss Faculty of Physics Warsaw University of Technology Warsaw National Institute of Research and Development for Optoelectronics (INOE) Laboratory of Atmospheric Physics Thessaloniki Leibniz Institute for Tropospheric Research (TROPOS) interaction Clouds Aerosols Radiations - ICARE/AERIS Data and Services Center - UMS 2877 (ICARE) Centre National d'Études Spatiales Toulouse (CNES)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) 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) Generalized Retrieval of Atmosphere and Surface Properties (GRASP SAS) This research was financially supported by D-TECT (grant agreement no. 725698) funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme and by PANGEA4CalVal (grant agreement no. 101079201) funded by the European Union https://amt.copernicus.org/articles/16/6025/2023/amt-16-6025-2023-g01. The Barcelona site has been funded by the REALISTIC project (grant agreement no. 101086690) under the European Union's Horizon Widera 2022 Talents programme. The Warsaw site has been supported by the European Commission H2020 (ACTRIS IMP (grant no. 871115)). The Belsk site has been supported by the National Science Centre, Poland (grant no. 2021/41/B/ST10/03660). European Project: 101086690,REALISTIC European Project: 871115,H2020,H2020-INFRADEV-2018-2020,ACTRIS IMP(2020) European Project: 101079201,PANGEA4CalVal 2023-12-15 https://hal.science/hal-04459590 https://hal.science/hal-04459590/document https://hal.science/hal-04459590/file/amt-16-6025-2023.pdf https://doi.org/10.5194/amt-16-6025-2023 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-16-6025-2023 info:eu-repo/grantAgreement//101086690/EU/centRe of Excellence in AerosoL remote sensIng technology and Science in The Indian oCean/REALISTIC info:eu-repo/grantAgreement//871115/EU/Aerosol, Clouds and Trace Gases Research Infrastructure Implementation Project/ACTRIS IMP info:eu-repo/grantAgreement//101079201/EU/PANGEA Cal/Val center for enhancing Earth Observation R&I in the Mediterranean/PANGEA4CalVal hal-04459590 https://hal.science/hal-04459590 https://hal.science/hal-04459590/document https://hal.science/hal-04459590/file/amt-16-6025-2023.pdf doi:10.5194/amt-16-6025-2023 info:eu-repo/semantics/OpenAccess ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://hal.science/hal-04459590 Atmospheric Measurement Techniques, 2023, 16 (24), pp.6025 - 6050. ⟨10.5194/amt-16-6025-2023⟩ Algorithm meteorological GRASP GARRLIC AOD AERONET lidar radiometer aerosol particles atmospheric photometer uncertainties inversion algorithm combined data properties characteristics [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2023 ftunivreunion https://doi.org/10.5194/amt-16-6025-2023 2024-07-15T23:39:08Z International audience Abstract. The European Aerosol Research Lidar Network (EARLINET), part of the Aerosols, Clouds and Trace gases Research Infrastructure (ACTRIS), organized an intensive observational campaign in May 2020, with the objective of monitoring the atmospheric state over Europe during the COVID-19 lockdown and relaxation period. Besides the standard operational processing of the lidar data in EARLINET, for seven EARLINET sites having collocated sun-photometric observations in the Aerosol Robotic Network (AERONET), a network exercise was held in order to derive profiles of the concentration and effective column size distributions of the aerosols in the atmosphere, by applying the GRASP/GARRLiC (from Generalized Aerosol Retrieval from Radiometer and Lidar Combined data – GARRLiC – part of the Generalized Retrieval of Atmosphere and Surface Properties – GRASP) inversion algorithm. The objective of this network exercise was to explore the possibility of identifying the anthropogenic component and of monitoring its spatial and temporal characteristics in the COVID-19 lockdown and relaxation period. While the number of cases is far from being statistically significant so as to provide a conclusive description of the atmospheric aerosols over Europe during this period, this network exercise was fundamental to deriving a common methodology for applying GRASP/GARRLiC to a network of instruments with different characteristics. The limits of the approach are discussed, in particular the missing information close to the ground in the lidar measurements due to the instrument geometry and the sensitivity of the GRASP/GARRLiC retrieval to the settings used, especially for cases with low aerosol optical depth (AOD) like the ones we show here. We found that this sensitivity is well-characterized in the GRASP/GARRLiC products, since it is included in their retrieval uncertainties. Article in Journal/Newspaper Aerosol Robotic Network Université de la Réunion: HAL Atmospheric Measurement Techniques 16 24 6025 6050