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Estimating Nonraining Surface Parameters to Assist GPM Constellation Radiometer Precipitation Algorithmssurface emissivity structure ( Ringerud et al. 2015 ), or its impact upon the precipitation retrieval ( You et al. 2015 ; Carr et al. 2015 ). Inputs from land surface models have been used to calibrate microwave emissivity models, such as the Community Radiative Transfer Model (CRTM), over limited areas ( Harrison et al. 2016 ). Over well-drained soil types, transient soil moisture is introduced upon the onset of intermittent rain events ( Brocca et al. 2014 ; Turk et al. 2015 ). In general, the
surface emissivity structure ( Ringerud et al. 2015 ), or its impact upon the precipitation retrieval ( You et al. 2015 ; Carr et al. 2015 ). Inputs from land surface models have been used to calibrate microwave emissivity models, such as the Community Radiative Transfer Model (CRTM), over limited areas ( Harrison et al. 2016 ). Over well-drained soil types, transient soil moisture is introduced upon the onset of intermittent rain events ( Brocca et al. 2014 ; Turk et al. 2015 ). In general, the
Cloud Assumption of Precipitation Retrieval Algorithms for the Dual-Frequency Precipitation Radar(GCRM) ( Stevens et al. 2019 ). The GCRM explicitly calculates moisture convection using a microphysical cloud scheme. The development of the GCRM was pioneered by the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) ( Satoh et al. 2014 ). The DPR-L2 algorithm uses a correction method for attenuation by CLWC that was developed using 3.5-km-mesh NICAM simulation data. Preliminary results of the CLWC assumption using the NICAM data were described in Kubota et al. (2012) . This paper describes the
(GCRM) ( Stevens et al. 2019 ). The GCRM explicitly calculates moisture convection using a microphysical cloud scheme. The development of the GCRM was pioneered by the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) ( Satoh et al. 2014 ). The DPR-L2 algorithm uses a correction method for attenuation by CLWC that was developed using 3.5-km-mesh NICAM simulation data. Preliminary results of the CLWC assumption using the NICAM data were described in Kubota et al. (2012) . This paper describes the
