A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms
International audience We have developed a method for evaluating the fidelity of the Aerosol Robotic Network (AERONET) retrieval algorithms by mimicking atmospheric extinction and radiance measurements in a laboratory experiment. This enables radiometric retrievals that use the same sampling volumes...
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ftanrparis:oai:HAL:hal-03008280v1 2024-09-15T17:35:18+00:00 A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms Schuster, Gregory Espinosa, W Ziemba, Luke, D Beyersdorf, Andreas, J Rocha-Lima, Adriana Anderson, Bruce, E Martins, José, C. Dubovik, Oleg Ducos, Fabrice Fuertes, David Lapyonok, Tatyana Shook, M. Derimian, Yevgeny Moore, R. H. NASA Langley Research Center Hampton (LaRC) Department of Organic and Macromolecular Chemistry Universiteit Gent = Ghent University (UGENT) 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) GRASP-SAS, Remote Sensing Developments ANR-11-LABX-0005,Cappa,Physiques et Chimie de l'Environnement Atmosphérique(2011) 2019-03 https://hal.science/hal-03008280 https://hal.science/hal-03008280/document https://hal.science/hal-03008280/file/2019_Schuster.pdf https://doi.org/10.3390/rs11050498 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11050498 hal-03008280 https://hal.science/hal-03008280 https://hal.science/hal-03008280/document https://hal.science/hal-03008280/file/2019_Schuster.pdf doi:10.3390/rs11050498 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.science/hal-03008280 Remote Sensing, 2019, 11 (5), pp.498. ⟨10.3390/rs11050498⟩ aerosols aerosol retrievals AERONET GRASP [SDU]Sciences of the Universe [physics] [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] info:eu-repo/semantics/article Journal articles 2019 ftanrparis https://doi.org/10.3390/rs11050498 2024-07-12T11:12:26Z International audience We have developed a method for evaluating the fidelity of the Aerosol Robotic Network (AERONET) retrieval algorithms by mimicking atmospheric extinction and radiance measurements in a laboratory experiment. This enables radiometric retrievals that use the same sampling volumes, relative humidities, and particle size ranges as observed by other in situ instrumentation in the experiment. We use three Cavity Attenuated Phase Shift (CAPS) monitors for extinction and University of Maryland Baltimore County's (UMBC) three-wavelength Polarized Imaging Nephelometer (PI-Neph) for angular scattering measurements. We subsample the PI-Neph radiance measurements to angles that correspond to AERONET almucantar scans, with simulated solar zenith angles ranging from 50 • to 77 •. These measurements are then used as input to the Generalized Retrieval of Aerosol and Surface Properties (GRASP) algorithm, which retrieves size distributions, complex refractive indices, single-scatter albedos, and bistatic LiDAR ratios for the in situ samples. We obtained retrievals with residuals less than 8% for about 90 samples. Samples were alternately dried or humidified, and size distributions were limited to diameters of less than 1.0 or 2.5 µm by using a cyclone. The single-scatter albedo at 532 nm for these samples ranged from 0.59 to 1.00 when computed with CAPS extinction and Particle Soot Absorption Photometer (PSAP) absorption measurements. The GRASP retrieval provided single-scatter albedos that are highly correlated with the in situ single-scatter albedos, and the correlation coefficients ranged from 0.916 to 0.976, depending upon the simulated solar zenith angle. The GRASP single-scatter albedos exhibited an average absolute bias of +0.023-0.026 with respect to the extinction and absorption measurements for the entire dataset. We also compared the GRASP size distributions to aerodynamic particle size measurements, using densities and aerodynamic shape factors that produce extinctions consistent with our CAPS ... Article in Journal/Newspaper Aerosol Robotic Network Portail HAL-ANR (Agence Nationale de la Recherche) Remote Sensing 11 5 498 |
institution |
Open Polar |
collection |
Portail HAL-ANR (Agence Nationale de la Recherche) |
op_collection_id |
ftanrparis |
language |
English |
topic |
aerosols aerosol retrievals AERONET GRASP [SDU]Sciences of the Universe [physics] [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
spellingShingle |
aerosols aerosol retrievals AERONET GRASP [SDU]Sciences of the Universe [physics] [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] Schuster, Gregory Espinosa, W Ziemba, Luke, D Beyersdorf, Andreas, J Rocha-Lima, Adriana Anderson, Bruce, E Martins, José, C. Dubovik, Oleg Ducos, Fabrice Fuertes, David Lapyonok, Tatyana Shook, M. Derimian, Yevgeny Moore, R. H. A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms |
topic_facet |
aerosols aerosol retrievals AERONET GRASP [SDU]Sciences of the Universe [physics] [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
description |
International audience We have developed a method for evaluating the fidelity of the Aerosol Robotic Network (AERONET) retrieval algorithms by mimicking atmospheric extinction and radiance measurements in a laboratory experiment. This enables radiometric retrievals that use the same sampling volumes, relative humidities, and particle size ranges as observed by other in situ instrumentation in the experiment. We use three Cavity Attenuated Phase Shift (CAPS) monitors for extinction and University of Maryland Baltimore County's (UMBC) three-wavelength Polarized Imaging Nephelometer (PI-Neph) for angular scattering measurements. We subsample the PI-Neph radiance measurements to angles that correspond to AERONET almucantar scans, with simulated solar zenith angles ranging from 50 • to 77 •. These measurements are then used as input to the Generalized Retrieval of Aerosol and Surface Properties (GRASP) algorithm, which retrieves size distributions, complex refractive indices, single-scatter albedos, and bistatic LiDAR ratios for the in situ samples. We obtained retrievals with residuals less than 8% for about 90 samples. Samples were alternately dried or humidified, and size distributions were limited to diameters of less than 1.0 or 2.5 µm by using a cyclone. The single-scatter albedo at 532 nm for these samples ranged from 0.59 to 1.00 when computed with CAPS extinction and Particle Soot Absorption Photometer (PSAP) absorption measurements. The GRASP retrieval provided single-scatter albedos that are highly correlated with the in situ single-scatter albedos, and the correlation coefficients ranged from 0.916 to 0.976, depending upon the simulated solar zenith angle. The GRASP single-scatter albedos exhibited an average absolute bias of +0.023-0.026 with respect to the extinction and absorption measurements for the entire dataset. We also compared the GRASP size distributions to aerodynamic particle size measurements, using densities and aerodynamic shape factors that produce extinctions consistent with our CAPS ... |
author2 |
NASA Langley Research Center Hampton (LaRC) Department of Organic and Macromolecular Chemistry Universiteit Gent = Ghent University (UGENT) 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) GRASP-SAS, Remote Sensing Developments ANR-11-LABX-0005,Cappa,Physiques et Chimie de l'Environnement Atmosphérique(2011) |
format |
Article in Journal/Newspaper |
author |
Schuster, Gregory Espinosa, W Ziemba, Luke, D Beyersdorf, Andreas, J Rocha-Lima, Adriana Anderson, Bruce, E Martins, José, C. Dubovik, Oleg Ducos, Fabrice Fuertes, David Lapyonok, Tatyana Shook, M. Derimian, Yevgeny Moore, R. H. |
author_facet |
Schuster, Gregory Espinosa, W Ziemba, Luke, D Beyersdorf, Andreas, J Rocha-Lima, Adriana Anderson, Bruce, E Martins, José, C. Dubovik, Oleg Ducos, Fabrice Fuertes, David Lapyonok, Tatyana Shook, M. Derimian, Yevgeny Moore, R. H. |
author_sort |
Schuster, Gregory |
title |
A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms |
title_short |
A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms |
title_full |
A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms |
title_fullStr |
A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms |
title_full_unstemmed |
A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms |
title_sort |
laboratory experiment for the statistical evaluation of aerosol retrieval (stear) algorithms |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.science/hal-03008280 https://hal.science/hal-03008280/document https://hal.science/hal-03008280/file/2019_Schuster.pdf https://doi.org/10.3390/rs11050498 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 2072-4292 Remote Sensing https://hal.science/hal-03008280 Remote Sensing, 2019, 11 (5), pp.498. ⟨10.3390/rs11050498⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11050498 hal-03008280 https://hal.science/hal-03008280 https://hal.science/hal-03008280/document https://hal.science/hal-03008280/file/2019_Schuster.pdf doi:10.3390/rs11050498 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/rs11050498 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
5 |
container_start_page |
498 |
_version_ |
1810450521823117312 |