Aerosol radiative forcing from GEO satellite data over land surfaces

Aerosols direct and indirect effects on the Earth's climate are widely recognized but have yet to be adequately quantified. Difficulties arise due to the very high spatial and temporal variability of aerosols, which is a major cause of uncertainties in radiative forcing studies. The effective m...

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Published in:SPIE Proceedings, Remote Sensing of Clouds and the Atmosphere X
Main Authors: Costa, Maria João, Silva, Ana Maria
Other Authors: Schäfer, Klaus, Comerón, Adolfo, Slusser, James, Picard, Richard, Carleer, Michel, Sifakis, Nicolaos
Format: Article in Journal/Newspaper
Language:English
Published: SPIE - International Society for optics and Photonics 2005
Subjects:
Online Access:http://hdl.handle.net/10174/5609
https://doi.org/10.1117/12.627646
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spelling ftunivevora:oai:dspace.uevora.pt:10174/5609 2023-05-15T13:07:13+02:00 Aerosol radiative forcing from GEO satellite data over land surfaces Costa, Maria João Silva, Ana Maria Schäfer, Klaus Comerón, Adolfo Slusser, James Picard, Richard Carleer, Michel Sifakis, Nicolaos 2005-11 http://hdl.handle.net/10174/5609 https://doi.org/10.1117/12.627646 eng eng SPIE - International Society for optics and Photonics http://hdl.handle.net/10174/5609 FIS - Artigos em Livros de Actas/Proceedings mjcosta@uevora.pt asilva@uevora.pt 244 doi:10.1117/12.627646 restrictedAccess aerosol GEO satellite article 2005 ftunivevora https://doi.org/10.1117/12.627646 2021-05-02T09:02:53Z Aerosols direct and indirect effects on the Earth's climate are widely recognized but have yet to be adequately quantified. Difficulties arise due to the very high spatial and temporal variability of aerosols, which is a major cause of uncertainties in radiative forcing studies. The effective monitoring of the global aerosol distribution is only made possible by satellite monitoring and this is the reason why the interest in aerosol observations from satellite passive radiometers is steadily increasing. From the point of view of the study of land surfaces, the atmosphere with its constituents represents an obscurant whose effects should be as much as possible eliminated, being this process sometimes referred to as atmospheric correction. In absence of clouds and using spectral intervals where gas absorption can be avoided to a great extent, only the aerosol effect remains to be corrected. The monitoring of the aerosol particles present in the atmosphere is then crucial to succeed in doing an accurate atmospheric correction, otherwise the surface properties may be inadequately characterised. However, the atmospheric correction over land surfaces turns out to be a difficult task since surface reflection competes with the atmospheric component of the signal. On the other hand, a single mean pre-established aerosol characterisation would not be sufficient for this purpose due to very high spatial and temporal variability of aerosols and their unpredictability, especially what concerns particulary intense "events" such as biomass burning and forest fires, desert dust episodes and volcanic eruptions. In this context, an operational methodology has been developed at the University of Evora - Evora Geophysics Centre (CGE), in the framework of the Satellite Application Facility for Land Surface Analysis - Land SAF, to derive an Aerosol Product from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) data, flying on the Geostationary (GEO) satellite system Meteosat-8. The aerosol characterization obtained is used to calculate the fluxes and estimate the aerosol radiative forcing at the top of the atmosphere. The methodology along with the results of the aerosol properties and radiative forcing using SEVIRI images is presented. The aerosol optical thickness results are compared with ground-based measurements from the Aerosol Robotic NETwork (AERONET), to assess the accuracy of the methodology presented. Article in Journal/Newspaper Aerosol Robotic Network Repositório Científico da Universidade de Évora SPIE Proceedings, Remote Sensing of Clouds and the Atmosphere X 5979 597921
institution Open Polar
collection Repositório Científico da Universidade de Évora
op_collection_id ftunivevora
language English
topic aerosol
GEO satellite
spellingShingle aerosol
GEO satellite
Costa, Maria João
Silva, Ana Maria
Aerosol radiative forcing from GEO satellite data over land surfaces
topic_facet aerosol
GEO satellite
description Aerosols direct and indirect effects on the Earth's climate are widely recognized but have yet to be adequately quantified. Difficulties arise due to the very high spatial and temporal variability of aerosols, which is a major cause of uncertainties in radiative forcing studies. The effective monitoring of the global aerosol distribution is only made possible by satellite monitoring and this is the reason why the interest in aerosol observations from satellite passive radiometers is steadily increasing. From the point of view of the study of land surfaces, the atmosphere with its constituents represents an obscurant whose effects should be as much as possible eliminated, being this process sometimes referred to as atmospheric correction. In absence of clouds and using spectral intervals where gas absorption can be avoided to a great extent, only the aerosol effect remains to be corrected. The monitoring of the aerosol particles present in the atmosphere is then crucial to succeed in doing an accurate atmospheric correction, otherwise the surface properties may be inadequately characterised. However, the atmospheric correction over land surfaces turns out to be a difficult task since surface reflection competes with the atmospheric component of the signal. On the other hand, a single mean pre-established aerosol characterisation would not be sufficient for this purpose due to very high spatial and temporal variability of aerosols and their unpredictability, especially what concerns particulary intense "events" such as biomass burning and forest fires, desert dust episodes and volcanic eruptions. In this context, an operational methodology has been developed at the University of Evora - Evora Geophysics Centre (CGE), in the framework of the Satellite Application Facility for Land Surface Analysis - Land SAF, to derive an Aerosol Product from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) data, flying on the Geostationary (GEO) satellite system Meteosat-8. The aerosol characterization obtained is used to calculate the fluxes and estimate the aerosol radiative forcing at the top of the atmosphere. The methodology along with the results of the aerosol properties and radiative forcing using SEVIRI images is presented. The aerosol optical thickness results are compared with ground-based measurements from the Aerosol Robotic NETwork (AERONET), to assess the accuracy of the methodology presented.
author2 Schäfer, Klaus
Comerón, Adolfo
Slusser, James
Picard, Richard
Carleer, Michel
Sifakis, Nicolaos
format Article in Journal/Newspaper
author Costa, Maria João
Silva, Ana Maria
author_facet Costa, Maria João
Silva, Ana Maria
author_sort Costa, Maria João
title Aerosol radiative forcing from GEO satellite data over land surfaces
title_short Aerosol radiative forcing from GEO satellite data over land surfaces
title_full Aerosol radiative forcing from GEO satellite data over land surfaces
title_fullStr Aerosol radiative forcing from GEO satellite data over land surfaces
title_full_unstemmed Aerosol radiative forcing from GEO satellite data over land surfaces
title_sort aerosol radiative forcing from geo satellite data over land surfaces
publisher SPIE - International Society for optics and Photonics
publishDate 2005
url http://hdl.handle.net/10174/5609
https://doi.org/10.1117/12.627646
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation http://hdl.handle.net/10174/5609
FIS - Artigos em Livros de Actas/Proceedings
mjcosta@uevora.pt
asilva@uevora.pt
244
doi:10.1117/12.627646
op_rights restrictedAccess
op_doi https://doi.org/10.1117/12.627646
container_title SPIE Proceedings, Remote Sensing of Clouds and the Atmosphere X
container_volume 5979
container_start_page 597921
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