Toward More Accurate Retrievals of Ice Water Content from Radar Measurements of Clouds

By Chunlei Liu, Anthony Illingworth. 2000

187 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/706015f7372db40878f1da30e6999dfe893bd599

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Citations in the corpus

Tropical composition, cloud and climate coupling experiment validation for cirrus cloud profiling retrieval using cloudsat radar and CALIPSO lidar (2010, background): “The prior knowledge can come from empirical relations derived from extensive in situ measurements, such as IWC and Ze relations [Liu and Illingworth, 2000] or normalized number concentration with temperature [Delanoë and Hogan, 2008], or from other validated algorithm estimations in the literature.”
Parametrization of ice‐particle size distributions for mid‐latitude stratiform cloud (2005, methodology): “Ideally, we would like to reducethe numberof momentsrequired to predictthe PSD from two to one through the use of power laws that relate one moment to another, as Liu and Illingworth (2000) and Hogan et al.∗ have done.”
Simulations of midlatitude frontal clouds by single-column and cloud--resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period (2005, unknown): “density of ice particle and the ice particle size, as discussed in the work of Liu and Illingworth [2000]. Individual values of IWC derived from a single measurement of radar”
A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer (2008, unknown): “…ensures that in regions where only the radar or the lidar is available, the scheme will tend toward existing empirical relationships involving temperature, such as the formulae for IWC as a function of Z and temperature [e.g., Liu and Illingworth, 2000; Hogan et al., 2006b; Protat et al., 2007].”
The Retrieval of Ice Water Content from Radar Reflectivity Factor and Temperature and Its Use in Evaluating a Mesoscale Model (2006, background): “This expression was originally proposed by Locatelli and Hobbs (1974) for “aggregates of unrimed bullets, columns and side-planes”; the use of simple power laws is widespread in the literature and in model parameterization schemes.”
Combined CloudSat‐CALIPSO‐MODIS retrievals of the properties of ice clouds (2010, unknown): “…the variational framework ensures that the retrieval tends toward an empirical relationship using radar reflectivity factor and temperature [e.g., Liu and Illingworth , 2000; Hogan et al. , 2006b; Protat et al. , 2007], and when the radar signal is unavailable (such as in optically thin cirrus),…”
Deriving Mixed-Phase Cloud Properties from Doppler Radar Spectra (2004, background): “The expected uncertainty for IWC and Do retrievals of this type is as high as a factor of 2 (Atlas et al. 1995; Liu and Illingworth 2000).”
Characteristics of mixed‐phase clouds. I: Lidar, radar and aircraft observations from CLARE'98 (2003, background): “…cloud radar alone, while having the capacity to make excellent measurements of ice-water content even in attenuating conditions for lidar (Liu and Illingworth 2000), may not be able to accurately constrain the radiation budget in some cases because of its inability to detect supercooled…”