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Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm

This study evaluates the potential of using aerosol optical depth (τ(a)) measurements to characterise the microphysical and optical properties of atmospheric aerosols. With this aim, we used the recently developed GRASP (Generalized Retrieval of Aerosol and Surface Properties) code for numerical tes...

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Autores principales: Torres, Benjamin, Dubovik, Oleg, Fuertes, David, Schuster, Gregory, Cachorro, Victoria Eugenia, Lapyonok, Tatsiana, Goloub, Philippe, Blarel, Luc, Barreto, Africa, Mallet, Marc, Toledano, Carlos, Tanré, Didier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837514/
https://www.ncbi.nlm.nih.gov/pubmed/33505530
http://dx.doi.org/10.5194/amt-10-3743-2017
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author Torres, Benjamin
Dubovik, Oleg
Fuertes, David
Schuster, Gregory
Cachorro, Victoria Eugenia
Lapyonok, Tatsiana
Goloub, Philippe
Blarel, Luc
Barreto, Africa
Mallet, Marc
Toledano, Carlos
Tanré, Didier
author_facet Torres, Benjamin
Dubovik, Oleg
Fuertes, David
Schuster, Gregory
Cachorro, Victoria Eugenia
Lapyonok, Tatsiana
Goloub, Philippe
Blarel, Luc
Barreto, Africa
Mallet, Marc
Toledano, Carlos
Tanré, Didier
author_sort Torres, Benjamin
collection PubMed
description This study evaluates the potential of using aerosol optical depth (τ(a)) measurements to characterise the microphysical and optical properties of atmospheric aerosols. With this aim, we used the recently developed GRASP (Generalized Retrieval of Aerosol and Surface Properties) code for numerical testing of six different aerosol models with different aerosol loads. The direct numerical simulations (self-consistency tests) indicate that the GRASP-AOD retrieval provides modal aerosol optical depths (fine and coarse) to within 0.01 of the input values. The retrieval of the fine-mode radius, width and volume concentration are stable and precise if the real part of the refractive index is known. The coarse-mode properties are less accurate, but they are significantly improved when additional a priori information is available. The tests with random simulated errors show that the uncertainty in the bimodal log-normal size distribution parameters increases as the aerosol load decreases. Similarly, the reduction in the spectral range diminishes the stability of the retrieved parameters. In addition to these numerical studies, we used optical depth observations at eight AERONET locations to validate our results with the standard AERONET inversion products. We found that bimodal log-normal size distributions serve as useful input assumptions, especially when the measurements have inadequate spectral coverage and/or limited accuracy, such as moon photometry. Comparisons of the mode median radii between GRASP-AOD and AERONET indicate average differences of 0.013 μm for the fine mode and typical values of 0.2–0.3 μm for the coarse mode. The dominant mode (i.e. fine or coarse) indicates a 10 % difference in mode radii between the GRASP-AOD and AERONET inversions, and the average of the difference in volume concentration is around 17 % for both modes. The retrieved values of the fine-mode τ(a)(500) using GRASP-AOD are generally between those values obtained by the standard AERONET inversion and the values obtained by the AERONET spectral deconvolution algorithm (SDA), with differences typically lower than 0.02 between GRASP-AOD and both algorithms. Finally, we present some examples of application of GRASP-AOD inversion using moon photometry and the airborne PLASMA sun photometer during the ChArMEx summer 2013 campaign in the western Mediterranean.
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spelling pubmed-78375142021-01-26 Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm Torres, Benjamin Dubovik, Oleg Fuertes, David Schuster, Gregory Cachorro, Victoria Eugenia Lapyonok, Tatsiana Goloub, Philippe Blarel, Luc Barreto, Africa Mallet, Marc Toledano, Carlos Tanré, Didier Atmos Meas Tech Article This study evaluates the potential of using aerosol optical depth (τ(a)) measurements to characterise the microphysical and optical properties of atmospheric aerosols. With this aim, we used the recently developed GRASP (Generalized Retrieval of Aerosol and Surface Properties) code for numerical testing of six different aerosol models with different aerosol loads. The direct numerical simulations (self-consistency tests) indicate that the GRASP-AOD retrieval provides modal aerosol optical depths (fine and coarse) to within 0.01 of the input values. The retrieval of the fine-mode radius, width and volume concentration are stable and precise if the real part of the refractive index is known. The coarse-mode properties are less accurate, but they are significantly improved when additional a priori information is available. The tests with random simulated errors show that the uncertainty in the bimodal log-normal size distribution parameters increases as the aerosol load decreases. Similarly, the reduction in the spectral range diminishes the stability of the retrieved parameters. In addition to these numerical studies, we used optical depth observations at eight AERONET locations to validate our results with the standard AERONET inversion products. We found that bimodal log-normal size distributions serve as useful input assumptions, especially when the measurements have inadequate spectral coverage and/or limited accuracy, such as moon photometry. Comparisons of the mode median radii between GRASP-AOD and AERONET indicate average differences of 0.013 μm for the fine mode and typical values of 0.2–0.3 μm for the coarse mode. The dominant mode (i.e. fine or coarse) indicates a 10 % difference in mode radii between the GRASP-AOD and AERONET inversions, and the average of the difference in volume concentration is around 17 % for both modes. The retrieved values of the fine-mode τ(a)(500) using GRASP-AOD are generally between those values obtained by the standard AERONET inversion and the values obtained by the AERONET spectral deconvolution algorithm (SDA), with differences typically lower than 0.02 between GRASP-AOD and both algorithms. Finally, we present some examples of application of GRASP-AOD inversion using moon photometry and the airborne PLASMA sun photometer during the ChArMEx summer 2013 campaign in the western Mediterranean. 2017-10-12 2017-10 /pmc/articles/PMC7837514/ /pubmed/33505530 http://dx.doi.org/10.5194/amt-10-3743-2017 Text en http://creativecommons.org/licenses/bync/3.0/ This work is distributed under the Creative Commons Attribution 3.0 License.
spellingShingle Article
Torres, Benjamin
Dubovik, Oleg
Fuertes, David
Schuster, Gregory
Cachorro, Victoria Eugenia
Lapyonok, Tatsiana
Goloub, Philippe
Blarel, Luc
Barreto, Africa
Mallet, Marc
Toledano, Carlos
Tanré, Didier
Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm
title Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm
title_full Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm
title_fullStr Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm
title_full_unstemmed Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm
title_short Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm
title_sort advanced characterisation of aerosol size properties from measurements of spectral optical depth using the grasp algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837514/
https://www.ncbi.nlm.nih.gov/pubmed/33505530
http://dx.doi.org/10.5194/amt-10-3743-2017
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