Arctic Mixed-Phase Cloud Properties from AERI Lidar Observations: Algorithm and Results from SHEBA

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Retrieving Liquid Wat0er Path and Precipitable Water Vapor From the Atmospheric Radiation Measurement (ARM) Microwave Radiometers (2007, background): “[9]–[11]); however, the most common approach is to retrieve this geophysical parameter from observations in the microwave region of the spectrum (e.”
Thin Liquid Water Clouds: Their Importance and Our Challenge (2007, methodology): “MIXCRA v2 Turner AERI-derived τ and r e, and hence LWP, using radiance observations from 8 to 13 μm ( Turner 2005 )”
On the Representation of High-Latitude Boundary Layer Mixed-Phase Cloud in the ECMWF Global Model (2014, background): “Three ground-based retrievals—MICROBASE (Dunn et al. 2011), Shupe–Turner [Shupe et al. (2005) and Turner (2005), referred to here as ‘‘S-T/VAR’’], and Wang et al. (2004, referred to as ‘‘WANG’’) are available as part of the ARM Cloud Retrieval Ensemble Dataset (Zhao et al. 2011, 2012).”
Ground-Based Temperature and Humidity Profiling Using Spectral Infrared and Microwave Observations. Part I: Simulated Retrieval Performance in Clear-Sky Conditions (2009, background): “Previous studies (e.g., Turner 2005) have assumed that the random noise between any two of these spectral channels is independent.”
Planetary Spectrum Generator: An accurate online radiative transfer suite for atmospheres, comets, small bodies and exoplanets (2018, methodology): “[77,78]) such as has been done by Turner and collaborators with LBLDIS [79].”