PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
Lidar calibration at the 1064-nm channel is explored by using the low-level water-phase cloud and high cirrus cloud.
Based on a known constant of lidar ratio in the optically thick water cloud, the lidar calibration constant is estimated by
integrating lidar returns in the cloud. By using wavelength independence of cirrus cloud backscatter, the lidar constant is
analyzed with the two-wavelength signals ratio at 532-nm and 1064-nm after correcting aerosol transmittance from
sunphotometer measurement. Calibration constants by these two separate methods are compared on the same day and
show consistency with the relative difference of less than 30% in general. We further verify the calibration constant by
regressing lidar signals with calibrated ceilometer data in the low planetary boundary layer (PBL). Moreover, the
calibration result is tested by applying it to estimate aerosol backscatter at 1064-nm and Angstrom exponent. In the end,
normalized daily averages of lidar constants over two-month period are presented.
Yonghua Wu,Shuki Chaw,Barry Gross,Fred Moshary, andSam Ahmed
"Comparison of lidar calibration at 1064-nm channel using the water-phase and cirrus clouds", Proc. SPIE 7479, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing V, 74790V (9 October 2009); https://doi.org/10.1117/12.830643
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Yonghua Wu, Shuki Chaw, Barry Gross, Fred Moshary, Sam Ahmed, "Comparison of lidar calibration at 1064-nm channel using the water-phase and cirrus clouds," Proc. SPIE 7479, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing V, 74790V (9 October 2009); https://doi.org/10.1117/12.830643