Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements
This paper presents a new method for simultaneously retrieving aerosol and surface reflectance properties from combined airborne and ground-based direct and diffuse radiometric measurements. The method is based on the standard Aerosol Robotic Network (AERONET) method for retrieving aerosol size dist...
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ftcopernicus:oai:publications.copernicus.org:acp2147 2023-05-15T13:06:30+02:00 Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements Gatebe, C. K. Dubovik, O. King, M. D. Sinyuk, A. 2018-01-15 application/pdf https://doi.org/10.5194/acp-10-2777-2010 https://www.atmos-chem-phys.net/10/2777/2010/ eng eng doi:10.5194/acp-10-2777-2010 https://www.atmos-chem-phys.net/10/2777/2010/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-10-2777-2010 2019-12-24T09:57:28Z This paper presents a new method for simultaneously retrieving aerosol and surface reflectance properties from combined airborne and ground-based direct and diffuse radiometric measurements. The method is based on the standard Aerosol Robotic Network (AERONET) method for retrieving aerosol size distribution, complex index of refraction, and single scattering albedo, but modified to retrieve aerosol properties in two layers, below and above the aircraft, and parameters on surface optical properties from combined datasets (Cloud Absorption Radiometer (CAR) and AERONET data). A key advantage of this method is the inversion of all available spectral and angular data at the same time, while accounting for the influence of noise in the inversion procedure using statistical optimization. The wide spectral (0.34–2.30 μm) and angular range (180°) of the CAR instrument, combined with observations from an AERONET sunphotometer, provide sufficient measurement constraints for characterizing aerosol and surface properties with minimal assumptions. The robustness of the method was tested on observations made during four different field campaigns: (a) the Southern African Regional Science Initiative 2000 over Mongu, Zambia, (b) the Intercontinental Transport Experiment-Phase B over Mexico City, Mexico (c) Cloud and Land Surface Interaction Campaign over the Atmospheric Radiation Measurement (ARM) Central Facility, Oklahoma, USA, and (d) the Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) over Elson Lagoon in Barrow, Alaska, USA. The four areas are dominated by different surface characteristics and aerosol types, and therefore provide good test cases for the new inversion method. Text Aerosol Robotic Network albedo Arctic Barrow Alaska Copernicus Publications: E-Journals Arctic Atmospheric Chemistry and Physics 10 6 2777 2794 |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
This paper presents a new method for simultaneously retrieving aerosol and surface reflectance properties from combined airborne and ground-based direct and diffuse radiometric measurements. The method is based on the standard Aerosol Robotic Network (AERONET) method for retrieving aerosol size distribution, complex index of refraction, and single scattering albedo, but modified to retrieve aerosol properties in two layers, below and above the aircraft, and parameters on surface optical properties from combined datasets (Cloud Absorption Radiometer (CAR) and AERONET data). A key advantage of this method is the inversion of all available spectral and angular data at the same time, while accounting for the influence of noise in the inversion procedure using statistical optimization. The wide spectral (0.34–2.30 μm) and angular range (180°) of the CAR instrument, combined with observations from an AERONET sunphotometer, provide sufficient measurement constraints for characterizing aerosol and surface properties with minimal assumptions. The robustness of the method was tested on observations made during four different field campaigns: (a) the Southern African Regional Science Initiative 2000 over Mongu, Zambia, (b) the Intercontinental Transport Experiment-Phase B over Mexico City, Mexico (c) Cloud and Land Surface Interaction Campaign over the Atmospheric Radiation Measurement (ARM) Central Facility, Oklahoma, USA, and (d) the Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) over Elson Lagoon in Barrow, Alaska, USA. The four areas are dominated by different surface characteristics and aerosol types, and therefore provide good test cases for the new inversion method. |
format |
Text |
author |
Gatebe, C. K. Dubovik, O. King, M. D. Sinyuk, A. |
spellingShingle |
Gatebe, C. K. Dubovik, O. King, M. D. Sinyuk, A. Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements |
author_facet |
Gatebe, C. K. Dubovik, O. King, M. D. Sinyuk, A. |
author_sort |
Gatebe, C. K. |
title |
Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements |
title_short |
Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements |
title_full |
Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements |
title_fullStr |
Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements |
title_full_unstemmed |
Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements |
title_sort |
simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements |
publishDate |
2018 |
url |
https://doi.org/10.5194/acp-10-2777-2010 https://www.atmos-chem-phys.net/10/2777/2010/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Aerosol Robotic Network albedo Arctic Barrow Alaska |
genre_facet |
Aerosol Robotic Network albedo Arctic Barrow Alaska |
op_source |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-10-2777-2010 https://www.atmos-chem-phys.net/10/2777/2010/ |
op_doi |
https://doi.org/10.5194/acp-10-2777-2010 |
container_title |
Atmospheric Chemistry and Physics |
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10 |
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6 |
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2777 |
op_container_end_page |
2794 |
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1766008584875802624 |