A Midlatitude Cirrus Cloud Climatology from the Facility for Atmospheric Remote Sensing. Part II: Microphysical Properties Derived from Lidar Depolarization

By Kenneth Sassen, S. Benson. 2001

255 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms (2009, background): “Clouds containing even small fractions of oriented crystals exhibit decreased depolarization and anomalously high backscatter (Sassen and Benson 2001).”
CALIPSO/CALIOP Cloud Phase Discrimination Algorithm (2009, result): “This is consistent with the depolarization statis- tics of ground measurements and theoretical calculations (Platt et al. 1987, 1998; Sassen and Benson 2001; You et al. 2006).”
A microphysics guide to cirrus clouds – Part 1: Cirrus types (2015, background): “Altogether, about 94 h of flight time was spent in cirrus clouds, thus considerably extending the IWC climatologies of Schiller et al. (2008) (27 h) and Luebke et al.”
Study of Planar Ice Crystal Orientations in Ice Clouds from Scanning Polarization Lidar Observations (2005, methodology): “=r /[1N h/ N r   h/ r  ] (1) where  r refers to the linear depolarization ratio for randomly-oriented particles, and N and β are the relative concentrations and backscattering coefficients for horizontally (h) and randomly (r) oriented particles (Sassen and Benson, 2001).”
About the effects of polarising optics on lidar signals and the Δ90 calibration (2016, background): “004) are usually a number of times higher, which makes it difficult to use for calibration with a simple model as δm = Aδ + B ((Sassen and Benson, 2001; Reichardt et al., 2003); see also S.”