The Retrieval of Ice Water Content from Radar Reflectivity Factor and Temperature and Its Use in Evaluating a Mesoscale Model
By Robin J. Hogan, M. Mittermaier, Anthony Illingworth. 2006
288 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/b5b49a96f2dce26e38210f5dd663815988fcfd80
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Andrew J. Heymsfield
- A. Bansemer
- C. Schmitt
- Graeme L. Stephens
- Bjorn Stevens
- Julien Delanoë
- Johannes Quaas
- Robin J. Hogan
In Global and Planetary Change
- Andrew J. Heymsfield
- A. Bansemer
- C. Schmitt
- Graeme L. Stephens
- Bjorn Stevens
- Julien Delanoë
- Johannes Quaas
- Robin J. Hogan
Citations in the corpus
- Large‐eddy simulations over Germany using ICON: a comprehensive evaluation (2017, methodology): “Ice water content (IWC) profiles are obtained from cloud radar reflectivity and in-cloud temperature (here provided by COSMO-EU), using the parametrization by Hogan et al. (2006).”
- Retrieval of ice cloud microphysical parameters using the CloudSat millimeter‐wave radar and temperature (2009, background): “A number of ice cloud retrievals have been reported in recent years, some using reflectivity alone [e.g., Sassen et al., 2002; Heymsfield et al., 2005; Sayres et al., 2008] and some adding temperature as an additional constraint [e.g., Liu and Illingworth, 2000; Hogan et al., 2006].”
- Improved Representation of Ice Particle Masses Based on Observations in Natural Clouds (2010, background): “If m were biased by a factor of 6 50%, the IWC and r e would change by this amount, the IWC retrieved from radar reflectivity by about 6 15% (Hogan et al. 2006), the terminal velocity y t 5 a ( m ) 0.5 by about 2 30% to 1 40%, and precipitation rate derived from radar reflectivity by 2 60% to 1 80%…”
- A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer (2008, methodology): “…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].”
- Snow Size Distribution Parameterization for Midlatitude and Tropical Ice Clouds (2007, methodology): “This is essentially the same form that was used by Hogan et al. (2006) to describe the relation between reflectivity and IWC.”
- Combined CloudSat‐CALIPSO‐MODIS retrievals of the properties of ice clouds (2010, unknown): “These relationships have been derived using mid ‐ latitude in ‐ situ aircraft data and the radar reflectivity they predict is very close to observations [ Hogan et al. , 2006b], although may not be entirely suitable for tropical or polar clouds.”
- A global view of midlevel liquid‐layer topped stratiform cloud distribution and phase partition from CALIPSO and CloudSat measurements (2010, unknown): “Considering the performance of each method and the available ancillary measurements for CloudSat radar, we used the radar and temperature method [Hogan et al., 2006] to estimate the IWC in mixed-phase MLTSCs,”