DocumentCode
299117
Title
Evaluation of aerosol profile variations from satellite measurements through kernel functions for a stratified atmosphere
Author
Gabella, M. ; Guzzi, R. ; Kisselev, V. ; Perona, G.
Author_Institution
Dipartimento di Elettronica, Politecnico di Torino, Italy
Volume
2
fYear
34881
fDate
10-14 Jul1995
Firstpage
1183
Abstract
A linear relationship between the variations in radiance measured in the visible and the near infrared by satellites and those of aerosol extinction profile have been derived, hence reducing the problem to that of solving a Fredholm integral equation of the first kind. Single scattering approximation and a limitation in the aerosol profile variations represent the constraints for the validity of the mathematics procedure. The retrieved profiles, by the linear constrained inversion method, have proved to be accurate in the lower atmosphere, even if simultaneous changes are taking place in the stratosphere. Vice-versa, variations in the stratosphere are retrieved with a lesser degree of accuracy and only as long as no variations occur in the tropospheric haze
Keywords
Fredholm integral equations; aerosols; atmospheric composition; atmospheric light propagation; atmospheric optics; atmospheric techniques; inverse problems; remote sensing; stratosphere; troposphere; Fredholm integral equation; IR extinction; aerosol content; haze; inverse problem; inversion method; kernel functions; light scattering; linear relationship; measurement technique; meteorology; near infrared; optical remote sensing; optics; satellite measurement; single scattering approximation; stratified atmosphere; stratosphere; troposphere; vertical profile variation; visible; Aerosols; Atmospheric measurements; Extinction coefficients; Integral equations; Kernel; Mathematics; Satellites; Scattering; Scattering parameters; Sea measurements; Terrestrial atmosphere; Wavelength measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.521178
Filename
521178
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