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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Multidisciplinary Digital Publishing Institute
2021
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Online Access: | https://hdl.handle.net/20.500.11765/13438 |
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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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1802643557574508544 |