Articles | Volume 11, issue 1
Atmos. Meas. Tech., 11, 633–649, 2018
https://doi.org/10.5194/amt-11-633-2018
Atmos. Meas. Tech., 11, 633–649, 2018
https://doi.org/10.5194/amt-11-633-2018

Research article 01 Feb 2018

Research article | 01 Feb 2018

Characterization of AVHRR global cloud detection sensitivity based on CALIPSO-CALIOP cloud optical thickness information: demonstration of results based on the CM SAF CLARA-A2 climate data record

Karl-Göran Karlsson and Nina Håkansson

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Cited articles

Barja, B. and Antuña, J. C.: The effect of optically thin cirrus clouds on solar radiation in Camagüey, Cuba, Atmos. Chem. Phys., 11, 8625–8634, https://doi.org/10.5194/acp-11-8625-2011, 2011.
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteor. Soc., 2011, 1023–1043, https://doi.org/10.1175/2011BAMS2856.1, 2011.
Charlson, R. J., Ackermann, A. S., Bender, F. A.-M., Anderson, T. L., and Liu, Z.: On the climate forcing consequences of the albedo continuum between cloudy and clear air, Tellus, 59B, 715–727, https://doi.org/10.1111/j.1600-0889.2007.00297.x, 2007.
CM SAF 1: Validation Report – CM SAF Cloud, Albedo, Radiation data record, AVHRR-based, Edition 2 (CLARA-A2) – Cloud Products, SAF/CM/DWD/VAL/GAC/CLD version 2.3, https://doi.org/10.5676/EUM_SAF_CM/CLARA_AVHRR/V002, 2017.
CM SAF 2: Algorithm Theoretical Basis Document – CM SAF Cloud, Albedo, Radiation data record, AVHRR-based, Edition 2 (CLARA-A2) – Cloud Fraction, SAF/CM/DWD/ATBD/CMA_AVHRR version 2.0, https://doi.org/10.5676/EUM_SAF_CM/CLARA_AVHRR/V002, 2017.
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Short summary
Data from the high-sensitivity CALIOP cloud lidar onboard the CALIPSO satellite have been used to evaluate cloud amounts estimated from satellite imagery and, specifically, from the climate data record CLARA-A2. The main purpose has been to study the limit of how thin clouds that can be detected efficiently (i.e., detected at the 50 % level) in CLARA-A2 data and how this limit varies globally. The study revealed very large geographical differences in the cloud detection efficiency.