z-logo
open-access-imgOpen Access
CALIPSO Lidar Calibration Algorithms. Part I: Nighttime 532-nm Parallel Channel and 532-nm Perpendicular Channel
Author(s) -
Kathleen A. Powell,
C. A. Hostetler,
Mark Vaughan,
Kam-Pui Lee,
Charles R. Trepte,
Raymond R. Rogers,
David M. Winker,
Zhaoyan Liu,
Ralph E. Kuehn,
William H. Hunt,
Stuart A. Young
Publication year - 2009
Publication title -
journal of atmospheric and oceanic technology
Language(s) - English
Resource type - Journals
eISSN - 1520-0426
pISSN - 0739-0572
DOI - 10.1175/2009jtecha1242.1
Subject(s) - lidar , remote sensing , calibration , backscatter (email) , satellite , environmental science , channel (broadcasting) , aerosol , computer science , geology , meteorology , physics , telecommunications , wireless , quantum mechanics , astronomy
The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) mission was launched in April 2006 and has continuously acquired collocated multisensor observations of the spatial and optical properties of clouds and aerosols in the earth’s atmosphere. The primary payload aboard CALIPSO is the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), which makes range-resolved measurements of elastic backscatter at 532 and 1064 nm and linear depolarization ratios at 532 nm. CALIOP measurements are important in reducing uncertainties that currently limit understanding of the global climate system, and it is essential that these measurements be accurately calibrated. This work describes the procedures used to calibrate the 532-nm measurements acquired during the nighttime portions of the CALIPSO orbits. Accurate nighttime calibration of the 532-nm parallel-channel data is fundamental to the success of the CALIOP measurement scheme, because the nighttime calibration is used to infer...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom