An error in the labeling of Fig. 1 has been discovered in Protat et al. (2010). The labeling between the radar-only and radar–lidar parts of the ice cloud microphysical retrieval was inverted. The new figure and caption should be as in Fig. 1 below. The discussion of Fig. 1 also needs to be slightly revised, since it relies on the previous wrong labeling of Fig. 1 in Protat et al. (2010). The new Fig. 1 shows that the radar-only part of the Delanoë and Hogan (2008) retrieval actually dominates the statistics below 12-km height. However, we still believe that although the radar–lidar part of the retrieval is not the dominant part in the statistics below 12 km, the ground-based retrievals can be taken as the reference for the evaluation of the CloudSat ice microphysical products. The main reason for that is that the Delanoë and Hogan (2008) radar-only retrieval is an adaptive procedure, which makes use of the radar–lidar part of the retrieval to refine the radar-only retrieval on a cloud-to-cloud basis. It is also clearly obtained in Protat et al. (2010, see their Fig. 5) that the radar–lidar and radar-only parts of the Delanoë and Hogan (2008) retrieval methods do produce very similar statistical microphysical properties, in much better agreement than between the ground-based and CloudSat ice microphysics retrievals.
Vertical profile of the percentage of radar–lidar (dashed) and radar-only (dotted) parts of the Delanoë and Hogan (2008) retrieval. This has been obtained from the 3 yr of Darwin radar–lidar observations used in Protat et al. (2010).
Citation: Journal of Atmospheric and Oceanic Technology 28, 5; 10.1175/2010JTECHA1504.1
REFERENCES
Delanoë, J., and Hogan R. J. , 2008: A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer. J. Geophys. Res., 113, D07204, doi:10.1029/2007JD009000.
Protat, A., Delanoë J. , O’Connor E. , and L’Ecuyer T. , 2010: The evaluation of CloudSat and CALIPSO ice microphysical products using ground-based cloud radar and lidar observations. J. Atmos. Oceanic Technol., 27, 793–810.
