Aerosol optical thickness retrieval over land and water using Global Ozone Monitoring Experiment (GOME) data:

An algorithm for the retrieval of the aerosol optical thickness over land and over water from Global Ozone Monitoring Experiment (GOME) data is presented. The cloud fraction in the GOME pixels is determined using the Fast Retrieval Scheme for Clouds From the Oxygen A Band (FRESCO) algorithm. Surface...

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Main Authors: Kusmierczyk-Michulec, J., Leeuw, G. de
Format: Article in Journal/Newspaper
Language:English
Published: 2005
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:3c92d86d-1c82-4c7e-81ba-04a58c972316
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spelling fttno:oai:tudelft.nl:uuid:3c92d86d-1c82-4c7e-81ba-04a58c972316 2023-05-15T17:35:14+02:00 Aerosol optical thickness retrieval over land and water using Global Ozone Monitoring Experiment (GOME) data: Kusmierczyk-Michulec, J. Leeuw, G. de 2005-01-01 http://resolver.tudelft.nl/uuid:3c92d86d-1c82-4c7e-81ba-04a58c972316 en eng uuid:3c92d86d-1c82-4c7e-81ba-04a58c972316 214523 http://resolver.tudelft.nl/uuid:3c92d86d-1c82-4c7e-81ba-04a58c972316 Journal of Geophysical Research D, 110, 1-15 Aerosol property Algorithm Optical depth Reflectance Spatial distribution article 2005 fttno 2022-04-10T15:50:25Z An algorithm for the retrieval of the aerosol optical thickness over land and over water from Global Ozone Monitoring Experiment (GOME) data is presented. The cloud fraction in the GOME pixels is determined using the Fast Retrieval Scheme for Clouds From the Oxygen A Band (FRESCO) algorithm. Surface contributions to the top of atmosphere reflectance are determined from the GOME surface reflectance database. The aerosol retrieval algorithm uses lookup tables that were created using the radiative transfer model 6S. The algorithm allows retrieving the aerosol types characterized by Angstrom coefficients in the range from -0.1 to 2.8; i.e., the range of values observed by the AERONET ground-based measurements. Validation of the algorithm done using the AERONET Sun photometer data for 12 sites in Europe and Africa, for the year 1997, shows very good agreement. The correlation coefficient between the satellite retrieval and AERONET data for the wavelength of 440 nm is 97%, and for 670 nm it is 94%. Validation of the algorithm for the year 2000 was done for a few sites with similar results. The algorithm has been successfully tested over an island influenced by Saharan dust (i.e., Cape Verde, 16oN, 22oW and over a site located near the Saharan desert (i.e., Bondoukoui, 11oN, 3oW). For other sites located near the Saharan desert such as Bidi Bahn (14oN, 2oW) and Banizombou (13oN, 2oE), the agreement was very good at 440 nm. The algorithm has not been tested over other bright surfaces such as ice-covered regions. Examples of the spatial distribution of the aerosol optical thickness over Europe, north Africa, and the North Atlantic for the year 1997 and 2000 are presented. Article in Journal/Newspaper North Atlantic TU Delft: Institutional Repository (Delft University of Technology)
institution Open Polar
collection TU Delft: Institutional Repository (Delft University of Technology)
op_collection_id fttno
language English
topic Aerosol property
Algorithm
Optical depth
Reflectance
Spatial distribution
spellingShingle Aerosol property
Algorithm
Optical depth
Reflectance
Spatial distribution
Kusmierczyk-Michulec, J.
Leeuw, G. de
Aerosol optical thickness retrieval over land and water using Global Ozone Monitoring Experiment (GOME) data:
topic_facet Aerosol property
Algorithm
Optical depth
Reflectance
Spatial distribution
description An algorithm for the retrieval of the aerosol optical thickness over land and over water from Global Ozone Monitoring Experiment (GOME) data is presented. The cloud fraction in the GOME pixels is determined using the Fast Retrieval Scheme for Clouds From the Oxygen A Band (FRESCO) algorithm. Surface contributions to the top of atmosphere reflectance are determined from the GOME surface reflectance database. The aerosol retrieval algorithm uses lookup tables that were created using the radiative transfer model 6S. The algorithm allows retrieving the aerosol types characterized by Angstrom coefficients in the range from -0.1 to 2.8; i.e., the range of values observed by the AERONET ground-based measurements. Validation of the algorithm done using the AERONET Sun photometer data for 12 sites in Europe and Africa, for the year 1997, shows very good agreement. The correlation coefficient between the satellite retrieval and AERONET data for the wavelength of 440 nm is 97%, and for 670 nm it is 94%. Validation of the algorithm for the year 2000 was done for a few sites with similar results. The algorithm has been successfully tested over an island influenced by Saharan dust (i.e., Cape Verde, 16oN, 22oW and over a site located near the Saharan desert (i.e., Bondoukoui, 11oN, 3oW). For other sites located near the Saharan desert such as Bidi Bahn (14oN, 2oW) and Banizombou (13oN, 2oE), the agreement was very good at 440 nm. The algorithm has not been tested over other bright surfaces such as ice-covered regions. Examples of the spatial distribution of the aerosol optical thickness over Europe, north Africa, and the North Atlantic for the year 1997 and 2000 are presented.
format Article in Journal/Newspaper
author Kusmierczyk-Michulec, J.
Leeuw, G. de
author_facet Kusmierczyk-Michulec, J.
Leeuw, G. de
author_sort Kusmierczyk-Michulec, J.
title Aerosol optical thickness retrieval over land and water using Global Ozone Monitoring Experiment (GOME) data:
title_short Aerosol optical thickness retrieval over land and water using Global Ozone Monitoring Experiment (GOME) data:
title_full Aerosol optical thickness retrieval over land and water using Global Ozone Monitoring Experiment (GOME) data:
title_fullStr Aerosol optical thickness retrieval over land and water using Global Ozone Monitoring Experiment (GOME) data:
title_full_unstemmed Aerosol optical thickness retrieval over land and water using Global Ozone Monitoring Experiment (GOME) data:
title_sort aerosol optical thickness retrieval over land and water using global ozone monitoring experiment (gome) data:
publishDate 2005
url http://resolver.tudelft.nl/uuid:3c92d86d-1c82-4c7e-81ba-04a58c972316
genre North Atlantic
genre_facet North Atlantic
op_source Journal of Geophysical Research D, 110, 1-15
op_relation uuid:3c92d86d-1c82-4c7e-81ba-04a58c972316
214523
http://resolver.tudelft.nl/uuid:3c92d86d-1c82-4c7e-81ba-04a58c972316
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