Geophysical Research Letters · 2018 · 16 citations · 36 references
Natural SciencesEarth SciencesMeteorologyCloud PhysicsHydrometeorologyRemote SensingCloud PropertiesCloud Remote SensingCloud StructureCloud Water ContentRadar ReflectivityCloud Liquid Water ContentCloud Microphysical Property RetrievalCloud Microphysical RetrievalsCloud Microphysics RetrievalsCloud Water Content In Stratiform CloudsRadar Remote Sensing Of CloudsRadar Retrieval Of Cloud Water ContentRetrieval
Abstract Accurate observations of liquid water content (LWC) in warm stratiform clouds are important for quantifying their radiative and hydrological effects and for studying aerosol‐cloud interactions. Retrieving LWC from radar reflectivity under drizzling or nondrizzling conditions has been investigated for several decades by the cloud remote sensing community. However, no physically plausible framework exists to address the biases introduced by drizzle on existing retrieval techniques. We present the modified Frisch retrieval (ModFrisch), which combines radar and microwave radiometer measurements to retrieve LWC in both nondrizzling and drizzling conditions. It is shown, using a 1‐D steady state microphysical model and a radar simulator, that the uncertainty of ModFrisch is up to four times smaller than the uncertainty of similar retrievals under drizzling conditions, enabling LWC profiling with an accuracy of 20%. The performance of the ModFrisch technique is evaluated using 1 year of observations.
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Robert Wood · Monthly Weather Review · 2012 · 1.3K citations
A. J. Illingworth, Robin J. Hogan, Ewan O’Connor et al. · Bulletin of the American Meteorological Society · 2007 · 780 citations · Full text