Title :
Aerosol optical thickness retrieval from Sun photometer measurements
Author :
Ignatov, A. ; Dergileva, I. ; Ratner, Yu. ; Sakerin, S. ; Kabanov, D.
Author_Institution :
Satellite Res. Lab., NOAA/NESDIS, Washington, DC, USA
Abstract :
Aerosol optical thickness (AOT) is usually retrieved from Sun photometer (SP) signal in three steps: (1) SP calibration (determination of “zero signal” I0); (2) retrieval of the total optical thickness; (3) removal of the molecular scattering and absorption. This procedure may result in biased I0 and erroneous AOT for shortwave SP filters of finite width and those contaminated by gaseous absorption. Applying the linear Langley plot after correction of the SP signal for the effects of gaseous scattering and absorption might appear superior for those channels as compared to the traditional procedure, Reagan et al. (1987). The present authors use the LOWTRAN7 calculations to compare the results of both approaches for all channels used in the SP oceanic campaign on board the Research Vessel Akademik Vernadsky in summer of 1991, Ignatov et al. (1993). The scheme for processing the SP data is outlined, and experimental AOT for shortwave channels are presented. Statistical examination of the retrieved AOT in different SP channels allows one to estimate both systematic and random errors in the retrieved AOT
Keywords :
aerosols; atmospheric composition; atmospheric optics; atmospheric techniques; meteorology; photometry; remote sensing; 400 to 1200 nm; IR infrared; LOWTRAN7 calculations; Sun photometer; absorption; aerosol; atmosphere; calibration; composition aerosol; data processing; light visible; linear Langley plot; measurement technique; meteorology; molecular scattering; optical thickness retrieval; optics; photometry; signal processing; Absorption; Aerosols; Atmosphere; Optical filters; Optical scattering; Optical sensors; Optical variables control; Photometry; Sun; Thickness measurement;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399479