Articles | Volume 12, issue 1
Atmos. Meas. Tech., 12, 51–82, 2019

Special issue: CALIPSO version 4 algorithms and data products

Atmos. Meas. Tech., 12, 51–82, 2019

Research article 03 Jan 2019

Research article | 03 Jan 2019

CALIPSO lidar calibration at 1064 nm: version 4 algorithm

Mark Vaughan et al.

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Cited articles

Ansmann, A., Bösenberg, J., Brogniez, G., Elouragini, S., Flamant, P. H., Klapheck, K., Linn, H., Menenger, L., Michaelis, W., Riebesell, M., Senff, C., Thro, P.-Y., Wandinger, U., and Weitkamp, C.: Lidar Network Observations of Cirrus Morphological and Scattering Properties during the International Cirrus Experiment 1989: The 18 October 1989 Case Study and Statistical Analysis, J. Appl. Meteorol., 32, 1608–1622,<1608:LNOOCM>2.0.CO;2, 1993. 
Avery, M., Ryan, R., Getzewich, B., Vaughan, M., Winker, D., Hu, Y., Garnier, A., Pelon, J., Cai, X., and Verhappen, C. A.: Impact of Near-Nadir Viewing Angles on CALIOP V4.1 Cloud Thermodynamic Phase Assignments, in preparation, 2018. 
Beyerle, G., M. Gross, R., Haner, D. A., Kjome, N. T., McDermid, I. S., McGee, T. J., Rosen, J. M., Schäfer, H.-J., and Schrems, O.: A Lidar and Backscatter Sonde Measurement Campaign at Table Mountain during February–March 1997: Observations of Cirrus Clouds, J. Atmos. Sci., 58, 1275–1287,<1275:ALABSM>2.0.CO;2, 2001. 
Bufton, J. L., Hoge, F. E., and Swift, R. N.: Airborne measurements of laser backscatter from the ocean surface, Appl. Opt., 22, 2603–2618,, 1983. 
Burton, S. P., Ferrare, R. A., Hostetler, C. A., Hair, J. W., Kittaka, C., Vaughan, M. A., Obland, M. D., Rogers, R. R., Cook, A. L., Harper, D. B., and Remer, L. A.: Using Airborne High Spectral Resolution Lidar Data to Evaluate Combined Active Plus Passive Retrievals of Aerosol Extinction Profiles, J. Geophys. Res., 115, D00H15,, 2010. 
Short summary
The version 4 (V4) release of the CALIPSO data products includes substantial improvements to the calibration of the CALIOP 1064 nm channel. In this paper we review the fundamentals of 1064 nm lidar calibration, explain the motivations for the changes made to the algorithm, and describe the mechanics of the V4 calibration technique. Internal consistency checks and comparisons to collocated high spectral resolution lidar measurements show the V4 1064 nm calibration coefficients to within ~ 3 %.