Aerosol models from the AERONET data base. Application to surface reflectance validation
Abstract. Aerosols play a critical role in radiative transfer within the atmosphere, and they have a significant impact on climate change. As part of the validation of atmospheric correction of remote sensing data affected by the atmosphere, it is critical to utilize appropriate aerosol models as ae...
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ftunivnantes:oai:HAL:hal-03471295v1 2023-05-15T13:06:25+02:00 Aerosol models from the AERONET data base. Application to surface reflectance validation Roger, Jean-Claude Vermote, Eric Skakun, Sergii Murphy, Emilie Dubovik, Oleg Kalecinski, Natacha Korgo, Bruno Justice, Christopher Holben, Brent Department of Geographical Sciences College Park University of Maryland College Park University of Maryland System-University of Maryland System NASA Goddard Space Flight Center (GSFC) Laboratoire de Météorologie Physique (LaMP) Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA) 2021-12-08 https://hal.uca.fr/hal-03471295 https://doi.org/10.5194/amt-2021-322 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-2021-322 hal-03471295 https://hal.uca.fr/hal-03471295 doi:10.5194/amt-2021-322 https://hal.uca.fr/hal-03471295 2021 [PHYS]Physics [physics] [SDE]Environmental Sciences info:eu-repo/semantics/preprint Preprints, Working Papers, . 2021 ftunivnantes https://doi.org/10.5194/amt-2021-322 2022-06-29T00:49:55Z Abstract. Aerosols play a critical role in radiative transfer within the atmosphere, and they have a significant impact on climate change. As part of the validation of atmospheric correction of remote sensing data affected by the atmosphere, it is critical to utilize appropriate aerosol models as aerosols are a main source of error. In this paper, we propose and demonstrate a framework for building and identifying an aerosol model. For this purpose, we define the aerosol model by recalculating the aerosol microphysical properties (Cvf, Cvc, %Cvf, %Cvc, rvf, rvc, σr, σc, nr440, nr650, nr850, nr1020, ni440, ni650, ni850, ni1020, %Sph) based on the optical thickness at 440 nm τ440 and the Ångström coefficient α440–870 obtained from numerous AERosol RObotic NETwork (AERONET) sites. Using aerosol microphysical properties provided by the AERONET dataset, we were able to evaluate our own retrieved microphysical properties. The associated uncertainties are up to 23 %, except for the challenging, imaginary part of the refractive index ni (about 38 %). Uncertainties of the retrieved aerosol microphysical properties were incorporated in the framework for validating surface reflectance derived from space-borne Earth observation sensors. Results indicate that the impact of aerosol microphysical properties varies 3.5 × 10−5 to 10−3 in reflectance units. Finally, the uncertainties of the microphysical properties yielded an overall uncertainty of approximately of 1 to 3 % of the retrieved surface reflectance in the MODIS red spectral band (620–670 nm), which corresponds to the specification used for atmospheric correction. Report Aerosol Robotic Network Université de Nantes: HAL-UNIV-NANTES |
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Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
[PHYS]Physics [physics] [SDE]Environmental Sciences |
spellingShingle |
[PHYS]Physics [physics] [SDE]Environmental Sciences Roger, Jean-Claude Vermote, Eric Skakun, Sergii Murphy, Emilie Dubovik, Oleg Kalecinski, Natacha Korgo, Bruno Justice, Christopher Holben, Brent Aerosol models from the AERONET data base. Application to surface reflectance validation |
topic_facet |
[PHYS]Physics [physics] [SDE]Environmental Sciences |
description |
Abstract. Aerosols play a critical role in radiative transfer within the atmosphere, and they have a significant impact on climate change. As part of the validation of atmospheric correction of remote sensing data affected by the atmosphere, it is critical to utilize appropriate aerosol models as aerosols are a main source of error. In this paper, we propose and demonstrate a framework for building and identifying an aerosol model. For this purpose, we define the aerosol model by recalculating the aerosol microphysical properties (Cvf, Cvc, %Cvf, %Cvc, rvf, rvc, σr, σc, nr440, nr650, nr850, nr1020, ni440, ni650, ni850, ni1020, %Sph) based on the optical thickness at 440 nm τ440 and the Ångström coefficient α440–870 obtained from numerous AERosol RObotic NETwork (AERONET) sites. Using aerosol microphysical properties provided by the AERONET dataset, we were able to evaluate our own retrieved microphysical properties. The associated uncertainties are up to 23 %, except for the challenging, imaginary part of the refractive index ni (about 38 %). Uncertainties of the retrieved aerosol microphysical properties were incorporated in the framework for validating surface reflectance derived from space-borne Earth observation sensors. Results indicate that the impact of aerosol microphysical properties varies 3.5 × 10−5 to 10−3 in reflectance units. Finally, the uncertainties of the microphysical properties yielded an overall uncertainty of approximately of 1 to 3 % of the retrieved surface reflectance in the MODIS red spectral band (620–670 nm), which corresponds to the specification used for atmospheric correction. |
author2 |
Department of Geographical Sciences College Park University of Maryland College Park University of Maryland System-University of Maryland System NASA Goddard Space Flight Center (GSFC) Laboratoire de Météorologie Physique (LaMP) Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA) |
format |
Report |
author |
Roger, Jean-Claude Vermote, Eric Skakun, Sergii Murphy, Emilie Dubovik, Oleg Kalecinski, Natacha Korgo, Bruno Justice, Christopher Holben, Brent |
author_facet |
Roger, Jean-Claude Vermote, Eric Skakun, Sergii Murphy, Emilie Dubovik, Oleg Kalecinski, Natacha Korgo, Bruno Justice, Christopher Holben, Brent |
author_sort |
Roger, Jean-Claude |
title |
Aerosol models from the AERONET data base. Application to surface reflectance validation |
title_short |
Aerosol models from the AERONET data base. Application to surface reflectance validation |
title_full |
Aerosol models from the AERONET data base. Application to surface reflectance validation |
title_fullStr |
Aerosol models from the AERONET data base. Application to surface reflectance validation |
title_full_unstemmed |
Aerosol models from the AERONET data base. Application to surface reflectance validation |
title_sort |
aerosol models from the aeronet data base. application to surface reflectance validation |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.uca.fr/hal-03471295 https://doi.org/10.5194/amt-2021-322 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
https://hal.uca.fr/hal-03471295 2021 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-2021-322 hal-03471295 https://hal.uca.fr/hal-03471295 doi:10.5194/amt-2021-322 |
op_doi |
https://doi.org/10.5194/amt-2021-322 |
_version_ |
1766005064800927744 |