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The role of polar stratospheric clouds in polar ozoneloss has been well documented. The CALIPSO satellite mission offers a newopportunity to characterize PSCs on spatial and temporal scales previouslyimpossible. A PSC detection algorithm based on a single wavelength thresholdapproach has been developed for CALIPSO. The method appears to accuratelydetect PSCs of all opacities, including tenuous clouds, with a very low rateof false positives and few missed clouds. We applied the algorithm to CALIOPdata acquired during the 2006 Antarctic winter season from 13 June through31 October. The spatial and temporal distribution of CALIPSO PSCobservations is illustrated with weekly maps of PSC occurrence. Theevolution of the 2006 PSC season is depicted by time series of daily PSCfrequency as a function of altitude. Comparisons with "virtual" solaroccultation data indicate that CALIPSO provides a different view of the PSCseason than attained with previous solar occultation satellites.Measurement-based time series of PSC areal coverage andvertically-integrated PSC volume are computed from the CALIOP data. Theobserved area covered with PSCs is significantly smaller than would beinferred from the commonly used temperature-based proxy TNAT but issimilar in magnitude to that inferred from TSTS. The potential ofCALIOP measurements for investigating PSC composition is illustrated usingcombinations of lidar backscatter and volume depolarization for two CALIPSOPSC scenes

Characterization of Polar Stratospheric Clouds with spaceborne lidar: CALIPSO and the 2006 Antarctic season