Remote sensing of aerosols at night with the CoSQM sky brightness data

Aerosol optical depth is an important indicator of aerosol particle properties and their associated radiative impacts. AOD determination is very important to achieve relevant climate modelling. Most remote sensing techniques to retrieve aerosol optical depth are applicable to daytime given the high...

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Published in:Remote Sensing
Main Authors: Marseille, Charles, Aubé, Martin, Barreto Velasco, África, Simoneau, Alexandre
Format: Article in Journal/Newspaper
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://hdl.handle.net/20.500.11765/13438
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spelling ftaemet:oai:repositorio.aemet.es:20.500.11765/13438 2024-06-23T07:44:59+00:00 Remote sensing of aerosols at night with the CoSQM sky brightness data Marseille, Charles Aubé, Martin Barreto Velasco, África Simoneau, Alexandre 2021 https://hdl.handle.net/20.500.11765/13438 eng eng Multidisciplinary Digital Publishing Institute https://doi.org/10.3390/rs13224623 info:eu-repo/grantAgreement/EC/FP7/262254 Remote Sensing. 2021, 13(22), p. 1-35 2072-4292 http://hdl.handle.net/20.500.11765/13438 Licencia CC: Reconocimiento CC BY info:eu-repo/semantics/openAccess Artificial light at night Aerosol optical depth Radiometry Multispectral Measurement info:eu-repo/semantics/article 2021 ftaemet https://doi.org/20.500.11765/1343810.3390/rs13224623 2024-06-03T14:17:57Z Aerosol optical depth is an important indicator of aerosol particle properties and their associated radiative impacts. AOD determination is very important to achieve relevant climate modelling. Most remote sensing techniques to retrieve aerosol optical depth are applicable to daytime given the high level of light available. The night represents half of the time but in such conditions only a few remote sensing methods are available. Among these approaches, the most reliable are moon photometers and star photometers. In this paper, we attempt to fill gaps in the aerosol detection performed with the aforementioned techniques using night sky brightness measurements during moonless nights with the novel CoSQM, a portable, low-cost and open-source multispectral photometer. In this paper, we present an innovative method for estimating the aerosol optical depth using an empirical relationship between the zenith night sky brightness measured at night with the CoSQM and the aerosol optical depth retrieved during daytime from the AErosol Robotic NETwork. Article in Journal/Newspaper Aerosol Robotic Network ARCIMÍS (Archivo Climatológico y Meteorológico Institucional - AEMET, Agencia Estatal de Meteorología) Remote Sensing 13 22 4623
institution Open Polar
collection ARCIMÍS (Archivo Climatológico y Meteorológico Institucional - AEMET, Agencia Estatal de Meteorología)
op_collection_id ftaemet
language English
topic Artificial light at night
Aerosol optical depth
Radiometry
Multispectral
Measurement
spellingShingle Artificial light at night
Aerosol optical depth
Radiometry
Multispectral
Measurement
Marseille, Charles
Aubé, Martin
Barreto Velasco, África
Simoneau, Alexandre
Remote sensing of aerosols at night with the CoSQM sky brightness data
topic_facet Artificial light at night
Aerosol optical depth
Radiometry
Multispectral
Measurement
description Aerosol optical depth is an important indicator of aerosol particle properties and their associated radiative impacts. AOD determination is very important to achieve relevant climate modelling. Most remote sensing techniques to retrieve aerosol optical depth are applicable to daytime given the high level of light available. The night represents half of the time but in such conditions only a few remote sensing methods are available. Among these approaches, the most reliable are moon photometers and star photometers. In this paper, we attempt to fill gaps in the aerosol detection performed with the aforementioned techniques using night sky brightness measurements during moonless nights with the novel CoSQM, a portable, low-cost and open-source multispectral photometer. In this paper, we present an innovative method for estimating the aerosol optical depth using an empirical relationship between the zenith night sky brightness measured at night with the CoSQM and the aerosol optical depth retrieved during daytime from the AErosol Robotic NETwork.
format Article in Journal/Newspaper
author Marseille, Charles
Aubé, Martin
Barreto Velasco, África
Simoneau, Alexandre
author_facet Marseille, Charles
Aubé, Martin
Barreto Velasco, África
Simoneau, Alexandre
author_sort Marseille, Charles
title Remote sensing of aerosols at night with the CoSQM sky brightness data
title_short Remote sensing of aerosols at night with the CoSQM sky brightness data
title_full Remote sensing of aerosols at night with the CoSQM sky brightness data
title_fullStr Remote sensing of aerosols at night with the CoSQM sky brightness data
title_full_unstemmed Remote sensing of aerosols at night with the CoSQM sky brightness data
title_sort remote sensing of aerosols at night with the cosqm sky brightness data
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://hdl.handle.net/20.500.11765/13438
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation https://doi.org/10.3390/rs13224623
info:eu-repo/grantAgreement/EC/FP7/262254
Remote Sensing. 2021, 13(22), p. 1-35
2072-4292
http://hdl.handle.net/20.500.11765/13438
op_rights Licencia CC: Reconocimiento CC BY
info:eu-repo/semantics/openAccess
op_doi https://doi.org/20.500.11765/1343810.3390/rs13224623
container_title Remote Sensing
container_volume 13
container_issue 22
container_start_page 4623
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