Retrieval of aerosol properties using relative radiance measurements from an all-sky camera
International audience This paper explores the potential of all-sky cameras to retrieve aerosol properties with the GRASP code (Generalized Retrieval of Atmosphere and Surface Properties). To this end, normalized sky radiances (NSRs) extracted from an all-sky camera at three effective wavelengths (4...
Published in: | Atmospheric Measurement Techniques |
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ftinsu:oai:HAL:insu-03686324v1 2024-02-11T09:54:47+01:00 Retrieval of aerosol properties using relative radiance measurements from an all-sky camera Román, Roberto Antuña-Sánchez, Juan C. Cachorro, Victoria E. Toledano, Carlos Torres, Benjamín Mateos, David Fuertes, David López, César González, Ramiro Lapionok, Tatyana Herreras-Giralda, Marcos Dubovik, Oleg de Frutos, Ángel M. 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) 2022 https://insu.hal.science/insu-03686324 https://insu.hal.science/insu-03686324/document https://insu.hal.science/insu-03686324/file/amt-15-407-2022.pdf https://doi.org/10.5194/amt-15-407-2022 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-15-407-2022 insu-03686324 https://insu.hal.science/insu-03686324 https://insu.hal.science/insu-03686324/document https://insu.hal.science/insu-03686324/file/amt-15-407-2022.pdf BIBCODE: 2022AMT.15.407R doi:10.5194/amt-15-407-2022 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://insu.hal.science/insu-03686324 Atmospheric Measurement Techniques, 2022, 15, pp.407-433. ⟨10.5194/amt-15-407-2022⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2022 ftinsu https://doi.org/10.5194/amt-15-407-2022 2024-01-24T17:29:29Z International audience This paper explores the potential of all-sky cameras to retrieve aerosol properties with the GRASP code (Generalized Retrieval of Atmosphere and Surface Properties). To this end, normalized sky radiances (NSRs) extracted from an all-sky camera at three effective wavelengths (467, 536 and 605 nm) are used in this study. NSR observations are a set of relative (uncalibrated) sky radiances in arbitrary units. NSR observations have been simulated for different aerosol loads and types with the forward radiative transfer module of GRASP, indicating that NSR observations contain information about the aerosol type, as well as about the aerosol optical depth (AOD), at least for low and moderate aerosol loads. An additional sensitivity study with synthetic data has been carried out to quantify the theoretical accuracy and precision of the aerosol properties (AOD, size distribution parameters, etc.) retrieved by GRASP using NSR observations as input. As a result, the theoretical accuracy of AOD is within ±0.02 for AOD values lower than or equal to 0.4, while the theoretical precision goes from 0.01 to 0.05 when AOD at 467 nm varies from 0.1 to 0.5. NSR measurements recorded at Valladolid (Spain) with an all-sky camera for more than 2 years have been inverted with GRASP. The retrieved aerosol properties are compared with independent values provided by co-located AERONET (AErosol RObotic NETwork) measurements. AODs from both data sets correlate with determination coefficient (r 2 ) values of about 0.87. Finally, the novel multi-pixel approach of GRASP is applied to daily camera radiances together by constraining the temporal variation in certain aerosol properties. This temporal linkage (multi-pixel approach) provides promising results, reducing the highly temporal variation in some aerosol properties retrieved with the standard (one by one or single-pixel) approach. This work implies an advance in the use of all-sky cameras for the retrieval of aerosol properties. Article in Journal/Newspaper Aerosol Robotic Network Institut national des sciences de l'Univers: HAL-INSU Atmospheric Measurement Techniques 15 2 407 433 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDU]Sciences of the Universe [physics] |
spellingShingle |
[SDU]Sciences of the Universe [physics] Román, Roberto Antuña-Sánchez, Juan C. Cachorro, Victoria E. Toledano, Carlos Torres, Benjamín Mateos, David Fuertes, David López, César González, Ramiro Lapionok, Tatyana Herreras-Giralda, Marcos Dubovik, Oleg de Frutos, Ángel M. Retrieval of aerosol properties using relative radiance measurements from an all-sky camera |
topic_facet |
[SDU]Sciences of the Universe [physics] |
description |
International audience This paper explores the potential of all-sky cameras to retrieve aerosol properties with the GRASP code (Generalized Retrieval of Atmosphere and Surface Properties). To this end, normalized sky radiances (NSRs) extracted from an all-sky camera at three effective wavelengths (467, 536 and 605 nm) are used in this study. NSR observations are a set of relative (uncalibrated) sky radiances in arbitrary units. NSR observations have been simulated for different aerosol loads and types with the forward radiative transfer module of GRASP, indicating that NSR observations contain information about the aerosol type, as well as about the aerosol optical depth (AOD), at least for low and moderate aerosol loads. An additional sensitivity study with synthetic data has been carried out to quantify the theoretical accuracy and precision of the aerosol properties (AOD, size distribution parameters, etc.) retrieved by GRASP using NSR observations as input. As a result, the theoretical accuracy of AOD is within ±0.02 for AOD values lower than or equal to 0.4, while the theoretical precision goes from 0.01 to 0.05 when AOD at 467 nm varies from 0.1 to 0.5. NSR measurements recorded at Valladolid (Spain) with an all-sky camera for more than 2 years have been inverted with GRASP. The retrieved aerosol properties are compared with independent values provided by co-located AERONET (AErosol RObotic NETwork) measurements. AODs from both data sets correlate with determination coefficient (r 2 ) values of about 0.87. Finally, the novel multi-pixel approach of GRASP is applied to daily camera radiances together by constraining the temporal variation in certain aerosol properties. This temporal linkage (multi-pixel approach) provides promising results, reducing the highly temporal variation in some aerosol properties retrieved with the standard (one by one or single-pixel) approach. This work implies an advance in the use of all-sky cameras for the retrieval of aerosol properties. |
author2 |
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) |
format |
Article in Journal/Newspaper |
author |
Román, Roberto Antuña-Sánchez, Juan C. Cachorro, Victoria E. Toledano, Carlos Torres, Benjamín Mateos, David Fuertes, David López, César González, Ramiro Lapionok, Tatyana Herreras-Giralda, Marcos Dubovik, Oleg de Frutos, Ángel M. |
author_facet |
Román, Roberto Antuña-Sánchez, Juan C. Cachorro, Victoria E. Toledano, Carlos Torres, Benjamín Mateos, David Fuertes, David López, César González, Ramiro Lapionok, Tatyana Herreras-Giralda, Marcos Dubovik, Oleg de Frutos, Ángel M. |
author_sort |
Román, Roberto |
title |
Retrieval of aerosol properties using relative radiance measurements from an all-sky camera |
title_short |
Retrieval of aerosol properties using relative radiance measurements from an all-sky camera |
title_full |
Retrieval of aerosol properties using relative radiance measurements from an all-sky camera |
title_fullStr |
Retrieval of aerosol properties using relative radiance measurements from an all-sky camera |
title_full_unstemmed |
Retrieval of aerosol properties using relative radiance measurements from an all-sky camera |
title_sort |
retrieval of aerosol properties using relative radiance measurements from an all-sky camera |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://insu.hal.science/insu-03686324 https://insu.hal.science/insu-03686324/document https://insu.hal.science/insu-03686324/file/amt-15-407-2022.pdf https://doi.org/10.5194/amt-15-407-2022 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://insu.hal.science/insu-03686324 Atmospheric Measurement Techniques, 2022, 15, pp.407-433. ⟨10.5194/amt-15-407-2022⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-15-407-2022 insu-03686324 https://insu.hal.science/insu-03686324 https://insu.hal.science/insu-03686324/document https://insu.hal.science/insu-03686324/file/amt-15-407-2022.pdf BIBCODE: 2022AMT.15.407R doi:10.5194/amt-15-407-2022 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/amt-15-407-2022 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
15 |
container_issue |
2 |
container_start_page |
407 |
op_container_end_page |
433 |
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1790604225353351168 |