Title :
LITE aerosol retrievals revisited in support of CALIPSO and GLAS
Author :
Reagan, J.A. ; Wang, X. ; Fang, H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
The Lidar In-space Technology Experiment (LITE) shuttle mission demonstrated that spaceborne lidar offers an effective means for detecting the spatial features of significant regional aerosol concentrations resulting, for example, from Saharan dust, African and South American biomass burning, urban plumes and the like. Quantitative retrievals of aerosol backscatter and extinction profiles have also been obtained from the LITE 532 nm data using initial LITE calibrations and preliminary assumptions/modeling constraints regarding the aerosol extinction-to-backscatter ratio, Sa, or auxiliary transmittance information. Two upcoming satellite lidar missions, GLAS (Geoscience Laser Altimeter System) and CALIPSO(Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) have provided impetus for continued analysis of LITE data as a testbed for developing and validating improved aerosol retrieval approaches for these satellite missions. This paper presents updated LITE aerosol retrievals, including uncertainty assessments, enabled by revised calibration approaches (including the 1064 nm channel) and techniques/models for reducing the range in Sa values assumed for the retrievals.
Keywords :
aerosols; air pollution; atmospheric composition; atmospheric techniques; optical radar; remote sensing by laser beam; 532 nm; CALIPSO; Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations; GLAS; Geoscience Laser Altimeter System; LITE; Lidar In-space Technology Experiment; aerosol; air pollution; atmosphere; laser remote sensing; measurement technique; regional concentrations; satellite remote sensing; spaceborne lidar; spatial features; Aerosols; Backscatter; Biomass; Calibration; Computer vision; Extinction coefficients; Information retrieval; Laser radar; Satellites; Space technology;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026122