DocumentCode
340065
Title
Retrieval of aerosol properties over land and ocean by exploiting the synergy of GOME and ATSR-2 data
Author
Holzer-Popp, Thomas ; Schroedter, Marion
Author_Institution
Deutsches Fenerkundungsdatenzentrum, Deutsches Zentrum fur Luft- und Raumfahrt e.V., Wessling, Germany
Volume
1
fYear
1999
fDate
1999
Firstpage
359
Abstract
Satellite observation of aerosols is limited to the oceans or UV absorbing aerosols. To overcome these restrictions the new synergetic aerosol retrieval method SYNAER (synergetic aerosol retrieval) was developed. SYNAER delivers boundary layer aerosol optical thickness (BLAOT) and type over both land and ocean. The high spatial resolution of the radiometer ATSR-2 permits cloud detection, BLAOT calculation over automatically selected dark pixels and surface albedo correction for a set of different boundary layer aerosol mixtures. After spatial mapping and integration of ATSR-pixels to pixels of the spectrometer GOME these parameters are used to simulate spectra for the same set of different aerosol mixtures. A least square fit of these spectra to the measured GOME spectrum delivers the BLAOT value and the aerosol mixture. First case studies using ground based sun-photometer measurements show a good agreement
Keywords
aerosols; atmospheric boundary layer; atmospheric optics; atmospheric techniques; remote sensing; ATSR-2 data; BLAOT calculation; GOME data; aerosol properties; boundary layer aerosol optical thickness; cloud detection; ground based sun-photometer measurements; least square fit; satellite observation; spatial resolution; spectra; surface albedo correction; synergetic aerosol retrieval method; type; Aerosols; Clouds; Oceans; Radiometry; Satellite broadcasting; Sea measurements; Sea surface; Spatial resolution; Spectroscopy; Surface fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location
Hamburg
Print_ISBN
0-7803-5207-6
Type
conf
DOI
10.1109/IGARSS.1999.773497
Filename
773497
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